Tag Archives: Good ITSM

Why IT Organizations Stay Broken

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They say that “change is hard”. Organizational change is probably the most difficult kind of change. And for some reason, IT struggles with its own organizational change. Sure, IT knows that organizational change may be needed for business colleagues so that they can fully take advantage of a new IT product or service. But when it comes to organizational change within IT- IT often strikes out. Rather than be a model of good organizational change for the rest of the business, IT will often position itself as a support team, or as a service provider, continually at odds with the rest of the organization.

Time is running out on this old, broken model of IT organizations though. The IT organizations who fail to transform themselves beyond a support organization or a service provider will fail to exist. This sounds harsh, but it is the reality. IT organizations must understand why they are broken and they must commit to making the change if they want to continue to exist in this new normal.

Why do IT organizations stay broken?

The short answer is they’re afraid.

Now, I know that answer probably just lost me a few readers right off the bat. But if you’re still with me, a tip of the hat to you. Why is IT afraid to change? I have broken it down into two groups of IT organizations who don’t change. They’re both afraid for different reasons but fear is the leading factor for both.

The first is the IT organization that is afraid of what they don’t know.

Popping open the hood of IT to see what’s actually happening can be enlightening, but also terrifying. Because you might be able to see how hard the motor is working to keep the car running. Or you’ll find that you’re missing parts, parts have been long broken and you’re lucky that the car runs at all.

If the latter happens, the amount of work has just quadrupled to fix what’s missing or broken. Worse than that, the C-suite now has a picture perfect view of how much IT is underperforming.

This kind of discovery is scary to this type of IT organization. At least in their current reality, they understand it and they know how to explain it, defend it, and even work with it. It feels safer to distract themselves with putting out daily fires and accepting that they’re never going to hit their highest performance goals. But hey, at least they’re not making it harder on themselves by spotlighting their gaps and putting more work on their plates.

The second group of IT organizations who won’t change is the group that’s afraid to start. This group often knows they need to make a change, but the fear of starting down the wrong path or starting with the wrong initiative has them paralyzed. .

This group has probably popped open that hood of IT and they see all the broken parts – but every broken part seems to be the most important one to fix. They don’t know how anything under the hood works together so they don’t know where and how to get started.

And the longer they wait to make a change, the harder it is to justify doing that work required for that change. They continue accepting the status quo because they don’t know what else to do.

The fear of finding out what’s wrong, or working on the wrong thing, is very real for many organizations and the truth is, I understand it. Sometimes sitting in the dark is easier because you won’t have to see the monster.

But we can’t live in fear, especially right now in this current climate.

The business world is changing. Actually, the entire world is changing. When everything is uncertain, the most innovative leaders are the ones who know they can capitalize on this opportunity.

But it requires a level of courage, willingness to take on the responsibility, and committing to doing the work and to dig into the data they already have.

The Data is The Road Out

Both of the groups of organizations I described above lack one thing: data.

They don’t have the data to understand where and how they can make improvements. Or they think they don’t have the data.

Whether they’re too afraid to face it or feel too overwhelmed to dig into it, every IT organization has the data they need to make lasting change in their organization. It exists all around them — within their team, their end-users, their partners, their vendors, their processes and services. They just have to tap into it.

This mess of data may seem overwhelming at first but there is a way to take the next step. The hot topic right now is “experimentation.” Difficult times in business require innovation, and innovations require experimentation. But I’m adding an addendum. Instead of just simply experimenting, you should “Experiment from a position of knowledge.” Use your data. What is your data telling you? Where is it leading you?

Instead of allowing this uncertainty to freeze you in fear, try leveraging this uncertainty to propel you into something bigger, better, and different. Everything is already different in 2020 – so why can’t IT be different in a better way?

I predict we will start to hear IT success stories: the ones that innovated instead of standing still (or even worse, receded), the ones that pivoted rather than just turned in circles, the ones that leaned into the uncertainty and transformed into something better. I’m hopeful that the right leaders are in place in many places and they are already beginning to use data to drive change, learning from mistakes, and leveraging the capabilities they already have in place.

Don’t stay “broken”

My challenge to you reading this is: how will you transform your organization? How are you going to push through whatever fears that are holding you back? There might not be an opportunity quite like this one again. Leaders are made for these moments. Are you going to accept being broken? Or are you going to step up and pop open that car hood?

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Future-Proofing Higher Education With Employee Experience

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Higher education is facing many obstacles. The entire industry has shifted over the last few years and many higher education institutions are having to adjust how they operate to meet those changes. This article will explore how employee experience and good service management can help higher education institutions overcome those obstacles.

The Changes in Higher Education

One of the biggest changes in higher education is the shifting student demographic. Just a few years ago, student populations were made up of 18-22-year-olds, who lived on campus, went to school full-time, and were working toward a 4-year degree. Today, many students are adult learners, part-time students or taking classes completely online. Many individuals are questioning whether a traditional higher education degree is worth the financial burden and are opting out of traditional higher education altogether.

Additionally, students on campus are dealing with different struggles than past students. Many students are forced to balance multiple jobs while in school to make ends meet. This has resulted in students struggling with increased financial pressure and higher education has become plagued with mental health problems.

And on top of all of those changes, higher education is struggling with decreased funding, increased competition, and budget cuts. Higher education institutions must find innovative and cost-effective ways to engage current, prospective, and past students. The best, easiest and smartest way to do that is by engaging their employees.

The Need for Engaged Employees

Perhaps most worrisome among higher education institutions is that they are struggling with employee engagement. Simply stated – many higher education faculty and staff members are not engaged. Gallup performed a detailed study on employee engagement across several industries. After performing 258 million interviews including 75,000 with faculty and staff members, Gallup found that just 34% of faculty and staff within higher education are engaged at work. This engagement score is lower than most of the industries that Gallup measures.

