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Why IT Consulting Can Be a Vicious Triangle - and 5 Steps to Escape the Pain

Dennis Drogseth

Enterprise Management Associates (EMA) is looking to extend the reach of its consulting practice, and we'll be soliciting your inputs on your priorities. (The URL for participating in our 5-minute survey is at the end of this blog.) But before you do, I'd like to share some of what we've learned from our work in the past.

Lesson 1: Try to avoid the vicious triangle of IT consulting by learning how to stand in the middle

Just about everyone's heard of the Bermuda Triangle. But the IT Consulting Triangle, though arguably far less elusive, is not nearly as well known. This triangle has three clear corners, each of which can generate its own mini hurricanes.

Let's call the first one process consulting or best practices. This can be very valuable, as it can lead to support from best practices ranging from the IT Infrastructure Library (ITIL) to Six Sigma to the IT Balanced Scorecard to fill in the blank.

The second corner of the triangle, which often comes with a premium price, is organizational consulting. This, too, can be of value, especially as IT often needs to reshape itself in the face of shifting business priorities.

And the third corner is systems integration in all its variations — where actual software and other solutions for managing and optimizing IT are selected, configured and deployed. There's no question that this is often essential.

So what's wrong with this picture?

The problem comes when investments are made across all these areas without a common awareness of interdependencies. Organization, process and technology are indeed not separate discussions in IT, but closely interrelated. This is ever more the case given the dynamic options associated with cloud and the pressures for agile and digital transformation. Investing in advice in each of these areas can be essential. But doing so without common oversight of how they interrelate can lead to a lot of expensive wheel-spinning and sometimes destructive decisions that contradict each other.

Lesson 2: Embrace the need for documenting what's true and what's not

My favorite example here, and one I frequently cite, is a case where EMA required 20 stakeholder interviews in support of a strategic, cross-domain technology initiative. At first the CIO tried to dismiss this. "I've sent out an email," he said. But we insisted and did the interviews. Afterwards that same CIO not only accepted the value of what he'd learned, but wanted us to do 20 more.

The lesson here is that what's really going on within anything more than a mom-pop IT organization in terms of priorities, issues, favored toolsets, and processes (or lack of them) is often full of surprises. And it's rarely consistent across stakeholders and roles. Building a strategy to support all of operations, or all of ITSM, or all of IT (how often do development, security and operations see eye to eye?) requires understanding the human dimensions of what's going on, as well as the technology deficits that are keeping you from going forward.

Lesson 3: Find your true maturity level(s)

I put this in the plural because your IT maturity level can vary across organizations within IT, sometimes in surprising ways. For instance, I once interviewed a development team that pushed a configuration management system with associated automation into development using SCRUM, because development, not operations, was too siloed. Finding out which IT teams relevant to your initiative are ready to fly and which aren't is one of the key ingredients to success. And of course, doing this, depends in large part on honoring Lesson 2.

Lesson 4: Only invest in generic technology winners if your IT organization is also generic

Adopting the right technologies, especially when it comes to managing and optimizing IT business services, is rarely a simple, linear scorecard decision. Generic "winners" are only right for generic IT organizations. But then, happily, I've never encountered a generic IT organization or a generic IT professional for that matter.

Try to find what fits your environment, your skill sets, and your unique needs — which isn't always necessarily what just scored the highest on "Dancing with the Stars."

Lesson 5: Invest in a staged approach to a strategic initiative, both in selecting your technologies, and in integrating them into your environment

EMA, and I'm sure we're not alone, has a ladder with clearly defined steps for going forward with major strategic initiatives — one that can apply to everything from operational and even digital transformation, to analytics, to DevOps, to ITSM-centric initiatives in service modeling and dependency mapping. But whatever staged approach you take, be sure to include dialog, process, technology, communication (a lot of communication!) and listening (a lot of that as well) as you go forward and evolve. Strategic change is not likely to make everyone happy. But needless alienation can not only cause individual pain, it can bring down the effectiveness of the entire organization — leaving digital transformation up to Penn & Teller and not up to you.

I'd like to practice what I just preached and learn from you!

To participate in our 5-minute survey just click here.

Image removed.

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Why IT Consulting Can Be a Vicious Triangle - and 5 Steps to Escape the Pain

Dennis Drogseth

Enterprise Management Associates (EMA) is looking to extend the reach of its consulting practice, and we'll be soliciting your inputs on your priorities. (The URL for participating in our 5-minute survey is at the end of this blog.) But before you do, I'd like to share some of what we've learned from our work in the past.

Lesson 1: Try to avoid the vicious triangle of IT consulting by learning how to stand in the middle

Just about everyone's heard of the Bermuda Triangle. But the IT Consulting Triangle, though arguably far less elusive, is not nearly as well known. This triangle has three clear corners, each of which can generate its own mini hurricanes.

Let's call the first one process consulting or best practices. This can be very valuable, as it can lead to support from best practices ranging from the IT Infrastructure Library (ITIL) to Six Sigma to the IT Balanced Scorecard to fill in the blank.

The second corner of the triangle, which often comes with a premium price, is organizational consulting. This, too, can be of value, especially as IT often needs to reshape itself in the face of shifting business priorities.

