Tag Archives: Good ITSM

ITSM, Leadership, Organizational Change

Nothing will change. Unless you change.

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A few years ago, I was invited to conduct an ITSM assessment for an organization. While the request itself wasn’t unusual, it was unusual in that I had conducted an ITSM assessment for that same organization a few years prior. The  IT leadership of the organization had not changed over that time, apart from a different person leading their ITSM adoption efforts. But I was intrigued by the prospect of revisiting a past client engagement to learn whether my previous recommendations had had the positive impact that I had determined was possible.

After conducting interviews, examining their ITSM policies and procedures,  reviewing their IT strategy, and evaluating their ITSM performance reports, I was disappointed to find that there had been no substantial change in their ITSM journey from when I first visited.

I confronted the CIO with my findings. During our conversation, he acknowledged that there had not been much progress in their ITSM journey. He went on to ask if I would simply just tell them exactly what they needed to do, based on my “deep” knowledge of his organization.

I was taken aback. It had been a few years since that first assessment. Over the course of the two engagements,  I had spent about a total of 30 days interacting with the organization – hardly what I would consider a qualification for having a “deep knowledge” of the organization.

So, I took a deep breath, looked the CIO in the eye, and told him that – that I felt that 30 days of engagement over a few years doesn’t constitute a “deep” knowledge of the organization. Further, it was not an issue of not knowing what needed to be done – what needed to be done was clearly outlined in both assessment reports. The issue was that no one – including the CIO – wanted to change.

And then I said it.

“Nothing will change unless there is change.”

And with that, our meeting ended. I packed up my laptop,  left the building, drove away….and  subsequently was not invited back.

Everybody wants change. No one wants *to* change.

I see it all the time. People within an organization get enthusiastic about making a change, improving what is currently being done, expanding and enhancing their capabilities, thinking in terms of possibilities. Excitement fills the discussions within the conference rooms. People leave meetings eager to get started.

And then the time comes for the work that needs to be done to make the change….and sadly, things often go kaput.

What happened?

The 3 U’s of failed change

I’m no psychologist, but from everything that I have read, experienced, and observed about failed change, it seems to come down to the basic human instinct of fear of change. In my experience, that fear of change presents itself in one or more of the following symptoms that I call the “three U’s of failed change”.

  • Unknown – Change pulls people out of their personal comfort zones, where they feel safe. According to this article, this uncertainty feels like failure to our brains, and our brains automatically work to prevent us from failing.
  • Unprepared – Many people resist change because they feel unprepared. Provided training doesn’t really prepare people for the change, and as a result, there is a feeling of loss of mastery. Communications aren’t two-way, so there is no opportunity for feedback or to get answers to questions.
  • Unwilling – Even though people know that processes and systems aren’t working as well as they could, people have become comfortable in their interactions with those processes and systems. They “know” where the issues are, and how to make things work despite those issues. Changes to those processes and systems are perceived as a threat to the personal value of the people doing that work.

These are powerful reasons why change fails, but they are not insurmountable.

How can anything change…unless *you* change?

Is change working through your organization? Are you personally going through change? The answer to these questions is likely “yes”. Organizations are continually changing and evolving. As individuals, we are continually evolving as well. Think about it – what is different about your organization today when compared to two years ago? Compared to two months ago? What events or learnings over that time – both from a professional perspective and a personal perspective – have had an influence on you?

Change is constant – in our lives and in our careers. Here are some tips that I have found useful when experiencing change.

  • Educate yourself. Much of the angst around change is the fear of the unknown. To combat that fear, learn all that you can about what is changing. This will help restore any feelings of loss of mastery.
  • Ask questions. Fill in gaps in your understanding about what is changing. Listen for the “why” – the compelling reason change is necessary, and what success will look like after the change. This will help with any feelings of being unprepared.
  • Try it on. While it takes courage to push through the unknown, leaning into the change and exploring possibilities provides a sense of control. Being a pioneer within the change helps overcome feelings of loss of value. Trying on the change also provides you with valuable insights that you can use to make data-driven decisions about your next steps.

Change is a constant – in our organizations, in our jobs, and in our personal lives. Don’t let change paralyze you – take control. Educating yourself, asking questions, and trying on the change gives the you power and control you need to successfully push through the unknowns associated with change.

 

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AI, ITSM

Three AI truths with IT Service Management

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There’s no question that introducing AI capabilities can have a dramatic impact on IT Service Management (ITSM). Done well, AI adoption will free up ITSM professionals to do the work for which humans are uniquely qualified, like critical thinking, contextual understanding, and creative problem-solving. Furthermore, AI will enable organizations to realize many of the theoretical benefits of ITSM. For example, the use of AI and machine learning can leverage comprehensive in-depth data, not just a small recent sampling, for cause analysis, problem detection, and impact determination of problems. Another example is the use of AI can increase the data of the IT environment and automate the remediation of incidents.

But AI is not a “magic wand” for ITSM.

Before introducing AI capabilities into ITSM, organizations must first consider these three AI truths.

Truth #1 – AI needs good data

For the use of AI to be effective, it needs data. Lots of data. But, if that data is inaccurate, lacks integrity, or is not trustworthy, then the use of AI will only produce inaccurate or poor results.

Data quality is an issue that many organizations will have to tackle before realizing the complete benefits of introducing AI to their ITSM implementations. These means that organizations will have to step up their technology and data governance posture. According to this recent Privacera article, a fundamental principle of data governance is having a high-quality, trusted data source.  Having trusted data sources enables capabilities like ITSM to make accurate and reliable decisions regarding service management issues. But if the data sources used by ITSM tools contain data that is unregulated, the ability to automate responses is significantly hindered.

Truth #2 – AI doesn’t mean process design goes away

The need for effective ITSM processes and procedures doesn’t go away with AI adoption. Machine learning can be used to detect data patterns to understand what was done to resolve an issue. But what machine learning doesn’t do is determine if what is being done is the best approach. Machine learning doesn’t consider organizational goals and objectives with the adoption of ITSM. Machine learning cannot determine what processes are missing or need improvement to gain needed effectiveness and efficiency with ITSM.

Truth #3 – AI doesn’t replace knowledge

“Reducing cost”, often in the form of headcount reductions,  is frequently used as the justification for AI investment, as the use of AI will enable ITSM activities to be automated. And it’s true – many of the ITSM activities currently performed by humans can and should be replaced with AI-enabled capabilities, such as the automated fulfilment of service requests, automated response to incidents, and problem data analysis. But one of the hidden costs of using AI to justify headcount reductions is the form of knowledge loss – the knowledge inside people’s heads walks out the door when their positions are eliminated. And this is the knowledge that is critical for training the chatbots, developing the LLMs needed, and to the continual improvement of AI and ITSM.

While AI can provide the “how” for “what” needs to be done, it cannot answer the “why” it needs to be done.

Good Governance facilitates AI-enabled ITSM

Without governance,  AI can do some serious damage, not just with ITSM, but to the organization. As the role of IT organizations shifts from being data owners (often by default) to being data custodians, having well defined and enforced policies regarding data governance is critical. This means that the frequently found approach to governance consisting of an IT track and a corporate track is becoming untenable. As organizational processes and workflows become increasingly automated, enabled by AI capabilities, governance must become cross-functional[i] , with sales, marketing, HR, IT, and other organizational functions all involved. Organizations must consider and address data-related issues such as compliance with data privacy laws, ethical data use,  data security,  data management, and more.

