Tag Archives: automation

AI, ITSM

Three AI truths with IT Service Management

Leave a comment
Share twitterlinkedinmail

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.

Share twitterlinkedinmail
ESM

Three reasons why now is the right time for ESM

Leave a comment
Share twitterlinkedinmail

Enterprise service management (ESM) is an organizational capability for holistically delivering business value and outcomes, based upon shared processes, appropriate technologies, increased collaboration, and better communication across the organization.[i]  ESM, done well, enables positive customer and employee experiences, improves business agility, and enables impactful digital transformation.

ESM is nothing new. ESM, as discussed as early as 2005, was characterized as simply extending IT service management (ITSM) practices across the organization. Since then, organizations have realized that ESM needs to be an enterprise capability and competency – not just the domain of a single department.

Effective ESM gets the entire organization on the same page. Good ESM practices reflect and support the entirety of enterprise 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 that workflow and enables value realization. And in the digital age, knowing how work and value flows through an enterprise provides the organization with the ability to quickly shift and react to changes in market spaces – critical for business success.

But herein lies a couple of challenges.

Many organizations are “process poor,” so there’s been little effort in defining and documenting processes, depicting how inputs are transformed into measurable outputs. Secondly, individual departments often operate in isolation or function as if they’re at least somewhat isolated from others within the organization. Organizational workflows and value streams are poorly understood, and if value streams are defined, those value stream definitions are often limited to a single department.

Three reasons why now is the right time for ESM

Why is now the right time for ESM?

  1. Digital age organizations can’t afford to have siloed departments working in isolation. Everyone within the organization must understand not only how their work contributes to success, but also the upstream and downstream impacts of their work. ESM facilitates this shared understanding of how work is done within an organization.
  2. Automation and AI adoption benefit from effective ESM. Generative AI (GenAI) could be used to generate and maintain knowledge across the organization. Capturing, generating, and maintaining knowledge is among the most tedious activities within an organization. Robotic Process Automation (RPA) and Intelligent Automation (IA) could result in improved customer experience and more resilient and efficient operations of customer-facing activities.[ii] Good ESM standardizes workflows that underpin enterprise value streams, enabling the capabilities of these and other emerging technologies.
  3. The world is mobile. Despite recent organizational return-to-work mandates, the work-from-anywhere genie is out of the bottle. And if the workforce is mobile, it only makes sense that the customers of an organization are also mobile. Both employees and customers expect a frictionless experience when interacting with systems and technologies. Again, good ESM underpins enterprise value streams and workflows that enable efficient and effective workflows and experiences for both employees and customers.

The opportunities are here – is your organization ready?

Today’s digitally driven, consumer-focused economy demands that organizations conduct business at digital speeds.  At the same time, organizations must deliver a differentiated customer experience over their competitors. And if that’s not enough, organizations must also ensure that risks have been optimized as both employees and customers interact with technology. Seems impossible, doesn’t it?

But that is what effective ESM can do for an organization. ESM, done well, results in increased operational efficiency, improved collaboration between departments, reduced costs, enhanced customer satisfaction, and the capability to adapt quickly to changing business needs. ESM helps enforce better governance and compliance. And improved service delivery resulting from good ESM enables a differentiated customer experience.

There are two critical success factors for ESM adoption.

First, implementing ESM usually involves significant changes to existing processes, roles, responsibilities, and workflows. Organizational change management becomes crucial to address resistance, communicate the benefits of ESM, and provide proper training and support to employees. Managing this organizational change effectively can pose a significant challenge. But the result will be having enabled and confident employees that are more engaged, more invested, and that have and deliver a better experience.

Effective ESM requires integrating data and systems from various departments and teams. This can be challenging due to disparate systems and legacy technologies within an organization. Ensuring smooth data and system integrations is crucial for effective ESM implementation. Taking an iterative approach provides the opportunity to “learn by doing” and realizing some quick wins, while at the same time, optimizing risk to the organization.

Get started with ESM

The sooner that organizations begin ESM adoption, the sooner the organization will realize the benefits of an integrated and responsive organization. Here are four suggestions for getting started with ESM.