Unengaged employees could be costing institutions at the bottom line. The faculty are often the institution’s frontline for their students. An engaged faculty can provide students with tools they need to overcome the obstacles they’re facing, which will not only help students stay at the institution, but can help create a dedicated and successful alumni network.

Also, engaged employees are more likely to stay at the institution. Studies have shown that focusing on employee engagement can result in better retention rates and cost savings over time. In fact, according to the American Council on Education, Iowa State University estimates an average savings of more than $83,000 per faculty member retained when engagement practices are applied. Employee turnover can be costly – so imagine how much that adds up over time when good faculty members are retained!

The Institution’s Role in Employee Experience

The question is what can the institution do to support employee experience? Mike Bollinger, global AVP of thought leadership and advisory services for Cornerstone OnDemand notes, “Faculty and staff members help create the student experience, and it’s up to the institution to provide their employees with the learning curriculum, professional development opportunities and recognition they deserve to help both higher education employees and their students succeed.”

Higher education institutions can leverage technology and services to create a better employee experience that includes professional development, learning opportunities, and better operational management.

Digital is an obvious choice for most of these experiences. Higher institutions are already successfully implementing digital-first experiences like digital workflows, online onboarding, training programs, and online learning management systems.

But future-proofing higher education with employee experience requires more than creating digital-first experiences. Technology alone won’t guarantee an exceptional employee experience. Good service management is necessary. The service management I’m referring to is not just IT service management. I’m referring to the holistic approach of delivering value through the use of services, based on the use of technology. Some refer to this as Enterprise Service Management. Whether you call it Enterprise Service Management, service management, or IT service management, one thing needs to remain the same: you must focus on how organizations can co-create value and then deliver that value using technology.

What can higher education leaders do to create exceptional employee experiences?

Institutions must acknowledge the silos that exist among their faculty and staff before they can begin to consider the technological needs. Silos are culturally embedded in higher education institutions. There are silos between faculty and staff. There are silos among adjuncts, full-time professors and tenured professors, as well as, silos among departments. Working to create open lines of communication and to empower the entire institution to collaborate to run higher education as a business. It’s important that both faculty and staff adapt their thinking and actions in terms of value and outcomes instead of activities and things.

This is where IT can take the lead within an institution. Higher education CIOs can work with the rest of the institution to understand the overall goals and determine how technology can help the institution meet those goals.

There are two steps a CIO can take to begin this process.

Identify, map, and manage value streams
When a CIO maps value streams across the institution and identifies where technology is used to support those value streams, they can begin to identify and eliminate redundant spending and waste. They can also begin to find process improvements that can support better employee experience.

Establish an experience center
An experience center is a little like an expanded IT service desk. It is a single point of contact for reporting and managing service issues. Successful experience centers have well-defined processes supporting defined value streams. The experience center can benefit both the student and the faculty and staff as it supports the entire engagement lifecycle of both the students and the faculty. It reduces any frustrations or problems using technology so they can be quickly solved.

Higher education is evolving and the evolution isn’t going to slow down any time soon. While there are many questions about the future of higher education, one thing that remains certain is that the time is now to engage employees and strengthen the brand, operations and bottom line of an institution. This approach of addressing and improving the employee experience of faculty and staff on the front line can create a ripple effect that will leave the end-users, the students, feeling satisfied, cared for and supported by their institutions.

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What Should Your Customer Experience Look Like & How Do You Get There?

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Recently, I’ve been sharing about customer expectations and while understanding those expectations is important, you also have to have a plan for how to meet those expectations.

I am referring to the customer experience, of course. The customer experience includes every touchpoint a customer has as they interact with a brand. Customer experience has always been important. But as the world grows increasingly digital, brands are tasked with understanding and mapping the multi-channel experience that customers go through with brands.

And there’s a reason companies spend time, money and effort on mapping and optimizing these experiences. In short: they matter. Forrester found that from 2011 to 2015, revenues for companies that scored near the top of the Forrester CX Index™ outgrew the group of companies that scored poorly by more than 5 to 1.

As brands become focused on the customer experience, they are turning to a new ally, who previously has not been involved in customer experience: the CIO.

The CIO & The Customer Experience

Historically, the CIO has had little to do with the customer experience. The business leaders like sales, marketing and business development would meet to map out the experience and then, they’d ask IT to build what they needed to create that experience. But times have changed.

In a recent KPMG Survey, more than half of the CIOs surveyed reported that enhancing the customer experience is the most important business issue that boards want IT to work on.

The fact is, the CIO needs to be involved with the customer experience these days. CIOs understand the technical limitations of new technologies as well as understand current in-house capabilities. Instead of the business guessing what is possible, IT needs to work with them to create solutions that are achievable.

What A Quality Customer Experience Looks Like?

The question is, of course, what does a quality customer experience look like? If we refer back to the emerging customer expectations that I discussed in this article, a few things become clear.

The first is that customers want a “contextual, intuitive and experiential engagement.” Another way to phrase this is to design a low-effort experience.

What’s a low effort experience? To answer that, let’s first look at a high effort experience.

A customer calls a customer service line. They have the option to wait on hold for an undetermined amount of time or to have the company call them back when it’s their turn. The customer chooses to wait on hold. They wait on hold for 17 minutes when a representative finally gets on the line, asking for the person’s information. The customer then waits another minute while the representative pulls up their information and asks what the problem is. The customer explains their issue. The representative provides a textbook response that doesn’t meet the customer’s needs. The customer asks for another resolution. The representative tells them they have to transfer them to a manager. The customer then waits another few minutes on hold. Once transferred, the manager again asks for the customer’s information and the customer again waits while the manager pulls up their file. The manager tries to provide the same answer the representative does but the customer asks for another resolution. After a few minutes of back and forth, the manager tells them they will try to find another solution and that they’ll email them with a solution within a few days after they have spoken to the appropriate department.