An effective approach to governance enables organizations to define their digital strategy[ii] to maximize the business benefits of data assets and technology-focused initiatives. A digital strategy produces a blueprint for building the next version of the business, creating a bigger, broader picture of available options and down-line benefits.[iii] Creating a successful digital strategy requires an organization to carefully evaluate its systems and processes, including ITSM processes. And as ITSM processes are re-imagined for use across the enterprise in support of organizational value streams, effective governance becomes essential.

Getting ready for AI-enabled ITSM

What are some of the first steps organizations should take to get ready for AI-enabled ITSM?

  • Formalize continual improvement. One of the most important practices of an effective ITSM implementation is continual improvement. As organizations are continually evolving and changing, continual improvement ensures that ITSM practices evolve right alongside those business changes. And just like service management, AI adoption is not an “implement and forget”; in fact, AI will absolutely fail without formal continual improvement.
  • Answer the “why”. To say that there is so much hype around the use of AI within ITSM would be an understatement. Before jumping into AI, first develop and gain approval of the business case for using AI within ITSM. How will success be determined and measured? What opportunities for innovation will emerge by relieving people from performing those tedious and monotonous tasks associated with the current ITSM environment? What returns will the organization realize from the use of AI within ITSM? What new business or IT opportunities may be available because of the use of AI within ITSM? A good business case establishes good expectations for the organization regarding AI and ITSM.
  • Begin thinking about how AI can be leveraged by ITSM process designs. As discussed in this recent HBR.org article, AI will bring new capabilities to business (and ITSM) processes. With these new capabilities, organizations will need to rethink what tasks are needed, who will do those tasks, and the frequency that those tasks will be performed. The use of AI will enable organizations to rethink their ITSM processes from an end-to-end perspective, considering what tasks should be performed by people and what tasks should be performed by machines.

The concept of augmenting ITSM with AI is a “no-brainer”.  However, success with AI in an ITSM environment requires a lot of up-front thought, good process design, solid business justification, and considering these three AI truths.

[i] https://2021.ai/ai-governance-impact-on-business-functions

[ii] https://www.techtarget.com/searchcio/definition/digital-strategy

[iii] Ibid.

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Human-Centered Design, ITSM

Can Human-centered Design rescue your ITSM investment?

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Is your organization struggling to realize a return on investment with ITSM?

If you answered “yes”, you’re not alone. Many organizations are not getting the expected return on investment that was expected by adoption ITSM practices. Organizations are facing several challenges to realizing a ROI with ITSM.

  • “IT Operations only” approach. Many ITSM implementations have only focused on ITOM (IT Operations Management) aspects, such as managing user support requests, resolving incidents, or implementing changes. Services are not defined in terms of business outcomes or business value, making it difficult to determine the holistic benefit of ITSM practices.
  • Poorly defined workflows. This survey revealed that 43% of organizations cited excessive manual processing or insufficient automation as their top ITSM challenge. This points toward having poorly defined or undefined workflows that are obstacles for automation and AI-enabled capabilities.
  • Ineffective ITSM practices. According to this survey , 56% of businesses reported a significant impact on revenue due to technology downtime. Does this indicate ineffective incident management, problem management, change management, and continual improvement practices?
  • Total cost of ownership associated with ITSM tools. The cost of implementing ITSM doesn’t stop with the implementation of the tool. Ongoing maintenance costs, both in terms of licensing, support, and daily management of the platform contribute to the cost of ownership. Post-implementation costs, such as user training, organizational change management, and ongoing process improvements also add to the cost of ownership. Many IT organizations also struggle with what they see as conflicting demand between business priorities and operational activities.
  • Lack of specific ITSM success goals and metrics. Many organizations have not defined specific success measures for ITSM adoption. Further compounding the challenge is that organizations have not defined metrics that indicate how ITSM contributes to the organization achieving its mission, vision, and goals.

These are big challenges for many ITSM implementations determining an ROI. But in my opinion, there are two reasons why ITSM isn’t delivering the expected ROI.

  • ITSM has been and continues to be about IT, not about the business. Most ITSM implementations are focused on how to manage the work of IT, not on delivering business results.
  • ITSM practices were not designed with business outcomes and value in mind but instead based upon the requirements of the ITSM tool being implemented.

And even if one of the drivers for ITSM implementation was to manage interactions with end users – an operational aspect of IT management – the end user typically had no voice or input into the design of ITSM practices. And the lack of user involvement with ITSM design shows up in the experience with IT. As an example, the 2023 Global IT Experience Benchmark report from Happy Signals indicates that 49% of survey respondents identified “IT Support Services” as a negative factor regarding their experiences with IT.

Haven’t people always been a core focus of ITSM?

In theory, a core focus of ITSM is the people that interact with technology. “Customers” are the people that have defined the requirements and need for a service. It is the customer that determines the value of the service that IT provides. Customers are also users of those IT services. “Users” are people that rely upon and interact with IT services to get their work done. The use of the technology associated with these IT services is intended to improve productivity and efficiency of users in getting this work done.

But in practice, ITSM adoption has been more about how IT manages its work, and less about how the experience or success people have with technology. In fact, users are rarely – if ever – part of process design or technology implementations associated with ITSM.

Think about it. In practice, most incident management practices are built around routing and closing tickets as quickly as possible. Service desks and their agents are evaluated by how quickly an issue is closed (with “closed” usually being an IT judgement, and not confirmed with the end user), and not in terms of the user experience.

In practice, Service Level Agreements (SLAs) do not discuss business performance measures, but describe how IT measures its work. And many SLAs are defined by IT with no input from the end user or customer – yet the end user is expected to act within the terms of the SLA. In practice, “customer” satisfaction surveys are not engaging the customer, but rather the user. Compounding the situation is that the return rates of those satisfaction surveys are anemic, and actions are rarely (in practice) taken based on the information captured in the few surveys that are returned.

So how can organizations get the focus of ITSM back on people?

It’s about PPT plus HCD!

In the early 1960s, Harold Leavitt introduced what eventually became known as the “golden triangle” or “three-legged stool” of People, Process, and Technology (PPT) as guidance for managing change within an organization. The model represents if one component shifts, the other two must also shift to maintain an effective balance as change progresses.[i]  The PPT framework is simple but powerful. And while PPT is a mantra often heard as part of ITSM adoptions, the ‘people’ aspect is often ignored, as the focus is typically on the implementation of the technology associated with ITSM.

How can organizations take impactful, people-focused actions based on the PPT framework? This is where human-centered design (HCD) comes in. HCD is a framework for creative problem-solving that focuses on understanding the needs, wants, and limitations of the people who will most directly benefit from the solution.[ii]  It’s about designing with empathy for the people that will be interacting with the solution. HCD is composed of three elements:  desirability – the product or service meets users’ needs; feasibility – the product or service is technically feasible;  and viability – the product or service is viable as a business model.

There are real benefits when organizations shift to an HCD approach.

  • Technology teams build better, more robust products and services when they have a true understanding of individuals, their needs, and their journeys. [iii]
  • Leveraging human-centered design principles also helps technology teams deliver faster and at lower costs — mostly because they’re hitting closer to the mark on their first delivery. [iv]
  • Gartner’s 2021 Hybrid Work Employee Survey, which found that employers with a human-centric philosophy across the business saw reduced workforce fatigue by up to 44%, increased intent to stay by as much as 45%, and improved performance by up to 28%.[v]
  • A McKinsey study found that over 5 years, companies with strong design practices outperformed their industry counterparts in terms of revenue growth and returns to shareholders. [vi]

It’s a compelling argument for introducing HCD into ITSM practices – and bringing the focus of ITSM back to people.