  • Define your digital strategy. How will digital technologies enable the organization to achieve its mission, vision, and goals?
  • Make the business case. Document the reasons why the organization should adopt ESM. Define the specific objectives for ESM, including opportunities, benefits, financials, and risks.
  • Establish a guiding coalition. Having a group of committed people to guide, coordinate, and communicate ESM efforts is a critical early step for success.
  • Map value streams. Understanding how value moves through an organization is critical if an organization is going to elevate itself above siloed work and into true enterprise service management.

The differences between organizations that are internally siloed and those that are truly agile and integrated will only become more pronounced as technologies such as automation and AI become more mainstream in the world of digital organizations. Now is the time for ESM.

If your organization is struggling in its digital evolution, it is time to develop your digital strategy, map value streams, and adopt ESM – and we can help. Contact Tedder Consulting today to find out how.

[i] https://www.dougtedder.com/2021/02/01/esm-business-strategy

[ii] https://omdia.tech.informa.com/om019736/more-vendors-squeeze-into-the-intelligent-automation-space-as- enterprises-embrace-the-technology

Share twitterlinkedinmail
Digital Transformation

You Can’t Automate What You Don’t Understand

Leave a comment
Share twitterlinkedinmail

The case for automating workflows is a strong one. There are plenty of reasons why organizations are looking for the right automation tools, including but not limited to:

  • Frees staff from performing tedious, high-volume, low-value tasks
  • Creates cheaper and faster process execution
  • Improves customer experience
  • Makes it easier to scale

I’m not here to argue the case of automation. When done correctly, it can achieve all those benefits above. And many organizations see success when they automate simple, one-step tasks, like password resets.

However, automation can start to feel like a catch-22, especially for those organizations who realize initial success with their simple automated tasks. That’s because they start the automation initiative by looking for the right tools. Many automation conversations in organizations are about the various tool vendors and weighing the features of each tool. And for simple automations, perhaps that’s not a bad way to make decisions.

But if you want to automate multi-step, complex workflows, the tool is the last thing you need to identify. Let’s explore how to make sure you get these multi-step automations correct.

Principles of Good Automation

1. Automation often means orchestration
The term “automation” is often used to describe things that are actually service orchestration. Automation is the act of automating a single task, like password resets. Orchestration refers to automating multi-step processes to create streamlined, end-to-end (and often inter-departmental) workflows. When determining your automation needs, be clear on whether your goal is only to automate or orchestrate.

2.Don’t automate or orchestrate “just because you can”
Every organization has plenty of workflows and tasks from which to choose to automate. But just because you can automate something doesn’t mean that you should, especially in the first stage of your automation initiatives. You want to focus your initial efforts on the tasks that:

    • Are performed on a high-frequency basis, are tedious for people to perform, but are well-defined and produce predictable results.
    • Consume a disproportionate amount of a team’s time. This may indicate that the process is not well-defined to begin with! In this case, be prepared to first invest time into process design.
    • Drive the most ROI for your business. It doesn’t make sense to spend hours and hours defining and automating a task that is only performed on an infrequent basis.

3. Everyone involved must be ready for orchestration for it to work
Creating multi-step, complex workflows almost always involve more than one team or person. You have to have everyone involved in the entire process involved and that requires a level of transparency from everyone in the organization.

Too many organizations begin automation initiatives despite having little insight into the actual steps involved in a workflow—and therein lies the problem. Those organizations are trying to automate work that they don’t understand.

Gaining Transparency is key

The solution for avoiding automation and orchestration missteps is to start by gaining transparency into the work currently being performed – before you start to automate. Here’s how:

  • Get the whole team involved. Automation and service orchestration has to be a collaborative project, or it will never work. People are often resistant to automation initiatives because they do not understand the objectives of the initiative or were not provided with an opportunity to provide feedback. To help overcome this resistance, illustrate how orchestration and automation will not only improve productivity, quality, and efficiency, but will also improve the employee experience by removing toil from daily work.
  • Identify needed business outcomes. Business outcomes are king to all else. You’re going to burn precious resources spending so much time automating tasks and orchestrating procedures that don’t result in measurable and valuable business outcomes. Before automating, first evaluate how a particular workflow achieves business outcomes
  • Understand end-to-end workflows. Does everyone on the team have a shared understanding of each step in a workflow? Is there a clear understanding of how each team contributes to that workflow? Many organizations don’t have this type of insight and it causes massive breakdowns during the execution of a process. Getting insight into the steps involved enables automation. Otherwise, attempts to automate will only result in frustration.