This may sound convoluted but it happens all of the time! I’m sure many of us have encountered similar experiences when dealing with customer service problems. Consider what the customer has to endure during this exchange: multiple wait times, hearing the same information repeated, resolution to be delivered in a different format than the initial exchange. In other words, it’s a high-effort experience for the customers. According to Gartner, 96% of customers who encounter this type of interaction will become disloyal to a company.

The trick to creating low-effort experiences is to lead with the benefits or solutions to customers’ problems over the technology.

For example, if your customers want faster issue resolution, then your organization should turn to real-time text or voice chatbot that is readily accessible for customers at scale.

If customers need more information prior to purchase, consider enhancing your mobile experience or incorporating augmented reality tools so customers can visualize products in their offices or homes.

If your customers want a more personalized experience, focusing on consumer data collection and organization will be your best priority.

There is no one size fits all to delivering exceptional customer experience. It’s about listening to your consumers, paying attention to their needs and then, creating services, incorporating technology and designing processes to fit those needs.

How To Get There?

To point you in the right direction of how to create exceptional customer experiences, I am going to end this article with a question:

How do you think employee experience shapes the customer experience?

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5 Signs You’re Not Ready for AI

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We’re inundated with headlines about the power of artificial intelligence (AI) these days. AI is everywhere and most businesses know they will need to adopt it soon, if they haven’t already. A recent study from Gartner shows that 37% of organizations have implemented AI in some form. That’s a 270% increase in the past four years!

I suspect that there are many CIOs feeling the pressure from their boards or C-suite peers to implement AI-related technologies. But even with the increase in the number of companies implementing AI doesn’t mean that every organization should hop aboard the AI train right now.

AI isn’t something that you can just pop out of the box and have it work effectively. Like most technologies, it requires a little preparation. Trying to implement AI in an organization that isn’t ready is a disaster waiting to happen.

How do you know if your organization isn’t ready for AI? Look for these signs.

 

5 signs you're not ready for AI

Your processes are undocumented or unclear

You can’t just “turn on” AI and expect it to magically – and instantly – solve problems or take on those tedious, repetitive manual tasks in your organization. The algorithms that power AI can only do what they’re told to do. This means that AI needs processes – and not just any processes. Your processes need to be clear, well-defined, and well-documented.

Organizations that are ready for AI have already identified and eliminated any convoluted parts of their processes. They’ve discovered and corrected gaps in process definitions. They’ve addressed process issues that caused human intervention and eliminated any waste or bottlenecks. They’ve already documented and polished their processes so that when they are ready to automate it, that automation can be implemented easily and quickly.

Your data is a mess

AI-related technologies rely on having data – lots and lots of data. And not just any data but accurate, reliable, relevant, and trustworthy data. One of the ways that the use of AI can be effective is that the algorithms that power AI have relevant and accurate data, in the proper context, on which to take action. If your company has taken a blasé approach to data capture and quality, this is a big red flag for AI adoption. Bad data is one of the main reasons that many AI projects fail.

It’s crucial that an organization has a robust approach to data capture, management, and quality before implementing AI. CIOs and IT leaders should investigate what data they already have, why and how the data is collected, and how that data is maintained.

Like any other technology-related initiative, bad data provided to AI only means bad data – and actions – out. Trying to adopt AI using unreliable data will only result in bad outcomes – only those bad outcomes will happen almost immediately.

Your team is resistant

Even though AI is all the rage, there are many IT professionals who are fearful that AI will automate them right out of a job. Implementing AI is an initiative that requires a purposeful approach to organizational change. If one member of the IT organization is resistant, the entire implementation could be at risk.

Leaders must help their teams understand that implementing AI does not indicate loss of jobs, but that some of the tedious, repetitive work done by people are better suited for AI – freeing up people to do the things that people do best – innovate, create, think, and plan. Associates should be provided with training to grow their skillsets for use in an AI-enabled world.

Communication and transparency across all levels are key for successful AI adoption. It’s important that those who will be working with AI are involved in the implementation process as early as possible. Team members will be more likely to engage and support the initiative when they have all the information upfront about how AI will be used.

There’s no business case for AI

The use of AI is trendy and exciting, but as I’ve pointed out already, AI is not a magic bullet.

It requires an investment of time and money. For an organization to realize the value in AI and for it to be implemented and managed correctly, AI implementation must solve problems that result in improved business outcomes. This is the only way AI is going to provide any ROI.

Yes, there are some eye-catching headlines around the use of AI out there. Don’t chase them. Look for the problems and opportunities in your company where AI use would help. Look for cases where the use of AI meets a need of your business or enables the achievement of a valuable business outcome. No, it may not be the most exciting use of AI – but it will be the most valuable.

You’re afraid to experiment

This is a real fear, especially among IT teams. You are too afraid of failing, so afraid of costing the business money and being unable to show any ROI, that you are paralyzed from experimenting with making AI work in your organization.

There are going to be stumbles and pitfalls along the way with AI adoption. They are unavoidable and inevitable, just like with any new or emerging technology. The key is to fail fast and learn so you can innovate, evolve and continue moving forward. You have to experiment to determine the right data infrastructure, the volume, and quality of the data, and getting the right people into the right roles. Adjustments will be necessary. AI will evolve and your business will evolve with it. Bottom line: be prepared to make those mistakes, find the learning opportunities and share those learnings across the rest of the business.

AI is not a passing fad. It’s only going to become more embedded in our world. So while there may be pressure to begin implementing AI right now, don’t make the mistake of getting in a race you’re not prepared for – it’s the fastest way to lose.

It’s not about being one of the first organizations to use AI. It’s about using AI correctly for your organization. Look for these signs to see if you are ready for AI and fix the foundation before you zoom off into an AI future. By starting from a strong foundation, you’ll be assured of success with AI.