Shifting the focus of ITSM to people

How can HCD be applied to ITSM? It all starts by asking “what do people really want?” from ITSM. Here are some tips for getting started.

  • Start where you are. Don’t throw away what has been done with ITSM, but human-centered design begins with a mindset shift. Commit to making ITSM more about the business and less about IT by shifting from a “technology-first” mindset to a “human-first” mindset.
  • Truly capture and understand the user perspective. Let’s face it – the way that the user perspective is typically captured today (via post interaction surveys sent from the service desk) isn’t that effective. What are better ways for IT organizations to understand the user experience? First, asking better questions (not rating questions) will yield better answers into the true user perspective. Going to where work is being done and observing user interactions with technology is powerful and informative. Hosting regular, periodic small focus group meetings with users provides opportunities for deeper discussions about the user perspective.
  • Include users in continual improvement actions. Including end users as part of continual improvement actions uncovers underlying needs, improves experience, and helps provides solutions that solve the real issue.

Shifting ITSM practices from a technology-first to a people-first approach will have a major positive impact on users, customers, organizations – and ITSM.

Need help with shifting your ITSM practices from a technology-first mindset to a people-first mindset? It starts with understanding the user’s experience. We can help – contact Tedder Consulting for more information.

[i] forbes.com/sites/forbestechcouncil/2024/04/19/20-expert-tips-for-effective-and-secure-enterprise-ai-adoption,  Retrieved April 2024.

[ii] https://www.mural.co/blog/human-centered-design Retrieved April 2024.

[iii] https://www.cio.com/article/413079/cios-find-big-benefits-in-shift-to-human-centered-design Retrieved April 2024

[iv] Ibid.

[v] Ibid.

[vi] https://www.mckinsey.com/capabilities/mckinsey-design/our-insights/the-business-value-of-design, Retrieved April 2024.

 

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AI, GenAI, ITSM

4 things IT can do to improve Business-IT Alignment – and enable AI success

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A few years ago, I thought that we had finally moved beyond the conversation of “business-IT alignment”.  I thought that business processes and technology had finally become integrated; if not integrated, then at least the boundary between business processes and technology was significantly blurred.

Well, I was wrong. Business-IT alignment – or the lack thereof – is still a thing.

We’re still struggling with business-IT alignment

This recent CIO.com article discusses seven hard truths of business-IT alignment.  Here are a few of those hard truths:

  • “The business is not your customer.” I agree. For IT to act like non-IT colleagues are ‘customers’ simply drives a wedge between the IT department and the rest of the organization. This behavior also provides IT with an excuse for not understanding the business of the business.
  • “Like it or not, you are responsible for business outcomes.” That’s true. The real value from the use of technology is for the organization to realize business outcomes and value. But too often, IT sees and measures success in terms of projects getting done, or laptops being delivered, or contacts at the service desk being resolved.
  • “The business really does need to understand what you do.” That’s also true. While the IT department is responsible for the installation and maintenance of digital technology, IT must be more than just a technology caretaker. IT organizations must help the rest of the organization understand how the use of technology supports business strategy.
  • “You’re probably talking about the wrong things.” Couldn’t agree more. Many of the measures and reports that are being produced by IT are only because the tools being used by IT make it easy to produce these measures and reports. Do these measures have any meaning or relevancy to the rest of the organization?

Why is this a problem?

Business-IT alignment is not just a catch phrase or buzzword. The digital era is amplifying the importance of having strong business-IT alignment. But within many organizations, business-IT alignment is missing. How does the lack of alignment impact IT and the rest of the business?

First, IT is unable to respond to business demands at the speed of business. Consider the challenge that every modern business faces – serving the digital customer. The digital customer is demanding that businesses provide services at anytime from anywhere. In response, businesses want to leverage emerging technologies such as chatbots and GenAI to meet that demand. But because IT hasn’t been involved in those business strategy conversations, it is forced to play “catch up” to meet these demands – demands for which IT is usually unprepared. IT is not prepared because no one has been trained, much less involved in the selection of this technology – but then IT is expected to make it work as well as fit with existing systems and infrastructure. When IT is forced to play catch up, in-flight projects get delayed as IT resources are shifted to meet new demands.

But this behind-the-scenes work is rarely visible to the rest of the business. To the rest of the business, IT is a barrier to responding to the digital customer.

Secondly, the rest of the organization continues to look at IT as just a cost center. What those outside of IT may not realize is that IT must deliver warranty (security, resiliency, continuity, capacity, performance) as part of its services – regardless if that’s been communicated or specifically requested. Delivery of an expected level of warranty costs money – costs that may not be apparent to non-IT colleagues.

Why ITSM hasn’t helped

Wasn’t ITSM adoption supposed to address issues like the above and align the IT organization with the rest of the business? True, business-IT alignment is a goal of ITSM adoption…but for many organizations, it didn’t happen. Why?

  • ITSM was (and continues to be) an IT initiative with little to no involvement from non-IT colleagues. The initial ITSM project focused internally on IT processes and infrastructure management and excluded defining services and business-IT strategy. Making things worse, IT didn’t map how what it does supports business results or delivers business value. There was (and is) no link established between ITSM goals and objectives and organizational goals and objectives.
  • The ITSM initiative only focused on implementing a tool. This is a suboptimal approach for two reasons. A technology-only focus excludes how ITSM impacts people – both within and external to IT, as well as processes, suppliers, and partners. Secondly, the IT organization only took actions that facilitated use of the tool, not necessarily align with business needs.
  • ITSM is only focused on IT operations – or even worse, just the IT service desk. ITSM is viewed only as a way to deal with end-users of IT products and systems, never considering how technology could be used strategically to deliver business value or results. As a result, not only is ITSM not aligned with the business, IT is not internally aligned.

Successful AI adoption requires Business-IT Alignment

Businesses continue to experience the impact of the digital economy. In the digital economy, the “store” is always open, and customers expect that systems are “always on”.  Customers can (and will) do business whenever and from wherever they want – using any internet-accessible device. Customers expect a differentiated, frictionless experience that provides value. Encountering system downtime or a poor experience is simply out of the question.

And organizations are turning to new capabilities enabled by emerging technologies, like chatbots, GenAI, intelligent automation, and more to meet this ever-increasing customer demand. In the digital economy, the technology managed and delivered by IT is the crucial connector between a business and its customers.

What does this mean for IT? IT can no longer play a back-office role within digital organizations. IT has a critical role as a business operates within the digital economy – and strong alignment between business and IT is required.

The successful use of chatbots, GenAI, automation, and other emerging technologies starts with having strong business-IT alignment. So how do organizations seize this opportunity, avoid the mistakes of the past (as with ITSM adoption), and realize true business-IT alignment?

First, ensure that any AI initiative has clearly defined objectives that are aligned with business strategy.

Second, successful adoption of AI requires strong involvement of business leaders[i]. Successful use of AI-enabled capabilities depends on the AI understanding the business of the business. It’s business leaders that have the knowledge that AI needs.

IT organizations must make the investment in building skills and competencies, in both AI technologies and in understanding the business of the business. Technology-only skills are no longer sufficient. IT must become that trusted advisor to help guide business leaders as the organization navigates the challenges of an AI-enhanced digital economy.