And the third corner is systems integration in all its variations — where actual software and other solutions for managing and optimizing IT are selected, configured and deployed. There's no question that this is often essential.

So what's wrong with this picture?

The problem comes when investments are made across all these areas without a common awareness of interdependencies. Organization, process and technology are indeed not separate discussions in IT, but closely interrelated. This is ever more the case given the dynamic options associated with cloud and the pressures for agile and digital transformation. Investing in advice in each of these areas can be essential. But doing so without common oversight of how they interrelate can lead to a lot of expensive wheel-spinning and sometimes destructive decisions that contradict each other.

Lesson 2: Embrace the need for documenting what's true and what's not

My favorite example here, and one I frequently cite, is a case where EMA required 20 stakeholder interviews in support of a strategic, cross-domain technology initiative. At first the CIO tried to dismiss this. "I've sent out an email," he said. But we insisted and did the interviews. Afterwards that same CIO not only accepted the value of what he'd learned, but wanted us to do 20 more.

The lesson here is that what's really going on within anything more than a mom-pop IT organization in terms of priorities, issues, favored toolsets, and processes (or lack of them) is often full of surprises. And it's rarely consistent across stakeholders and roles. Building a strategy to support all of operations, or all of ITSM, or all of IT (how often do development, security and operations see eye to eye?) requires understanding the human dimensions of what's going on, as well as the technology deficits that are keeping you from going forward.

Lesson 3: Find your true maturity level(s)

I put this in the plural because your IT maturity level can vary across organizations within IT, sometimes in surprising ways. For instance, I once interviewed a development team that pushed a configuration management system with associated automation into development using SCRUM, because development, not operations, was too siloed. Finding out which IT teams relevant to your initiative are ready to fly and which aren't is one of the key ingredients to success. And of course, doing this, depends in large part on honoring Lesson 2.

Lesson 4: Only invest in generic technology winners if your IT organization is also generic

Adopting the right technologies, especially when it comes to managing and optimizing IT business services, is rarely a simple, linear scorecard decision. Generic "winners" are only right for generic IT organizations. But then, happily, I've never encountered a generic IT organization or a generic IT professional for that matter.

Try to find what fits your environment, your skill sets, and your unique needs — which isn't always necessarily what just scored the highest on "Dancing with the Stars."

Lesson 5: Invest in a staged approach to a strategic initiative, both in selecting your technologies, and in integrating them into your environment

EMA, and I'm sure we're not alone, has a ladder with clearly defined steps for going forward with major strategic initiatives — one that can apply to everything from operational and even digital transformation, to analytics, to DevOps, to ITSM-centric initiatives in service modeling and dependency mapping. But whatever staged approach you take, be sure to include dialog, process, technology, communication (a lot of communication!) and listening (a lot of that as well) as you go forward and evolve. Strategic change is not likely to make everyone happy. But needless alienation can not only cause individual pain, it can bring down the effectiveness of the entire organization — leaving digital transformation up to Penn & Teller and not up to you.

I'd like to practice what I just preached and learn from you!

To participate in our 5-minute survey just click here.

Image removed.

Hot Topics

The Latest

The enterprises that will define the next decade are not the ones that deployed the most technology. They are the ones who understood what their technology was actually doing. That distinction is not a philosophical point. It is the central operational challenge facing every organization that has spent the last five years modernizing at speed ...

AI is becoming the operating system of the enterprise. It acts as an invisible coordination layer that understands intent, connects systems, and executes work across complex SaaS environments. Previously, employees had to click through multiple systems — CRM, ERP, support tools, collaboration platforms — to complete a single task. Now, instead of navigating each application manually, they can simply state what they need to accomplish ...

In 2026, the cost of downtime or an outage is no longer just a technical inconvenience; it's a $600 billion wake up call for global businesses. As our digital ecosystems become  more interconnected, each touchpoint introduces new risks and multiplies the consequences when things go wrong. And the data is clear: aggregate downtime costs  for Global 2,000 companies have surged 50% since 2024, reaching a staggering $600 billion ...

Deloitte found that 74% of enterprises expect to deploy agentic AI solutions in the next 24 months. However, the rush to deployment is outpacing foundational work, though. Only 21% of enterprises have fully formed agent governance models in place. The result? AI agents deployed without guidance or governance begin to function as fragmented islands of complexity ...

Cloud spending is no longer viewed as a passthrough IT expense, but as a strategic financial lever that directly impacts innovation capacity, profitability and enterprise resilience, according to the CFO Cloud Cost Optimization Report from Azul ...

As AI moves from generating responses to performing actions, the need for trust increases exponentially. And as organizations enlist AI agents for increasingly sophisticated business processes, trust is going to be the single most important theme for spurring adoption. What can organizations do to build trustworthy AI agents? ...

I've spent a lot of time in the channel, and one thing I keep coming back to is this: a partner program is only as good as what it looks like in the field. Many programs look great on paper, but when a partner is in front of a customer navigating a complex hybrid environment or trying to make the case for AI-powered observability, the gap between what a vendor promises and what it actually delivers becomes very clear, very fast ...

Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...

For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...