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Good AI Will Not Fix Bad ITSM

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If you google “AI ITSM,” you’ll receive almost a million results of various articles, predictions, and guides detailing how AI will transform ITSM.

The promises in every headline are exciting:

  • You can learn how AI can “make great things happen in ITSM”
  • There is a guide to how AI can “make your service desk great”
  • There’s an article on how AI-based ITSM apps deliver friction-less employee experiences

And that’s just a few of the hundreds of thousands of results!

As an ITSM consultant with decades of experience helping organizations implement healthy and effective ITSM practices, all of these articles make me feel confident and excited about the future of this industry.

But at the same time, they also raise deep concerns in me because I see history repeating itself. I’m concerned this initial excitement about the transformative power of AI will have IT organizations rushing to fix every problem they have – this time, it will be with AI.

And that just won’t work. It’s going to cause bigger problems down the line. AI is not a silver bullet. It won’t solve all of your problems and no matter how powerful your AI technology is, it simply won’t fix “bad ITSM”.

In order for AI to deliver the maximum benefits, you may need to clean up your ITSM act first.

What is Bad ITSM?

Before we get into everything AI can do for ITSM, let’s first take a look at bad ITSM. You might be wondering if you are suffering from bad ITSM.

Does any of this sound familiar?

  • Services are not defined. The IT organization has a list of applications, systems, and activities, but there is no discussion of how these things interact to add or enable business value.
  • There is no documentation describing the value of what IT is doing or how that value is measured.
  • Projects are not evaluated according to desired outcomes or opportunities for involvement. Instead projects are evaluated strictly by cost or resource requirements. Instead of doing the right things, IT is trying to do everything.
  • There is no business case for ITSM or a clear understanding of the return on investment on ITSM.
  • Solutions are “frankensteined” together with data from one area, tools from another, and whatever resources can be afforded. Or perhaps even worse, there are multiple systems (which means higher costs) that essentially deliver the same solutions.

Other symptoms of bad ITSM also include siloed departments, frustrated team members, and unexplainably long delivery times.

Many organizations notice bad ITSM, but they struggle to clearly diagnose the problem. They see the problem as an isolated one. But once you take a step back, you will be able to see that every symptom of bad ITSM is actually interrelated. This means that fixing bad ITSM requires a holistic approach.

What Role Will AI Play?

It’s important to note that while AI may not transform ITSM, AI can play an important role in ITSM. There are 3 common cases where AI can benefit ITSM:

  • Amplify IT resources
    • AI will enable IT staff to have more time to innovate, strategize, and focus on larger, more complex problems
  • Eliminate silos
    • The use of AI technologies will promote standardized approaches to processes and workflows.
  • Data drives actions
    • Effective use of AI requires good data and information. AI adoption can encourage IT organizations to develop good habits in capturing the data and information needed to make AI use effective. By capturing good data and information as part of ITSM activities enables the organization to take advantage of the introduction of AI.

Consider these roles if you have “Bad ITSM.” Can AI amplify resources if services are not defined or if the business value of those services is unclear? Will it eliminate silos if solutions are consistently “Frankensteined” together without any guiding process? Can AI take effective and appropriate actions when data and information cannot be trusted?

While AI can be extraordinarily powerful, it needs the right environment to thrive. Organizations with bad ITSM practices don’t have the right environment.

How can you cure “Bad ITSM”?

ITSM is not just about one process or one tool. There needs to be a bigger picture of how ITSM fits into the organization, drives business value and provides services to end users.

You can start to cure bad ITSM by using outside-in thinking. Look at your ITSM efforts from the business perspective. Define how IT contributes to the needs of the customer. Then work inwards defining the services, designing the processes, and implementing the tools needed to meet the needs of those customers.

Then ensure your organization has the skills necessary to exploit and maintain AI are available:

Process design
Do your ITSM processes consistently deliver expected results? Have you clearly articulated processes for frequent tasks? Do you periodically review these processes to ensure they remain relevant?

Value stream mapping
A value stream illustrates a process as part of the larger ecosystem and is made up of all the people, activities, and departments necessary to create and deliver value. Value stream maps establish a holistic look at the process and prevents tunnel vision.

Knowledge and data management
AI can only learn from the data you provide. If your knowledge is not properly captured or your data is not well maintained, AI will struggle.

Once you’ve cleaned up your bad ITSM, you’ll be in a better position to exploit the benefits of AI. You’ll have a solid grasp on the challenges AI can solve and you can predict the desired outcomes it can provide. Then you can make a compelling business case for implementing AI.

Remember AI isn’t a silver bullet. It’s only going to thrive in an environment that has built the right foundation, and that foundation includes good ITSM. So if you need to clean up some bad ITSM, do that work now, so your AI investment will pay off in the future.

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Flipping the ESM Switch: Pressure Off, Ease On

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There’s a buzz around Enterprise Service Management (ESM) these days and with good reason! I see Enterprise Service Management as the future of Service Management. With the ever-increasing business reliance on the use of technology, more organizations will need to adopt Enterprise Service Management.

But what exactly does ESM do for your business and, more importantly, how can you start to implement it without complicating it?

At its core, ESM is applying IT Service Management concepts to the entire enterprise. It makes it easier to provide solutions to colleagues within your organization and to deliver value to customers outside of your organization.

While ESM is not about reinventing the wheel, it’s certainly not about force-fitting every department into established ITSM processes and workflows.

Implementing ESM is about leveraging what you have to make your tools, processes, and teams work better so that you can drive the same business value across the organization. It should flip the switch from pressure to ease.

Let’s look at some areas where ESM will ease the pressure within your organization.

Pressure:
“Other teams will insist on having it their way and using their tools and processes.”

Every department has its own defined set of processes, tools, and workflows. This can create a power struggle where each department is certain that their way is the best option. This can create difficulties during ESM implementation as each department could try to force others into adopting their processes or tools.