Lastly, good ITSM is an enabler for AI adoption. Good ITSM means aligning activities with business goals and objectives, defining services to ensure a shared understanding how technology delivers business value and outcomes, and providing business-relevant metrics and reporting.  As a result, good ITSM enables fact-based decisions regarding AI adoption, such as where intelligent automation would improve a customer or employee experience.

Nothing will change – unless there is change!

Let’s be clear. Business-IT alignment challenges will not just go away, nor will they fix themselves. It’s up to IT to align with the rest of the organization, not the other way around. And it’s not just the CIO alone that can drive business-IT alignment – the entire IT organization must also drive it as well.

It’s time to break the pattern. Here are some suggestions for breaking through those alignment barriers– all of which can be initiated by IT.

  • Establish and nurture the guiding coalition. To demonstrate its commitment to overcoming the challenges of business-IT alignment, IT must form a team to drive change. This early step in Kotter’s 8-step model demonstrates IT’s commitment to driving improvement in business-IT alignment.
  • Map business value streams – plus. Value Stream Mapping is a great way to identify how value flows through an organization. But don’t stop there – identify and map how technology supports each step within each value stream. Review these value streams with all IT personnel to raise awareness of how IT enables business success. Then, take it one step further. Review value stream maps with non-IT stakeholders and decision-makers. Not only will this illustrate the role of IT in business success, but those stakeholders may also even be surprised to see how technology enables value flow through the business!
  • Look at what you’re reporting to whom. If IT is sending reports full of technology metrics to business colleagues, then IT is reporting the wrong things! Identify and define ways to measure and report on metrics that directly reflect the organization’s mission, vision, and goals. By measuring and reporting on metrics that are important to the business, IT demonstrates how its contributions lead to business success.
  • Get serious about continual improvement. IT organizations can positively influence non-IT colleagues by fixing those things that cause constant irritation when interacting with IT products, processes, and services. Establishing a regular and on-going continual improvement practice to remove these irritants – then publicizing those efforts – will begin to change the perception of IT.

Business-IT alignment has long been a critical success factor for the modern, digital-age organization. Success with AI adoption is raising the need for alignment to a new level. Taking these first steps will set you on the path of business-IT alignment – and AI success.

Does your IT organization continue to struggle with alignment to “The Business”? Let Tedder Consulting help you establish the strong foundation you need so that your organization will realize the business results required from its investments in and use of technology.  Contact Tedder Consulting today for a no-obligation discussion about how we help!

[i] https://www.forbes.com/sites/forbestechcouncil/2023/10/06/why-business-leaders-should-understand-ai-alignment, Retrieved April 2024.

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AI, ITSM

The 3 Pillars of Success for AI-enabled Service Management

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In her book[i], Dr. Kavita Ganesan suggests that any AI adoption be evaluated using three pillars:

  • Model success – Is the AI model performing at an acceptable level in development and production? (In other words, the model performs at the required levels of accuracy, execution time, and other factors.)
  • Business success – Is AI meeting organizational objectives?
  • User success – Are users satisfied with the AI solution and perceive it to be a valid solution?

Many organizations are rushing to incorporate AI-enabled technologies to improve their service management capabilities. AI technologies, such as AI-assistants, chatbots, intelligent process automation, generative AI, and more, can provide a next-level set of capabilities for service management. But are these organizations’ service management practices positioned to fully take advantage of these new capabilities?

Let’s be clear – AI is not a “magic wand.”  AI is a technology. And like any other technology, there are factors that must be addressed if an organization is to realize the benefits that AI can bring to service management.

First, AI needs data – and lots of it. The effectiveness of AI depends on the quantity, quality, relevancy, and timeliness of the data being used by the AI models and algorithms. Any limitations in the data being used by AI will be reflected in the outputs produced by AI – and the use of those outputs by service management processes. The old axiom remains true – garbage in will result in garbage out.

AI cannot be a solution looking for a problem. Just because AI is a “hot topic” now doesn’t mean that it is the solution for every business challenge – especially service management issues. If issues like ineffective workflows, undefined services, poorly defined measures, lack of continual improvement practices, or the absence of high-quality data already exist within the service management environment, the introduction of AI will only exasperate those issues.

Lastly, the use of  good organizational change management practices is critical. There is a lot of FUD (Fear, Uncertainty, and Doubt) surrounding the introduction of AI[ii] within organizations. Yes, there will be impacts to how humans work and interact with technology, but for whatever reason, there is a heightened fear associated with AI-adoption within service management.

Applying the 3 pillars for AI success to AI-enabled Service Management

Before rushing into incorporating an AI solution with a service management environment, let’s adapt and apply Ganesan’s three pillars for success with AI-enabled service management.

The first pillar is business success. How do current service management capabilities support business outcomes and enable value realization? How will the introduction of AI capabilities further enhance the realization of the outcomes and value delivered by service management? If the answers to the above questions aren’t clear, revisiting some foundational elements of service management is in order. Consider the following:

  • Have IT services been defined, agreed, documented, and measured in terms of business value, business outcomes, and the costs and risks associated with the delivery of services? Many IT organizations have defined what they call “services” in terms of
    • what goods and products (like laptops and smart devices) are provided
    • the service actions (like password resets) a service desk will perform, and
    • procedures for gaining access to digital resources (like a cloud-based resource or a shared drive).

Not only does this approach inhibit a mutual understanding of the vital role of technology in business success, but it also commoditizes what IT does. Secondly, this approach fails to establish business-oriented measures regarding results and value.

  • Are non-IT colleagues named as service owners? Are these non-IT colleagues actively involved in the delivery and support of services? This is a significant issue for many service management implementations. In many organizations, IT personnel, not non-IT colleagues, have taken on the role of service owner – the person that is accountable for a service meeting its objectives and delivering the required business outcomes and value. The service owner is critical to understanding what is needed and importantly, how business outcomes and value are realized and should be measured.
  • How might AI adoption enable organizations to consider service management practices that would enhance their business? For example, better service portfolio management would enable better utilization of and data-driven investments in services and technology.

The next pillar is employee success. Frequently (and counterintuitively!), service management practices have been designed and implemented with IT and not the IT service consumer in mind. As a result, interacting with the service desk or a self-service portal can be an exercise in frustration due to the over-technical nature of those interactions. Consider:

  • How might the introduction of AI result in friction-free interactions with services and the fulfillment of service requests? How might AI personalize end-user interactions with service management practices? Consider how AI could shift the burden of interacting with service management practices from the end-user to a personalized and proactive AI-enabled capability.
  • How might the introduction of the AI model result in friction-free interactions with supporting IT services? If consuming IT services present challenges to end-users, it can also be challenging for those that deliver and support those services. Will AI-capabilities enable service management practices to shift from a reactive to proactive stance by identifying and eliminating causes of incidents before they occur? Will AI-capabilities enable better issue resolution by suggesting potential solutions to IT technicians?
  • How might the introduction of AI enable employees to make better, data-driven decisions based on relevant, timely, and accurate knowledge? Knowledge management is among the most significant challenges of a service management implementation, as knowledge is ever evolving and continually being created, revised, and applied. AI may provide a solution – this blog explores how Generative AI could provide organizations (not just IT) with the capability of harnessing its collective knowledge.

The final pillar is AI / service management model success. Frankly, many service management challenges can be resolved through continual improvement activities. Some issues may be resolved through the application of effective and efficient automation. Questions to consider include:

  • How might AI adoption result in better and proactive detection and resolution of issues before those issues impact the organization? How might AI adoption result in improved change implementations through better testing or confirmation of positive business results?
  • Is there sufficient, good-quality data to enable AI-driven service management actions? If AI models are not supplied with sufficient, good-quality data, the results from the model will be suboptimal at best – or worse, just flat-out wrong.
  • What is the required level of accuracy for the model? A “100% accurate” model may be too costly to achieve and maintain; a “75% accurate” model may be perceived as a failure.