Once you’ve gained transparency into the current work, now you’re ready to evaluate tools. While this may require more time at the outset, doing this foundational work is key to long term success with automation.

Good automation and good service management go together

To be clear, good automation will not fix bad service management. When you try to use automation to address poor service management issues, all that happens is that you screw up faster – and automatically. And your end-users and customers immediately feel the impact of bad service management.

But when good automation is combined with good service management, watch out. Good service management helps you do more with your resources, helps you get everyone on the same page – both from the technology and the business outcomes perspectives, and helps you deliver that differentiated experience. Good service management ensures that you’re taking a holistic approach to delivering IT products and services. And when you start automation efforts by understanding how value is delivered through IT products and services – you’ll automate the things that both make sense and deliver the most value for both the organization and the user.

Tedder’s Takeaway: Why it matters

Tools alone will not make automation work. Automation is only successful when there is a shared and agreed understanding of the resulting business outcomes, combined with having transparency into how work is being done. Augmenting good service management with good automation delivers the differentiated experience for both the organization and the end-user.

Are your automation efforts stuck? Are you not realizing the benefits of service orchestration? Let Tedder Consulting help! From value stream mapping to process design and improvement, Tedder Consulting can enable automation that is both impactful and delivers a great customer experience. To learn more, schedule a free, 30-minute meeting with Tedder Consulting today!

Share twitterlinkedinmail
Leadership

The CIO’s Guide to Enabling a Hybrid Workforce

Leave a comment
Share twitterlinkedinmail

Looking back on 2020, one thing is certain: COVID-19 has permanently changed the way we work. Earlier this year, CIOs and IT departments were responsible for keeping organizations online and running as the world went into lockdown. The CIO role and the IT department finally began to receive the recognition they have long deserved for the critical role they play in organizations.

10 months into the pandemic and with a new year just ahead, leaders are looking at a future unlike anyone could have predicted at the start of 2020. Many organizations are heading back into the office, or will be sometime in 2021. But that return to the office won’t be what it was previously. Global Workplace Analytics is predicting that 25-30% of the workforce will be working from home multiple days a week by the end of 2021.

Remote work is becoming more accepted as “normal”, so this will cause what Forrester is referring to as the “anywhere-plus-office hybrid” model.

This presents a challenge that business leaders, especially the CIO, need to solve in 2021.

In addition to reviewing the remote work solutions that were implemented to ensure they will hold up for the long-term, the CIO needs to create an environment conducive to hybrid work – both in terms of technology and workflows.

Let’s address what a hybrid workforce will look like and what IT needs to do to address it.

The Hybrid Workforce

A hybrid “Work From Home” model is one in which some employees work remotely while others work on site. In this model, teams or departments may be split between working in the office and working remotely. For example, the IT team may be working in the office while the HR department works remotely. Additionally, there may be certain roles within each team that could permanently work remotely, either part-time or full-time.

There are many benefits to a hybrid workforce. First, the hybrid model opens the potential for hiring talent outside of the local area. There is the potential to increase employee productivity because team members can work how and where they are most productive, whether that’s at home or in the office.

However, a hybrid workforce has its cons as well. Communication will require extra effort, employee experience initiatives will need to be designed to meet both the in-office and remote employees’ needs, and enhanced transparency is a must regarding what work is being completed and who is responsible for that work is a requirement.

How to Enable a Hybrid Workforce

While there are so many advantages to hybrid work, there are also risks. Left unchecked, organizations may be introducing already existing bad work habits into a company with an increased reliance on technology for day-to-day collaboration. Leaders have to ensure they have strong, outcome-focused foundations in place in order to succeed with a hybrid workforce.

Here are three areas to pay attention to if you are moving toward a hybrid workforce.

Workflows & Automation

Automation is often the first topic that comes to mind when the topic of remote work comes up. However, you can’t successfully automate until you’ve optimized your workflows. No matter what your business is, workflows will have to change to meet this new workforce model. Some organizations may find that entire workflows have changed because their revenue streams changed. Other organizations may be looking for more automation because they experienced layoffs.