Ease:
“We are all working toward a common goal so there is no longer ‘my way’ and ‘your way’ – it’s now ‘our way’. “

The fundamental shift that must occur for ESM to be successful is to let go of the notion of independent goals and objectives. Every department, every team, every individual must be aligned with the overall goals of the organization. No matter your role in the organization: HR, accounting, marketing or IT, everyone is working to serve the customer. Department leaders and the C-suite must coach their teams to stay focused on these goals. If the organization is aligned on shared, common goals, it will be easier to adjust processes and workflows that work best to meet customer demands.

Pressure:
“My department is unappreciated and burnt out.”

Contrary to popular belief, it is not only members of the IT organization who often feel burnt out and unappreciated. In many organizations, every team member can feel as if their work goes unnoticed and unappreciated. When teams are focused on internal goals and not on organizational goals, teams fall into working in their own silo. One of the results of this silo mentality is that no one is clear on who is accomplishing what within the organization, which makes it difficult to understand how everyone contributes to organizational goals.

Ease:
“ESM results in clearly defined end-to-end processes, which means every part of the team will understand who contributes and how.”

Good ESM makes it easier to assign and see responsibility and accountability across each service or product. Not only does this hold everyone accountable for completing their piece of the process, but every team will be able to clearly be recognized for how they contribute. This can be the motivation that many team members need to keep contributing and to respect the other departments also involved in the delivery of services and products.

Pressure:
“Our department does its job and meets our part of the process – it’s other departments that drop the ball.”

Ease:
“Enterprise Service Management provides increased visibility and performance and helps management understand what has been achieved.”

Good ESM processes help provide insight into the value that each business function provides and communicates that value to customers and other business stakeholders. With Enterprise Service Management, no one can drop the ball because everyone knows who is in charge of what aspect of the process. There are clear communication channels and a high degree of visibility and transparency. Leaders must encourage their teams to embrace this as it will identify gaps, provide clear insight into contributions, and eliminates “blame” culture.

If you feel any of these pressures, then it may be time to introduce the ease of Enterprise Service Management. How can you start implementing it in your organization with ease instead of friction?

1. Justify Enterprise Service Management in business terms

ESM doesn’t always sell itself. Just like any change in an organization, the benefits need to be articulated in business terms. Explain the actual business benefits including revenue, competitive advantage or enhanced customer experience. Look at how many hours ESM can save from eliminating inefficiencies and miscommunications and how it can bring even more value to the organization.

2. Don’t treat ESM as ITSM

ESM cannot be an IT project. ESM is not about simply extending ITSM into the enterprise. It’s an organizational change that impacts every member of the team. Remember, ESM is about leveraging what you already have in place — and that includes every process and perhaps tools other departments use, as well. It must feel collaborative and inclusive to everyone in the organization

3. Respect the holdouts

It’s natural for some departments in your organization to fully embrace ESM and for others to be more resistant to this change. Instead of marginalizing the departments who are holding out on ESM, work with them to show how ESM can benefit their team. If ESM is going to be successful, every team needs to be willing to accept and try it. Forcing Enterprise Service Management on a department will only cause problems down the road. By continuing to emphasize the collaborative nature of ESM and the ability for every team member to be heard, you will be able to win over those holdouts.

4. IT- Focus on yourself first

IT can drive ESM, but there is no point extending sub-optimal service management practices outside of IT. If your ITSM processes are not meeting your needs, or if your own team is struggling with certain aspects of ITSM, focus on cleaning up in-house before trying to extend service management into the enterprise. If you are having successes from ITSM efforts, then your argument for ESM will be more impactful and you’ll have an easier time extending it throughout the enterprise.

ESM is not a passing fad. As more customers expect more personalization and self-service, the need for ESM is only going to increase. The best way to maintain a competitive advantage and keep your customers happy is to start implementing ESM in your organization today.

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The AI Playbook – 3 Key ITSM Plays to Make When Implementing AI

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AI is one of the fastest growing tech trends across all industries. 20% percent of business executives said their companies plan to implement AI across their enterprise in 2019, according to research from PricewaterhouseCoopers.

AI is the approach of using technologies like machine learning or bots to automate simple and repetitive tasks. The power of AI is clear. It allows for services to be delivered faster to the end user. It eases the burden of resource-strapped teams by automating simple tasks, allowing those teams to focus on larger or more strategic initiatives. It also keeps organizations competitive as new technology has created new consumer expectations that demand speed and agility.

While AI is making a splash for good reason, it is not a sole solution. Investing in AI won’t fix every issue in an organization. In fact, if implemented in the wrong environment, AI can slow down an organization and cause even more problems.

Before you jump and invest a chunk of your budget into an AI tool, you need to first review your ITSM environment. If you want to win at AI implementation, you need these plays in your playbook.

1. Clean up or create your processes

It’s simple: automation only works if you have a process to automate. If there’s no process, your AI tool has nothing to automate. AI will only master what it’s fed. You need to evaluate your current processes and workflows. Look for gaps where the process is slow due to human intervention, bandwidth issues or approval processes. Identify what is too convoluted, unclear or undocumented, too fluid or constantly shifting. This exercise will give you a clear view of what’s needed in your process and what is prime for automation.

When cleaning up your processes, you’ll want to get your entire team involved. You want buy-in from every member and you need to see the big picture of how each member contributes to a process. Meet with your team to map out your processes. Work with them to understand what each step requires and where automation can play a role.

2. Enable cross-department collaboration

AI will not work well in a siloed organization. Many AI tools facilitate integration with multiple backend systems and work across departments to deliver solutions. If your marketing team has a completely different tool, process and system than the sales team and those two departments are unable to come together to create shared processes and systems that deliver an end result, then AI won’t be able to make it better.

Every department must work together to effectively implement AI. They have to create shared processes, enable communication and clearly understand what is needed from each department to deliver a service, product, or result. Handoffs have to be smooth for automation to be able to step in and handle it.