Get ready for AI-enabled service management

The introduction of AI to a service management environment can be a game-changer on many levels. Here are four steps to get ready:

  • Make the business case for introducing AI to service management. Think strategically about AI , service management, and how the combination of AI and service management will help the organization achieve its mission, vision, and goals.
  • Communicate, communicate, communicate. The mention of AI adoption may cause concerns among employees. Start open conversations regarding AI-enhanced service management capabilities, incorporate feedback, and proactively address concerns.
  • Identify and define success measures. The mere implementation of AI capabilities within service management is not an indicator of success. Define how the benefits articulated in the business case will be captured, measured, and reported.
  • Begin data governance now. The success of any AI initiative depends on the availability of good quality data. If service management is to leverage AI capabilities, the data being captured must be of good quality. Define and publicize data quality standards for service management practices and ensure compliance through periodic audits.

The introduction of good AI capabilities will not fix bad service management. Applying the three pillars described above will ensure successful introduction of AI capabilities resulting in next-level service management practices for any organization.

Is your service management approach “AI-ready”? An assessment by Tedder Consulting will identify any foundational gaps so your service management environment is “AI-ready”.  Contact Tedder Consulting today for more information!

[i] Ganesan, Dr. Kavita. “The Business Case for AI: A Leader’s Guide to AI Strategies, Best Practices & Real-World Applications”.  Opinois Analytics Publishing, 2002.

[ii] https://www.forbes.com/sites/jenniferfolsom/2024/03/28/meet-your-newest-co-worker-ai  Retrieved April 2024.

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ITSM

Don’t Go Chasing Electrons

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One of my biggest gripes about service management is that the work of service management has become synonymous with service management tools. This has really become an Achilles heel for service management. While service management tools are useful, they typically don’t take a value and outcome-based approach to identifying and defining services.

Because of this, many IT organizations have found themselves executing superficial service mapping initiatives that hardly get the complete job done. Rather than first critically think about services in terms of the value and business objectives that must be achieved with the use of technology, they buy and implement a service management tool. Then they use the tool to chase electrons across the network, map where those electrons went and what was found, and call it done.

Here’s why chasing electrons with a service management tool to define services can be the kiss of death to any real service management success.

What Service Management Tools Actually Do

I want to be clear that I am not “anti-tool”. Good service management tools are a vital and necessary component of any successful service management initiative. But those tools only address a part of service management challenges.

In its simplest form, using a service management tool to identify services is an exercise in chasing electrons. This approach focuses on the technology and seemingly puts order to that technology… so you can keep chasing more electrons.

But it’s this use of the tools that frequently causes the biggest problems with service management within organizations. Sure, this approach will find whatever is active on the network. It will group what it finds by application or system. But it also perpetuates the perception that service management is just about the tool… and not how good service management enables and supports the outcomes and value needed by a business from its investments in and use of technology.

Network maps don’t mean much if you can’t connect them to real business outcomes. Capturing what software is found on what hardware does not articulate the business value provided by that technology. An electronic discovery will never find the people, practices, or processes involved (and absolutely critical!) in delivering services within the organization.

What you’re left with is a reinforcement of a gap between IT and the business.

The Consequences of Relying on Tools to Define Services

Here’s what happens when you implement a service management tool without doing the prerequisite work:

  • IT spends a chunk of money on an expensive tool.
  • IT spends a large amount of time and money implementing that tool.
  • Because of the investments in both time and money, IT and the business as a whole feel they need to stick with their tool, no matter if it’s actually solving their problems.
  • When the initial tool implementation is done, IT and the business think that service management work is “done” as well.

Well, it’s not “done”. In fact, it becomes an ongoing issue. And the longer businesses ignore what should be service management, what should really be defined as services, the harder it becomes to fix it. As a result, IT will keep struggling with a reputation of being technology-oriented order takers. Yes, IT does more than configuring routers, writing code, and resetting passwords…but the tools don’t demonstrate that in business terms.

At some point after implementation, IT leaders have to ask themselves, “Have the accomplishments we’ve achieved with this tool helped us improve the value proposition of technology investments for my organization?”

How IT Can Stop Chasing Electrons

Defining services in terms of value and outcomes and implementing a service management approach that is actually about the business (not the technology) isn’t an out-of-the-box solution. But if you treat it like it is, you’re going to get stuck with definitions of services that don’t reflect the business needs of the organization and a burgeoning gap between the business and IT.

  1. IT needs to define services in terms of business value and outcomes

This is a point many would prefer to ignore, but it simply can’t be ignored. You can’t shortcut your way to defining IT services – and do it the right way. Tools will come into play at a later date and they will streamline the work, but they can’t do it without the right collaboration between IT and the organization.

Doing the work to articulate how your services enable or deliver business outcomes also positions IT to evolve as the business evolves. If we’ve learned anything over the last year, it’s that the way we do business can turn on a dime and IT has to be able to adapt to the ever-changing nature of how business does business. You can get ahead of the curve by having defined services in terms of business value and outcomes, then having ongoing conversations with your business colleagues about the value and outcomes needed from investments in technology, not just the technology.

2. IT needs to define the buying criteria for tools

You have to think about the long game with IT tool investments. It’s not easy to do, but it’s what builds the solid foundation of an IT organization that contributes to the bottom line.

IT has to define its tool-buying criteria based on business needs, not what the IT industry is seemingly telling them to buy. Every business is unique and solutions aren’t one-size-fits-all. Engaging key stakeholders to understand technology needs and business goals will help create buying criteria that will shortlist the tools into those that could actually work for you.

Additionally, establishing this buying criteria can help you improve your tool implementations. Often tool vendors or consultants will want you to implement a tool following some predefined technology playbook. But in reality, the best thing for your business is likely configuring the tool differently and in a way that best fits your business.

Before investing in a service management tool, ask yourself:

  • How does this investment answer the business value question?
  • Do we understand the types of outcomes that must result from this investment?
  • Why should our business want to invest in this?
  • Are we prepared to leverage the functionality of the tool?

Don’t Short Cut It

Tools are often marketed as an easy shortcut for your service management issues. But you have to think of investments in service management tools like running a marathon. A service management tool is like having a really good pair of running shoes. It can enable you to succeed. But if you haven’t done a pre-marathon training program, having good running shoes will only get you a few miles into the race – and then you will find yourself struggling. Good shoes alone will not help you complete the marathon.

Just like in running a marathon, you have to do the necessary work ahead of time to prepare yourself to win. You have to do the work to define your services in business terms, ensure you understand and can deliver the needed business outcomes, and that the work your team is doing is aligned with the business. Then, implement your tool and it will work better in the long run!

Good service management is not just about opening a ticket. It’s not just about resolving an issue or implementing a change. It is about how people, processes, and technology work together in a repeatable, measurable, and holistic way to consistently enable business outcomes and value realization by the entire organization. If service management isn’t doing this for your organization, I can help. Contact Tedder Consulting today.

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Business Relationship Management

Business-IT Alignment isn’t a 50-50 Deal

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More and more companies are transforming via digital transformation and discovering new lines of business or radically changing their existing business models through the use of technology.  What does this mean?  It means that IT and the business have no choice but to become aligned if they want to succeed.