It’s essential to review current workflows and map existing value streams with other leaders in the organization. First, just map what currently exists – but then you’ll need to notate where you have team members working remotely, who will be working in-office, and what stages of the value stream require team members to be in person. Be sure to take into account communication (which I will cover in the next step) and mapping what those communication needs will be. This process may sound tedious, but it will help enormously when you start implementing these revised workflows for a hybrid workforce.

Once you’ve mapped your value streams and recorded your workflows, you’ll be able to identify where you have opportunities for automation.

Communication

While this might not seem like an IT initiative, organizational communications includes technology, such as online workspaces like Slack and Microsoft Teams. Mapping communication techniques is just as important as mapping workflows — especially with a hybrid workforce.

The CIO is one of the few leaders in the company that is capable of eliminating silos so they have to be at the forefront of solving the communication challenge. CIO should be sharing the mapped value streams and detailed workflows with the entire organization — not just within IT. Getting buy-in from other departments is crucial for success and it will allow you to have a conversation around the appropriate communication structures in a value stream.

This is where you can turn to technology to help. For example, you can automate reminders or even automate emails and notifications to be sent to the team throughout those workflows. You should also take into consideration that communication needs will include both virtual and in-person options. How can technology make this stream of communication feel seamless? What automations, reminders, tools, and options can you put into place that will get buy-in from the entire company?

EX

EX, otherwise known as employee experience, is another top priority for the hybrid workforce – and it isn’t just the responsibility of HR. Gartner predicts that CIOs will be as equally responsible as HR leaders for organizational culture change in 2021.

Getting employees to embrace a hybrid workforce model means getting them to embrace digital and technological solutions. The CIO must engage with the workforce to understand what tools they enjoy, where there are frustrations in the way employees work, and identifying opportunities to make it easier for a team member to do their job.

Try shifting the focus from productivity (output focus) to engagement (outcome focus). Engagement is about getting the work done. It’s how a team member feels connected to their work and their teams. Highly engaged teams can be a competitive advantage in terms of developing new products, attracting and retaining customers, and growing the business. And studies have shown that engaged employees are more productive.

CIOs must start working with HR leaders immediately ( if they haven’t already) to start surveying their teams and understanding their technology needs for how they engage with the company, their customers, team members, and accomplish their work. One useful exercise would be to develop Employee Journey Maps, which are similar to customer journey maps. These maps should encompass both remote workers, in-office workers, and those using a hybrid model. Look for where there is friction in the journey map with how employees get their work done. It’s an opportunity to identify and implement process improvements, underpinned by technology and automation, to eliminate that friction.

The future of work is bright. A hybrid workforce model can open so many opportunities for organizations to save money, increase productivity, and grow the business. But you have to approach it from the right perspective. Building strong foundations for a hybrid workforce will allow you to innovate faster and grow quicker in the future.

Share twitterlinkedinmail
ESM

Can good ESM lead to better EX?

Leave a comment
Share twitterlinkedinmail

What is employee experience (EX)?

A recent Forbes magazine article described EX as “the sum of all interactions that an employee has with her employer during the duration of her employment relationship. It includes any way the employee “touches” or interacts with the company and vice versa in the course of doing her job. And, importantly, it includes her feelings, emotions and perceptions of those interactions.”

What companies are learning is that EX is a really big deal and is becoming a critical factor in the success of the modern organization.

Why all the fuss?

There are a number of reasons why EX is getting so much attention across businesses today.  First, happy employees make for happy customers.  This Harvard Business Review article discussed the strong statistical link between employee well-being and customer satisfaction.  A study conducted by Glassdoor showed that a happier workforce is clearly associated with an organization’s ability to deliver better customer satisfaction.

It is easier and less expensive to recruit, retain, and grow employees when there is consistently positive EX.  When companies create outstanding experiences for their employees, people want to work for and stay with these companies.[1]

Another Forbes article discussed the correlation between good EX and profitability and value.  For example, the stock prices of companies appearing on Fortune’s 100 Best Companies rose 14% per year from 1998-2005; stock prices only rose 6% for companies not on this list.  A Globoforce-IBM study found that organizations that scored in the 25% on EX saw 3x return on assets and 2x return on sales.