Where in your organization is there confusion over how departments interact with one another? Are there communication issues that need to be addressed? What are the expectations and outputs of each department? It’s absolutely required that every team be on the same page when it comes to processes, approvals, goals, communications, and expectations.

IT leaders should find buy-in from other leaders to help teams integrate successfully. The goal for every leader should be a successful AI implementation that actually speeds up results. When each leader understands that this is only successful with inter-department collaboration, they will be more willing to encourage their teams to work with IT.

3. Identify and map value streams

Mapping value streams evaluates the tools, people and processes in the lifecycle of a service. Mapping value streams gives you two important things: visualization and metrics. Value stream mapping helps organizations visualize of how value and information flow through an organization. By doing so, organizations can see if any steps can be eliminated, refined, consolidated or most, importantly — automated. These metrics and data will help you be able to pinpoint exactly where AI can work, how it should work and what metrics you should use to measure it.

Mapping value streams will make it clear how AI could drive business value. This makes it easier to prioritize future implementations and integrate more AI solutions within your organization.

There’s one last important note for every IT leader to address.

It’s the elephant in the room, so to speak. Staff often feels threatened by AI so every IT leader must be able to express to their teams how AI can fuel their success. There should be no worry that staff will automate their way out of a job.

Instead, focus on the opportunities this can create. What projects are you unable to accomplish because your team is stuck doing manual, tedious, and mundane tasks? What successes are you held back from due to the limitations of manual work? Successful use of automation does require a shift in organizational culture. To create an atmosphere of acceptance, you need to focus on the potential for new projects, more exciting initiatives and a larger role in contributing to business goals.

Lastly, recognize that AI implementation is not one big project. Start small automating something of use and value. Pay attention to your metrics and adjust as the organization needs. Keeping an open mind and flexible approach to these implementations will be key to keeping them successful.

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Enablement over Control: How To Demystify ESM in Your Organization

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In July 2018, I wrote a blog about why your company may not be excited about ESM. Close to a year later, the popularity of Enterprise Service Management has been increasing across all industries as more vendors expand from IT-only solutions into enterprise solutions.

And yet, many CIOs find themselves surrounded by team members and colleagues who remain hesitant to move forward with ESM. It’s no secret that many organizations can be slow to change. But why would business leaders be hesitant to adopt this change, especially, considering the growing number of documented case studies that demonstrate the tangible benefits of Enterprise Service Management?

I believe the hesitation to move towards Enterprise Service Management comes down to control – or the perception of who has control – with Enterprise Service Management. Some executives fear giving up control, especially when it comes to their team and the way it accomplishes its work. If leaders feel embracing Enterprise Service Management means handing over control of their team, systems, and processes over to IT, then they are going to be resistant.

Additionally, ITSM has long had a reputation for being too rigid and forced in its processes and frameworks. Many leaders in the organization may have come to view ITSM as a barrier to productivity instead of an enabler. Given this perspective, it’s no surprise that some leaders are not excited to embrace ESM in their departments.

CIOs are in the unique position to demystify ESM in their organizations.  CIOs can help lead the change that enables their entire organization to be more efficient and effective and achieve greater employee and customer satisfaction.

How can you demystify ESM within your organization? These tips can help you begin.

  1. ESM is not extending ITSM processes to every other part of the business

This may be the biggest misconception I’ve seen about Enterprise Service Management, both from those inside and outside of IT.

Let me be clear, Enterprise Service Management is not extending ITSM processes and frameworks into the rest of the business. Instead, it’s about using Service Management best practices to co-create processes and systems that work with every department across the enterprise. Simply put, this is not a hostile takeover. It’s a peaceful merger for the greater good of the organization.

To increase support, IT leaders must emphasize the benefits of Enterprise Service Management for each department. Work with other departments to understand the strengths and weaknesses of their current processes and be prepared to address how Enterprise Service Management can work with those strengths and address any gaps that exist. Ask for real-world scenarios the department encounters so you can provide context for where ESM can fit into these scenarios.

Additionally, demonstrate how the impact of ESM on the end user can increase support among departments and especially among the C-suite. Enterprise service management will help put more tools in the user’s hands, which ultimately can lead to faster responsiveness and a more consistent experience for end users. If, for example, a sales or marketing leader can understand how adopting ESM principles will enable their team to provide better services and bring in more sales, they’ll be more willing to adopt those principles.

2. It’s not about a tool

Contrary to popular belief, ITSM isn’t implemented by purchasing and using a tool – neither is ESM. Some leaders may see Enterprise Service Management as a justification for more investment into expensive tools (that don’t always work).

Instead of leading with the tool, lead with the end goal, which should relate back to the external customer.  Follow up with shared processes, increased collaboration and better communication. These are the important pieces of Enterprise Service Management. Tools help improve and speed delivery of shared processes, collaboration, and communication –  but they don’t cause those things.

Other leaders will see the investment into a tool as an investment in their team if they are able to see the end result and how their team is a part of that solution.

3. Frameworks are not inhibitors to productivity

We’re back to that “control” piece again. Many leaders and team members see frameworks as red tape, as a barrier to efficiency.

But, good ITSM practitioners know that when roles and processes are defined, there is better accountability which leads to improved efficiency and effectiveness. There is no room for “I thought someone else was handling it.” There are no gaps in productivity because everyone understands who is doing what, when it is being done, how their work contributes to business success, and what is expected of them.

Frameworks open the door for transparency — and this is actually a good thing for every leader. When a process is transparent, a leader is able to:

  • Claim credit for the work that their team is accomplishing
  • Have a better view of where and how they are contributing
  • Be able to articulate their own team’s value

Every leader knows the pain of not getting credit for their work and having to justify their expenses. Frameworks can decrease that pain.