It’s no longer just “nice to have” alignment between business and IT. If the IT organization isn’t aligned with the business, the business will go around IT to make their initiatives happen — and that can have catastrophic consequences for everyone. 

It’s one thing to have a meeting with both the business and IT in the room and claim that you’re aligned.  But the realities of what alignment looks like and what it really means for IT and the business is more complex than simply adding IT to meeting agendas. 

What does it mean for the business and IT to be aligned? Who’s responsible for creating that alignment?

From Service Provider to Solution Provider 

According to Tim Winders, Vice-Chancellor of Information Services at Purdue University Northwest, “IT is aligned with the business when IT moves from being a service organization to delivering business solutions.”

The subtle difference between providing business solutions and being a service provider requires a proactive approach. As Tim explains it, “In the reactive model, IT fixes problems but is outside of the decision-making process.”  Being proactive as an IT organization means being “a collaborative business partner delivering solutions that solve specific business problems. IT collaborates with the business to identify business problems to provide proactive solutions, improving products, customer experience, and business reputation.”

The days of IT just implementing the right technology are long gone. IT has to be an engaged part of every business strategy discussion because technology touches every piece of the business.  IT must be engaged from the beginning if that technology is to work to enable value to the business and its end users. 

Mike Gill, CIO at Marian, Inc, explains it this way, “You need to ensure your solution delivery provides value. The value is not if you have the best technology or it runs the most efficiently, the value is if it solves a problem the business has.” 

Of course, it’s easy to say that the IT organization is driving value and is aligned with the business. But what does ‘alignment’ actually look like?  How do you know if you’re aligned? 

What Does Business-IT Alignment Look Like?

If business-IT alignment is connected to driving business value, then you have to start there. Of course, as I’ve pointed out before, the problem with “value” is that it’s a perception. What’s valuable to IT might not be valuable to the business – and vice-versa.  So it’s important that value is identified and agreed by every stakeholder in the organization — customers, partners, suppliers and internal stakeholders. Defining and agreeing on the definition of value as an organization is the first step to getting IT and the business aligned. 

Once value is defined, you can refine your workflows and processes to ensure they are actually delivering business value, including the appropriate measures within those workflows to check for value. For example, Mike shared a way that he can determine if IT is aligned with the business. 

“We have an internally developed ERP system and have the freedom to implement workflows that provide maximum business value – it is a custom system tailored to our company. One sign that we are aligned is looking at transactions in the system,” explained Mike. “Are users doing all the steps in real-time or are they catching up transactions at the end of the day? Looking at the logs you can see if a process that should occur over a longer period (days, not minutes) is mirrored by a similar timeline of transactions in the system. If I see those transactions happening by different people over the course of a day or two then I know the system is aligned to the business (both function and usability). If I see all those transactions happen within minutes of each other then I know they are just catching up work into the system because they must – [which indicates that IT is] not aligned.”

The key here is that Mike made sure the technology fit and supported the workflows of the business, instead of the other way around – a key to business-IT alignment. This enables the technology to be instrumented or monitored to confirm business value – and therefore, better aligned with the organization. 

Additionally, to ensure you’re aligned, look to see if IT is being invited to new projects and initiatives at the kickoff meeting. According to Mike, “It is easy to invite IT leadership to monthly and annual executive status meetings and feel like you are giving them importance or that you are aligning business and IT. That does matter, but it matters more when the regular business projects and initiatives are inviting IT representation in the first steps. It means the business and IT are given the chance to stay aligned from the beginning rather than create the feeling that IT just does what the business says – that never leads to good outcomes.”

IT leaders must regularly check in with other company leaders to ensure that IT is involved with all upcoming initiatives.  If you do that, you’re on your way to business-IT alignment. 

What To Do About Business-IT Alignment?

Once some signs of business-IT alignment begin to appear within an organization, you have to ask yourself one thing: “What am I going to do with this opportunity?”

I believe that IT organizations struggling with business-IT alignment fall into one of two camps. The first group doesn’t know how to achieve business-IT alignment. For that organization, they need to collaborate across the organization to define and agree on value, co-create workflows and solutions to achieve that value, and work together to monitor and continually optimize those solutions.

The other camp consists of organizations that believe that they have business-IT alignment – but they don’t. This is a much larger number of companies than the number of organizations that just can’t figure out alignment.  For these companies, the IT organization is in danger of losing its influence in the company – if it has any influence at all.

Business-IT alignment can often become performative in organizations. It’s easy to have meetings, to gain an agreement on a definition of value, and to create workflows that should enable the realization of value. It’s another thing to ensure that everyone in the organization – both from the business and from IT- is following through and living that definition of value. 

The important thing every IT leader must do is identify what happens after the big discussions, after the kickoff meetings,  and understand what is really going on in the day-to-day running of the organization. Is your team clear on the value it delivers and how it delivers it? Are you enabling your team to work across departments and proactively identify and promote the value you’re delivering? Are you enabling the rest of the organization to have input in how IT is operating and to provide feedback and suggestions for what needs to be done from a business perspective?

Business-IT alignment isn’t a 50-50 split. To achieve and maintain alignment, both IT and the business have to give 100 percent to make alignment work. But before they can both commit 100%, one team has to be the one to step up and put all the effort in first. I believe that team is the IT organization.  IT has to start giving 100% toward business-IT alignment,  even before the business commits to alignment. It’s work to get into alignment and the onus will fall on IT, especially in the beginning – but it’s work that pays off.. 

And remember, business-IT alignment isn’t a one-and-done activity. It’s a continual process that has to be monitored, mapped and measured on a regular basis. 

My challenge to you is to share: how are you staying aligned in your organization? What are your methods for checking and measuring business-IT alignment? Where are the gaps in business-IT alignment that you need to fill?

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ITSM

Don’t Believe These 6 Service Management Myths

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I have said before that service management has gotten a bad reputation. But that bad reputation is somewhat deserved because the service management of the past failed a lot of companies. I’ve heard from many IT professionals that they have tried service management and it just didn’t work or worse, they have current service management initiatives but they’re not sure if it’s working.

Service management has evolved over the years and many of the beliefs out there are just plain wrong. What if I told you that service management is a secret weapon that can solve many of the challenges facing a modern organization – if only more professionals understood the true power of service management?

It’s time to bust some service management myths.

Service management means fitting into a strict framework

This idea of adhering to an inflexible, strict framework is one of the biggest service management misconceptions. Many people view service management as being overly restrictive and that in order for it to work, you have to fit your organization and workstreams into exact, inflexible parameters. This couldn’t be further from the truth. Good service management is first understanding how the organization wants to derive value and outcomes from its use of technology, then applying the right methodologies to enable the realization of that value and outcomes.

This means that you should first identify your organization’s specific challenges and goals, then adopt and adapt approaches that best leverage people, capabilities, and technology in such a way that will address those challenges. You can drop in different aspects of service management best practices without forcing your team to adopt every single best practice. Good service management is customized to meet the needs of the organization, not the other way around.

Implementing service management requires a new tool

Another common myth of service management is that it’s all about the tool. Often, when I ask a prospect about their service management environment, they’ll start talking about the tools they are using, and not the business challenge they’re trying to address. This tool-first mentality around service management is problematic – it means many organizations go straight to investing in a tool before understanding what they are trying to achieve with service management. And because tools are never “magic bullets”, implementations of tools without understanding the why behind adoption of service management rarely delivers the outcomes that the organization needs.