Indicators of good EX

But here’s the thing.  EX cannot be directly measured.  Think about it – how can you measure how someone feels?  Sure, you can conduct surveys or interviews and get a general impression of how employees feel about their employers and work environment, but this approach has some level of subjectivity.

Secondly, many organizations are under a mistaken perception that EX is just something to check off a list.  But EX is not just about employee appreciation lunches or passing out gift cards, nor is it something that is just the responsibility of an HR organization.  Rather, it’s the entire organization that influences and promotes EX.

Good EX is largely the result of an organizational culture that values employee contribution, collaboration, well-being, purpose, and other factors within the workplace.  It truly does come down to how employees feel about their organization, their management, and their job.

Good EX might be indicated by high net promoter scores, high employee retention rates, or smaller time-to-hire measures.  As mentioned above, good EX may even show up on the bottom line in the form of increased profits or market value.  But none of these indicators are scientific measures good EX.

One thing for sure however – just as with a positive organizational culture, people know good EX when they experience it.    Can good enterprise service management help enable that positive employee experience?

What is enterprise service management?

During his recent Cherwell Software CLEAR 2020 keynote address, Sam Gilliland, CEO of Cherwell, discussed how taking an enterprise service management (ESM) approach has helped many organizations weather the service support and delivery challenges caused by the pandemic.  By having an organization’s service providers, such as IT, Facilities, HR, and others utilizing a common platform, those organizations were not only to respond to the operational challenges presented by the pandemic, but they are also able to thrive despite those challenges.

But what is ‘ESM’?  Is it just dropping the “IT” from ITSM and replacing it with an “E”?

ESM is about taking an enterprise, not departmental, approach to managing, enabling, supporting, and delivering an organization’s products and services in a way that co-creates value and delivers measurable business outcomes.

In a nutshell, I believe that good service management can enable a better EX.  Good service management brings transparency and measurability into organizational operations.  Employee can see for themselves how the organization is performing, and how their contributions result in organizational success.

ESM encourages collaboration and teamwork by enabling and supporting holistic workflows.  Each part of any organization must work well for all other parts of the organization in order to achieve success.   Conversely, organizations whose departments work in isolation from others cannot react to or respond as quickly to changes in marketspaces and business as organizations that think and work holistically.

By having these holistic workflows in place, employees can be confident that they are doing the right things right.  Holistic workflows also help employees avoid having to make multiple individual requests with individual departments within the organization just to achieve needed outcomes.

3 things to do to help service management enable better EX

Is your organization’s approach to enterprise service management enabling a better EX?  If not, here are three things you can do:

  • Automate the obvious – not just within IT, but across the organization. Those simple, but repetitive and tedious tasks currently requiring human intervention can be better served by automation.  Automation in turn enables employees to work at their own pace on their own schedule, which is a satisfier when it comes to EX.
  • Identify and map enterprise value streams. Most value streams within an organization cross departmental boundaries.  For example, take onboarding a new employee.  Not only is HR involved, but also IT and Facilities. Where are the handoffs?  What work can be done in parallel?   Mapping and understanding how work and value flows through the organization is critical for enabling positive EX. Are there any gaps or delays in how work and value flows through the organization?  How does technology and process enable those value streams – and are there opportunities to optimize those value streams?
  • Develop employee journey maps. Employee Journey Maps (EJM) are similar to customer journey maps but are focused on the employee’s journey with an organization. Where does an employee encounter friction? Can the use of technology or automating processes eliminate that friction?

While good EX is largely the result of nurturing the desired culture within an organization, ESM can augment that experience through proactive management of work streams, well defined and streamlined processes, and delivering valuable products and services. Yes, good ESM can make for better EX!

[1] https://www.socialchorus.com/blog/future-of-work/the-employee-experience-in-2019/

 

Share twitterlinkedinmail
ITSM

The New Role of the Service Desk Agent

Leave a comment
Share twitterlinkedinmail

What is the future service desk agent? Instead of fearing the future, it’s time to redefine the role.

AI is disrupting almost every part of IT and the service desk is no exception. In fact, service desk agents may be more impacted by AI than any other part of IT.

This has some service desk agents worried about losing their job to a bot. Some of them may even be resistant to incorporating AI into their organization because of this fear.