4. True ESM is designed to fit the enterprise, not the other way around

Finally, the most important factor to iterate to the organization is that Enterprise Service Management is not a rigid, IT-controlled process. It’s something that’s co-created. It’s something that every department leader will have a say in, and it will be designed to address the unique goals, strengths, and weaknesses of each organization. Real Enterprise Service Management is flexible and customizable.

What can you do to get started?

If you know that Enterprise Service Management can improve your organization but you don’t know where to get started, I recommend focusing on two areas.

The first is to make sure your ITSM house is in order. This is the opportunity for IT to be seen as a leader in the organization. If you are able to “walk the talk” of Service Management and demonstrate how well it works, you’ll be better positioned to win over other leaders.

The second is to look for opportunities for quick improvement that involve other departments. Identify other departments that are reliant on processes that can be improved by technology, automation and service management practices. Work with these departments to implement smaller service management initiatives. Wins in this area can make the business case for larger enterprise-wide initiatives.

My prediction is that Enterprise Service Management will only become more popular with more organizations adopting it. Now is the perfect time to prepare your IT organization for this shift and to be a leader in this movement.

Interested in making larger strides towards Enterprise Service Management? VeriSM is an ideal stepping stone from your current ITSM practices into ESM. Learn more about VeriSM in our upcoming training class this June or schedule a call to learn more!

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What IT Organizations Can Learn From the Indy 500

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If you live or work in Indianapolis, then you know that May is all about the Indy 500.

Known as “The Greatest Spectacle in Racing,” the Indy 500 features 33 of the top racecar drivers racing for 200 laps to complete 500 miles at the fastest time.

It’s a fun event for everyone to witness. But for CIOs and IT leaders, it can also be a learning lesson in speed, agility, and teamwork.

How do race cars racing in a loop at speeds over 200 mph relate to IT organizations? While on the surface, it seems as though IT organizations and the Indy 500 have nothing in common. But, there are actually quite a few similarities between winning the Indy 500 and leading a highly efficient IT organization.

For most drivers, winning the Indy 500 will come down to the pit crew. The pit crew is a team of mechanics who work on the racecars during the “pit stops” of a race. Pit crews perform the work of refueling, changing tires, or any mechanical adjustments needed during the race.

The pit crew is a lot like the IT organization of a business. They might not be the face of the race team, but they do the heavy lifting that helps the driver win the race. Much like the IT team who implements and manages the technology that keeps businesses growing, winning customers, and enabling value.

Let’s look at some of the hallmarks of a great pit crew and how that compares to a great IT team.

A Great Pit Crew Will:

1. Work together to accomplish their goals
Everyone has a defined role on a pit team, and there is no room for a single superstar. No matter how fast one person is at completing their job, the driver can’t leave the pit until everyone has done their job. As Derrell Edwards, a jackman for NASCAR’s No. 27 Richard Childress Racing crew once said, “Pit crewing is like a symphony. Everything has to be in sync for it to sound good.”

A great IT organization must also put the goals of the business above any individual needs or preferences. They must abandon any silo mentality they may have and focus on the success of the team – the business – ahead of the success of individuals.

2. Have defined roles and processes
Speed is essential in a great pit crew, however, it’s just as essential for everyone to stay out of everyone else’s way. Imagine the pit crew member who is in charge of changing the tire somehow cutting off the one in charge of refueling. It would be pure chaos. Fantastic pit crews are a little like a ballet. Every member has their own timing and their own movements and they must understand how that timing and movement work around one another to create a masterpiece. They’re expected to perform their roles perfectly without getting in the way of anyone else who is doing their role.

Great IT organizations also have well-defined roles and clear processes. Everyone understands who is doing what, when, and how it contributes to the overall goals of the company. Members of excellent IT organizations also have a clear understanding of how every role works together in a process. As a result, everyone is empowered to complete their part of the process to the best of their ability.

3. Identify bottlenecks and weaknesses
Racing at the Indy 500 level isn’t about driving as fast as you can. It’s about eliminating as many mistakes as possible to shave off as many seconds as possible. Minor mistakes or bottlenecks can ruin races and pit crews are trained to continually identify and eliminate any bottlenecks.

IT organizations also have to be continually identifying areas for improvement and creating solutions that won’t slow down business growth. When IT organizations prioritize identifying and eliminating bottlenecks, no matter how small, they are able to optimize their speed and success in the long run.

4. They play by the rules
In elite racing, every pit stop is recorded and 8 officials review this footage to determine that everything was performed correctly and within race regulations. If the pit crew’s timing is even one second too early, their driver could be penalized. Pit crews are trained to understand the specific regulations that are in place and learn how to excel within those parameters.

Likewise, excellent IT organizations understand they must work inside business policies. To a certain degree, they must play “office politics”, as well as adhere to procedures that exist outside of the IT organization. They must do this in order to garner support from the other parts of the organization as well as the C-suite. If IT doesn’t understand or follow the rules of the business, they could be penalized by being excluded from strategy discussions or business projects.

5. They use data to drive decisions and create processes so they can stay consistent
This last point is something that many casual racing fans don’t understand about pit crews. It’s also an area where many IT organizations struggle.

In the heat of the race, pit crews don’t have the luxury of being able to figure out what actions to take when something goes wrong. In a sport where there are millions of “worst-case” scenarios, they must plan ahead and create processes for everything. Race crews are constantly monitoring everything about their cars, their drivers and race conditions. They have data on everything and they prepare their pit crews accordingly for various scenarios so that if for whatever reason, an unexpected pit stop occurs, the pit crew doesn’t have to stop to think about what needs to be done. They simply follow the protocol that’s already been set.

Smart IT organizations also use data to drive decisions and leverage defined processes. By doing this, these IT organizations are able to address problems quickly and efficiently, with minimum impact to the business.

How can you apply lessons of a great pit crew?

It’s important to note that no matter how fast race cars become or what technological advancements occur in the sport, winning races will still heavily rely on the success of a pit crew.