Good service management isn’t an out-of-the-box solution. You can’t just fire up a new tool and expect everything to magically start working correctly. Instead, you need to start with the groundwork of mapping where you are currently. Map value streams, get clear on who is responsible for what and identify where you’re experiencing gaps in service. You need to get a clear picture of how your organization is currently delivering services before you can even start to think about a tool.

If you skip this step and go straight to investing in a tool, you’ll end up with an expensive tool that still doesn’t solve your problems. Or you’ll have a tool that is fully featured but your team can’t even use half of the features.

The bottom line is, if you want to properly implement service management, don’t start the conversation by discussing tools.

SM is only for large enterprises

To some, service management is a bureaucratic mess of processes that is only necessary in a company of thousands of people. But small and mid-sized companies need service management just as much as the bigger guys.

Good service management means:

  • Reliable, consistent, and relatable services
  • A measurable contribution to business value
  • Efficient, data-driven, defined, and documented processes

If you’ll notice, there’s nothing that says that good service management requires a big team. Service management is simply about delivering great service as efficiently and effectively as possible. This is so important in small and mid-sized companies! You’re getting just as much accomplished with smaller teams so everyone needs to work smart and find the workflows that will keep the team operating as efficiently as possible!

There’s no “minimum employee count” for organizations wanting to implement service management. It can make a positive difference in any size organization.

Service management is just about the Service Desk

Many people think service management is just something that the service desk does. Sure, the service desk is important and it will benefit from service management initiatives. But the goal of the service desk is to deliver a smooth experience for users. It doesn’t represent a holistic view of how value and services flow through the organization. And the service desk by itself cannot deliver good service management; rather, it relies on being integrated with all other parts of the organization to deliver good service management.

Service management is about providing and managing the right combination of people, processes and technology to enable a business to meet its objectives and deliver measurable value. The service desk is part of this but it’s just one piece of the overall puzzle. True service management extends far beyond the service desk.

Service management is just ITIL

I’ve noticed many people use “service management” and ITIL®1 interchangeably which contributes to much of the confusion around service management.

Service management is about the holistic view of a business and its IT capabilities. It can act like an operating model for the business of IT. It’s an overarching view of how IT operates within the context of the business and how IT helps the overall business achieve its goals.

On the other hand, ITIL is a collection of guidance and advice for implementing service management practices. Using a sports analogy, service management is the playbook for the season while ITIL may be a specific play executed on gameday.

Service management is only about IT

Finally, we have one of the most pervasive myths about service management: that it’s only about IT. Of course, for a long time it was known as “IT Service Management”, so it’s no wonder that this is a belief.

For service management to be truly effective, it must reflect and support entire organizational value streams, not just the IT portions. Technology is no longer department-specific. Technology connects entire value streams in nearly all organizations. If you don’t have enterprise-wide workflows that support value all the way to the customer, you likely have a bunch of disjointed pieces that result in a poor customer experience.

This idea of service management being used across the business is more commonly referred to as “Enterprise Service Management” and it’s becoming more prevalent. Limiting service management practices and views to only IT is severely limiting the organization’s ability to grow, scale, and meet the ever-evolving expectations of their customers.

Service Management: A Secret Weapon

Service management is often viewed as being old-school, restrictive, and too basic. However, if you look at service management with fresh eyes and recognize the difference between quality service management versus the myths of service management, you may end up seeing that it is the solution you’ve been trying to find all along.

Interested in learning how service management can improve your organization? Has your organization fallen victim to one or more of these service management myths? Let’s talk – book a free 30-minute consultation here.

*ITIL is a registered trademark of AXELOS Limited.
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Digital Transformation, ESM, Leadership

Are You Wasting Last Year’s Success?

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2020 was a historic year for CIOs. Before last year, there had never been a point when nearly every CIO had to completely restructure how their organization did business in just a matter of days — or even a few hours. But that’s what happened thanks to COVID-19.

Seemingly overnight, CIOs turned their organizations into remote companies. Some CIOs were able to accelerate their organization’s digital transformation efforts by years.

It was a tremendous effort, but many CIOs were up to the task – and it resulted in positive changes. According to the 2020 Harvey Nash/KPMG CIO Survey, 61% of 4,200 IT leaders reported that the pandemic has permanently increased the influence of technology within the organization.

However, the job of a CIO isn’t over after this win. No one should be sitting back and relaxing because of this success. Now, I’m not saying that any CIOs are simply sitting pretty, just basking in the success of last spring. But it is easy to slip back into a world of managing the daily fires within IT and lose sight of the larger business.

The organization is going to expect more now from the CIO than ever before. Now that the rest of the organization knows the difference a good CIO can make, they are going to want one that is innovative, proactive, and continuing to work for the bigger picture of business success.

Don’t get lost in the day-to-day management of IT and let the successes of 2020 go to waste.

Are you wasting last year’s success?

Here are some things to check to determine if you’re wasting last year’s success:

You haven’t reviewed what you implemented in 2020 to check for gaps.

This is not to take away the accomplishments of IT. The swift change to remote work was an incredible undertaking and if you knocked it out of the park, then you should feel proud of that success. However, that transition was likely rushed and lots of organizations implemented band-aid solutions. No one had any idea that we would still be dealing with the fallout of COVID-19 almost a year after the initial shutdown. It’s entirely possible the solution you implemented was never meant to be a long-term solution. Now’s the time to review those solutions and determine if they’re meeting the needs of your company today. You should also ensure that these solutions match the current business strategy. Did your organization pivot how they deliver value to the customer? Is remote work becoming a permanent part of your organization? How has your company shifted since the original shutdown last March?

You may find that parts of your remote work solutions simply aren’t meeting the needs of your organization anymore. You may need to revisit technology investments or redesign workflows to better fit the current goals and reality of your organization.

You’re ignoring foundational issues in workflows and service delivery.

Remote work is not easy, especially since many team members are working from home with their families and children. Have you addressed the workflows inside and outside of IT since the beginning of the pandemic? And what about service delivery? Have you surveyed colleagues to ensure their technology needs are being met? Workflows naturally shift over time, and with so much upheaval, there is no doubt that work has shifted and that value might not be reaching the end-user. Get an up-to-date view of your workflows to make sure they’re still delivering.

You’re not involved with the customer experience.

If IT has not been brought into the customer experience yet, your organization is already falling behind. 2020 completely changed how products and services are delivered and used by customers and technology played a huge role in that change. One of the many lessons that 2020 taught us was that CIOs and IT have to play a role in creating and managing the customer experience. So if customer experience hasn’t made its way to your “to do” list, it’s time to prioritize that.

You’re not involved in the employee experience.

Much like the customer experience, the employee experience quickly evolved in 2020. IT has always played a chief role in employee experience, but it’s more vital now. Many organizations are working remotely or operating in a hybrid remote/traditional office model. As I mentioned earlier, employees are under a lot of pressure as many are juggling working from home with their personal responsibilities, like managing virtual schooling or sharing home office spaces with their partners and roommates. CIOs and HR must work together to monitor how employees are operating and if they are receiving everything they need to do their jobs now.

You’re not actively engaging with the rest of the organization.

A true leader is not someone who hides out in their office or only deals with their team. For CIOs to maintain the status they achieved during the early days of the pandemic, they must actively engage with every department in the organization. IT is unique in that it is a cross-departmental organization. IT works with every other department within the organization to help them achieve their goals. CIOs must become more of a presence everywhere — and yes, even remotely. If you haven’t met with other department leaders and gotten up to date on their goals and challenges for 2021, it’s time to book some meetings on the calendar.