IT leaders who want to embrace AI must work with their service desk agents to identify opportunities for AI success. Bots are already here and service desk agents should embrace that because bots are ushering in a renaissance for the service desk. The service desk agent role isn’t being outsourced or replaced because of AI. The service desk agent role is being redefined – and this new role is a reason for excitement.

But, before we talk about this new role, let’s first address a common question.

What is the role of the service desk agent?

The service desk agent is typically the first point of contact for IT consumers who need help. Their role generally involves troubleshooting IT consumer issues and providing basic support while escalating complex or more advanced problems to others within IT. Their role involves executing the processes in place to escalate those problems and managing IT consumer expectations and needs. Providing excellent customer service is a critical part of this role.

That description looks good on paper, but what does a service agent actually do?

Historically, service desk agents are performing menial and tedious tasks (like resetting passwords), answering and routing calls and contacts, and strictly following predefined scripts.

But now, bots using AI and machine learning can do those menial tasks service desk agents have historically done – but they can do it faster. Unlike humans, bots are available 24/7, so they’ll never miss a call. Bots will follow those predefined procedures and can perform tedious tasks, like resetting passwords, faster than a human.

So, of course, some service desk agents are looking at this new technology and thinking they can’t compete, or that they are being replaced. But this is where the new opportunity begins.
Finally, with the help of AI, service desk agents can get out from underneath those time-consuming, yet easy-to-solve issues that dominate their days. They are freed from the monotonous tasks that take up their time but don’t utilize their unique skill sets. AI is not going to replace roles. It’s just replacing how low-level tasks are performed.

So what will the service desk agent do when bots and other AI-related technologies are performing those low-level tasks? Here are three opportunities for the future service desk agent.

AI and Automation Experts

You can’t just plug in an automation tool or “turn on AI” and expect it to work perfectly. AI technologies and automation tools only work if they have the proper setup and are managed correctly.
Service desk agents can become AI and automation experts by configuring and managing those technologies. They can be the architects of knowledge bases and automation procedures. Service desk agents can become the go-to experts in helping the organization identify automation opportunities, as well as what needs to be done to implement that automation. We’re just beginning to see how impactful AI and automation can be for organizations and someone will need to continue to lead the organization into the automation age as more technologies are introduced. The service desk agent is perfect for that role.

Problem Solvers

Not all user issues or requests can be addressed by automation or by a bot. There will always be bigger and more complex issues that need to be addressed. With service desk agents no longer bogged down performing menial tasks, they can tackle those bigger user issues that exist within the business.

IT often becomes so busy with small technical requests that they end up applying too many fixes that are only short-term solutions. With bots and AI-enabled technology dealing with those small requests, service desk agents can use their time to create those long-term solutions. They’ll have the bandwidth to innovate and think creatively to identify their solutions. As an added bonus, this work will contribute to the business in larger and more valuable ways and service desk agents will feel more rewarded and appreciated for their work.

IT Ambassadors

Finally, service desk agents will have more opportunities to collaborate with key users. Service desk agents will be able to invest the needed time to understand the business impact of incidents, educate users regarding technology, and identify ways the IT consumer and IT can work together to create a better overall experience.

Good service desk agents will leverage those outstanding soft skills to communicate with empathy and operate from a place of patience. They become ambassadors for the IT organization. If more IT consumers feel seen, heard, and understood by service desk agents, then users will start to see service desk agents as partners, instead of order-takers. This opens the door for IT to be included in bigger conversations around business objects, goals and strategies.

What Should Service Desk Agents Do Now?

The service desk renaissance is here! IT leaders and service desk agents can help usher it in within the organization by championing AI. Service desk agents should aim to become the experts in this new technology, educating themselves on what is available, and then identifying opportunities for using automation and AI technologies within the organization. Upon becoming knowledgeable about AI and how it can support the business, service desk agents should build the business case for implementing AI into the service desk (just be sure you’re avoiding these 5 signs before you start to do so!).

Disruption due to technology is a good thing. It has been happening since the dawn of time and the best way to protect yourself and your team is to embrace it and learn how to work with it. The sooner that service desk agents and IT teams are able to see that AI use will be an asset and not a threat, the sooner your renaissance will begin.

Share twitterlinkedinmail