The same can be said for IT and the business. Technology will advance and more tools and trends will be introduced to the business. But much of the success of an IT organization will remain on these core tenants as exemplified by pit crews: the ability to work as a team, having well-defined roles, continual improvement, and leveraging data-driven, consistent processes.

This is why good ITSM still matters – and will always matter – for your business.

1.Map value streams
Understand who and what drives value within your business. Map how IT contributes to that value. Remember, each member of the pit crew understands how they contribute to winning a race. Your IT team should also feel the same way!

2. Identify services and define the service portfolio
Mapping value streams will allow you to start to identify services that enable the business to meet its goals. Define your services and include the cost of ownership, needed resources, and the business value of what IT accomplishes. This will help you understand the business of the business and how IT contributes so you can play within the defined rules of the organization.

3. Review current processes
Look for waste in your processes, such as bottlenecks or delays. Eliminate or improve any parts of processes that contribute to these delays. Also, review where a lack of defined processes is holding you back. Identify issues where ownership or roles were unclear and address why that situation occurred.

There is no single “race day” for IT teams, but IT has to always be race-ready. Take the steps now to start getting race-ready. Follow the lead of great pit teams and soon, you’ll be seeing the results of that effort as your business zooms ahead of the competition!

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5 Ways Processes Make SMBs More Agile

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“Processes” often sound like a dirty word for small and medium-size businesses (SMBs). When you’re working in a small organization, your team has no choice but to work together to ensure maximum productivity.  Many SMBs worry that processes will actually hurt productivity.

The common concern goes something like this:

  • Having a process will just slow down projects by requiring approvals and meetings 
  • Once a process is in place, the organization will need to pivot or focus in another direction because they must be nimble – and processes will only get in the way of pivoting
  • Defining and implementing a process takes too much time and most people don’t stick to it – so why bother implementing it?

These worries result from badly implemented and poorly designed processes. Good processes won’t cause the above problems. In fact, good processes make your company more agile. 

Here are 5 ways that good processes will improve your organization.

1. Processes increase transparency within organizations

Even in SMBs, there can be silos and lack of communication on goals and initiatives because everyone is so focused on their individual roles. A proper process ensures effective collaboration between everyone. When everyone is clear on process and more importantly, the reasons for a process, they are more likely to support that process from their respective position.

But that’s not all.  This second part is especially important for SMBs. Often, team members understand what everyone else is doing but not necessarily why they are doing it or how it drives business. A process breaks down those communication barriers so that everyone is confident in each role and the projects that are driving the company forward. 

2. Greater accountability 

Usually in SMBs, everyone wears many hats. Your marketing person may also be in charge of sales and web development and your HR person could also be in charge of customer service.

This can be a great thing and it can make your company extremely agile — sometimes.  But when people handle many different responsibilities, it can be difficult to see who is really doing what. 

Generally, when a small group of people are doing many different things and the processes aren’t clear, projects can get dropped or mistakes are made. With so many overlapping responsibilities, it’s easy to point blame on everyone or no one. You may often hear: “I have so much going on that I didn’t realize that project was on my plate” or “I just assumed So-and-So was handling that.”

Processes eliminate this problem because they make everyone’s responsibilities very clear. With a process, no one can say “I didn’t realize that activity was on my plate to do” because they – and everyone else – will know exactly what falls under their roles and responsibilities.

3. No More Throwing Spaghetti at The Wall

A common problem among SMBs is that employees often feel there is no time to actually find long-term solutions to issues.  As a result,  they’re constantly forced to fix things quickly and making it work “for now.”

But, the “for-now” approach actually leads to lost time and less productivity because you are constantly having to go back to fix that same problem over and over again. In short, you’re just throwing spaghetti at the wall just hoping one of these solutions will stick.

Processes create clear paths to reliable and repeatable long-term solutions. When you create a process that efficiently creates a long-term solution, this results in your team having the time to take care of their other projects and responsibilities.

4. Your budget will go farther

SMBs have limited budgets – everyone knows this. Processes help you to do things more efficiently and effectively, with more of a focus and connection to the bottom line.

When you have haphazard projects, you’re “throwing spaghetti at the wall”.  There is no accountability, and it is very easy for your team to be working on things that don’t connect to the bottom line.  

This means your team is working hard – they might even be overworked – but you’re not actually growing your business. 

What then happens is one of two things: your team feels overworked and under-appreciated and their work starts to decline or you hire more people to get more work done, even if it’s for projects that don’t necessarily provide value to the organization. 

Either way, you are paying for a company that might not be delivering as much value as it could.

Developing efficient and effective processes helps ensure every project connects to the bottom line. This way your team won’t be wasting their time or energy, and you won’t be wasting money paying for work that doesn’t actually grow your business!

5. You can be continuously improving

In an SMB, many owners and team members are often just trying to stay afloat and put out fires as they come up. They are finding quick fixes, squeezing by on tight budgets and just trying to stay ahead of the competition. 

It can be hard to see much growth or understand how the business is actually growing. With a process, you can establish a baseline from which to measure improvements. You’ll be able to say “This is where we started and this is where ended up and here’s what went right and what went wrong.”

Defined processes give your business a chance to improve. You’ll have a clearer picture of what decisions you as the business owner need to make.  You will enable your team members to feel empowered about what they are able to accomplish and it provides a greater sense of responsibility and contribution to the company’s success.

The point of this is: the right process can help your organization accomplish more and grow faster. So instead of questioning the value of processes or avoiding them all together, take the time to establish the right processes or improve the ones that you already have. By defining processes, you actually become more agile – you can quickly and confidently identify and implement the operational changes required to quickly respond to changes in the market and keep you ahead of your competition.

Looking for more support?

Tedder Consulting’s new Process Improvement Workshop can help you quickly and effectively improve your processes in your organization! Learn more about it here!

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