How to Capitalize on Last Year’s Success

If any of the above scenarios sound familiar to you, it’s ok! The CIO role is evolving and that takes some level of adjustment. But you want to act now if you want to capitalize on last year’s success. Here are some small steps you can take to get started.

Leverage what worked and previous successes.

Continual improvement is even more important right now. Most organizations are in the midst of change and to keep that change positive, you want to leverage the things that worked for you in 2020. Review your wins from 2020 and see how you can either enhance those wins with better service delivery, tightened workflows, or additional technology. Small wins like this can add up.

Look at where there are gaps in service.

As I already mentioned, some solutions implemented last spring were not meant to be long-term – and that’s okay. But now is the time to address it. Instead of thinking of these changes as huge overhauls or that you’re starting from scratch, they can simply be enhancements in your workflow or service delivery. The good news is that you did so much of the heavy lifting last spring when you originally made the switch to remote work.

Communicate and engage with other business leaders.

You earned their respect in 2020. Now it’s time to earn their trust. Other leaders in the business will be more open and inviting to you if you demonstrate that your goal is to help them achieve their goals. No other leader wants to feel like they have to be forced into IT’s workflows or that IT is trying to control their access to tools and technology. You have to prove that IT has moved past being the “Department of No” by being a collaborative partner who works towards the same goals. Start building these relationships one by one and you will create support for any future IT initiative.

I don’t want to diminish the success that IT leaders achieved in 2020. Like I said at the start of this article, 2020 was a banner year. Every CIO had to step up to the plate. But it’s important to check that you’re still taking steps to optimize services and leverage all your success from last year. My hope is that 2020 was just the beginning and that every CIO can keep innovating and playing a vital role in business decisions.

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ESM

ESM is the Business Strategy Every CIO Needs

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As organizations continue to work through a pandemic, adapt to an ever-increasing digital world, and adjust to new customer and employee expectations, CIOs must continue to step up to the plate to help navigate these changes from a business perspective.

Perhaps with some organizations, CIOs have not been part of business decisions in the past. The pandemic has shown that organizations can have success when working with IT as a business partner. The reliance on technology and new remote work expectations have paved the path for CIOs into the role of business success partner. Smart CIOs are taking advantage of the opportunity by presenting a strategy that can help the business holistically — not just the technology aspects within the business.

And that strategy is Enterprise Service Management.

What is Enterprise Service Management?

Enterprise service management, also known as ESM, is an organizational capability for holistically delivering business value and outcomes-based upon shared processes, appropriate technology, increased collaboration, and better communication across the organization, not just within IT. ESM, done well, provides a strong foundation for a positive customer experience, positive employee experience, and digital transformation.

Before we dig further into what ESM is, let’s talk about what it is not. ESM is not just about extending ITSM into enterprise. This is not about IT barging in and forcing its workflows on the rest of the organization. It’s not just deploying instances of IT’s service desk tool across the organization. ESM is focused on leveraging the best practices of service management across the organization holistically to co-create business value for the enterprise.

What effective Enterprise Service Management does is get the entire organization on the same page. ESM processes reflect and support the entirety of value streams, not just the IT portions. This enables teams to have clarity around how work and value flows through the organization, and how technology underpins workflow and value. And in the digital age, knowing how work and value flows through an organization provides the ability to quickly shift and react to changes in market spaces and is critical for business success.

Why is ESM a business strategy?

The biggest misconception about service management is that it’s just something that is done only in IT. Service management has always been about delivering real business value and measurable outcomes for organizations. While service management is often associated with IT, many are often surprised to realize that service management is also being practiced in other parts of the organization, such as HR, customer service, and facilities. What effective ESM does is help organizations connect these often-disjointed pockets of service management together, creating a better working environment and improved results. That is especially important in our current world.

The way we do business now has drastically changed. Remote work has become more of the norm. We may have thought 2020 was the year of remote work but actually, it’s just the beginning. The percentage of workers permanently working from home is expected to double in 2021. Many organizations are creating hybrid models for working, allowing for both work from home and remote work opportunities. Forbes reports that by 2025, an estimated 70% of the workforce will be working remotely at least 5 days a month.

This divide in working conditions and how work is being completed will impact the efficiency of the enterprise. There are plenty of benefits to operating with remote and hybrid models, but enterprises also have a higher risk of creating silos. This isn’t a technology issue, it’s a business issue – and it’s one that ESM can solve.

When enterprises commit to and implement ESM, the result is enhanced visibility regarding how value flows through the organization. This makes it easier to identify problem areas, simplify workflows, and clarify expectations and roles. Over the long term, this will increase efficiency across the organization, which means decreased costs and possibly increased revenue.

As we said earlier ESM is not just extending ITSM across the enterprise. This should not be seen as a hostile takeover by IT. The goal is to leverage IT’s service management expertise to improve overall performance across the organization. In order for that to happen, the CIO and IT have to lead the way in establishing ESM as a must-have strategy in the organization.

ESM does incorporate principles of good ITSM, and the CIO and IT should know the best practices and mistakes to avoid when implementing service management. This is an opportunity for IT to demonstrate leadership based on their past experiences working with ITSM. By showing the rest of the organization real-world examples of how service management has improved collaboration and made work more effective and efficient in IT, IT can make the case for how ESM can improve the enterprise’s workflows as well.

The CIO and IT can make their case even stronger because IT are one of the few departments that interacts with every other department every day. IT understands the workflows of other departments because it helped design and implement solutions that support those workflows. Using this knowledge, the CIO can present use cases for ESM using actual workflows and initiatives from across the organization as examples.

The trick here is to understand the overall business goals and how the goals of the individual departments contribute to those overall goals. This especially applies to the CIO. If a CIO can demonstrate how ESM helps link departmental goals to enterprise goals, and makes it easier to accomplish both goals, they can convince other organizational leaders to rally around the idea of ESM.

How to Start Implementing ESM

ESM implementation is the opportunity for CIOs to exhibit their business savvy while delivering a solution that helps the organization work in a more holistic fashion. But there will be those who resist ESM and will need to be convinced. You need three things for a compelling argument.

Make sure the IT house is in order

If IT is not running efficiently or doesn’t have its service management house in order, no one will be convinced that ESM is the right move. Before taking service management out into the enterprise, make sure that IT’s workflows are running like a well-oiled machine and that there are no gaps in services, support, delivery, or communication. The successful use of service management within IT makes for a stronger use case for adopting ESM across the enterprise.

Collaborate with Other Leaders

As we discussed earlier, you have to rally the troops around ESM before it can be properly implemented within your organization. Start by having conversations with other organizational leaders about their 2021 goals, their challenges, and their needs. That’s the best place to start the conversation, because you need other leaders to see the “what’s in it for them”. If you can illustrate how ESM not only helps individual departments meet goals, but also link those achievements to organizational goals, they’ll be more likely to support your case for ESM.

Develop the Business Case

Finally, after you’ve ensured that IT service management practices are in order, and gained support from other department leaders, you’re ready to develop the business case for ESM.

When developing the ESM business case, focus on the five factors of value — improved productivity, competitive differentiation, improved customer satisfaction, decreased cost, and increased revenue. Link the anticipated outcomes from ESM to one or more of these factors, and you increase the chance that you’ll receive full support and funding for ESM.

Looking for more support on implementing ESM initiatives in your enterprise? Book a free consultation! I can help you develop a plan for bringing ESM to your organization.

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