The business-IT alignment problem that only shows up years later
In this article​
Summary
Business-IT alignment rarely fails at the strategic phase. It usually fails in execution, when leadership steps back after a decision is made and assumes IT investments are serving business goals without actually checking. Even if they intend to, they are no metrics or KPIs in place. What makes it more challenging is that this gap is rarely visible in the short term.
By the time it surfaces, the cost of remediation is significant. The fix goes beyond technology alone. It is more related to leadership that knows how to stay close enough to test whether investments are serving the business.
Where business-IT alignment breaks down
Leadership has long operated on a particular assumption: that you don’t need to understand technology deeply to run an organization. As long as you have capable engineers, things will move forward.
I get it, and honestly, they often do, in the short to medium term.
That’s exactly the problem.
This pattern is not limited to technology. Harvard Business Review recently argued that strategic misalignment remains widespread because ownership is often unclear and day-to-day pressures crowd out alignment work. Often, technology decisions are where misalignment becomes expensive.
Here’s the thing, progress in the short term creates the illusion that the organization is on track. But whether those gains support long-term goals is a question many organizations still struggle to answer clearly.
Across my career working with large enterprises, I’ve seen this play out consistently.
A decision gets made somewhere in the organization, it could be anything, let’s say a platform migration, an acquisition, or a consolidation initiative to give a few examples. Leadership approves it, hands it over to the CTO or CIO, and moves on.
Delivery continues, and the decision can look successful for quite a while. The cost tends to appear later, when integration, duplication, or missed flexibility starts to affect the business case
An example: How misalignment shows up in M&A
Let’s look at an example, consider what happens with Mergers and Acquisitions (M&A), when an enterprise acquires another company or assets.
The business rationale is clear: expand market share, add capabilities, grow faster. The board approves the deal. The integration teams get to work on the commercial and operational side. And then, almost universally, one question gets deferred: what do we do with the IT systems?
The practical answer is usually the same. Leave them running in parallel. Integration is complex, expensive, and disruptive. There are more urgent things to focus on. So, both organizations keep their own systems, their own licenses, their own development teams working on what are now functionally duplicate platforms.
This works, in the narrow sense that nothing breaks. But the cost compounds quietly. Duplicate license fees. Overlapping functionality that two separate teams now must maintain. Budget allocated twice to solve the same problems. And no meaningful progress toward the efficiency goals that were part of the original business case.
This is where business-IT misalignment becomes concrete. The deal thesis said efficiency and growth. The technology reality produced duplication, delay, and rising cost.
A recent KPMG survey of technology dealmakers found that underestimation of integration costs was cited by 59% of corporate respondents as a significant driver of the gap between projected and actual deal value. So, the deal looks right on paper but the integration costs, which rarely get the same scrutiny as the financial model, are where the numbers stop adding up.
Years pass. The organization says it wants more efficient IT. But the decisions it has made don’t reflect that goal. The gap between stated objective and actual behavior grows over time, invisibly, until someone finally draws the conclusion in a language that business leaders understand.
Especially that last phrase is worth your attention. In most M&A situations, the necessary information and data exist. It just never makes it to the room where the decisions were being made — at least not in a language everyone understands.
For example, a CTO will understand tracking system overlap, license spend, and architectural debt. A CFO needs to know what that means for delivery capacity, cost to serve, and the timeline to realizing the synergies the deal was built on.
Without a shared way to connect those two views, and time pressure, executives can make decisions with incomplete context.
Don’t get me wrong, the answer here is not to teach executives software engineering or make them read technical metrics. It is to change what gets reported and how. Not “we are running duplicate ERP instances across four business units.” But “our current IT setup means the cost efficiency target in the deal model will take three years longer to reach than projected.”
The underlying facts are identical. However, the decision-making context is completely different.
The solution for successful business-IT alignment
The M&A case was just an example of the pattern I see at enterprise organizations when it comes to IT. It is usually less about technical capabilities and more about how decisions are made and followed through. Leadership makes an IT-related decision, often based on compelling stories from elsewhere, a successful case study, a convincing vendor demo, or a trend that peers seem to be following.
Then they hand it off.
They don’t stay involved in understanding whether the decision is actually working, what the friction points are, or whether the trajectory is pointing toward the right outcome.
And this actually shows up in every technology wave.
For example, Agile a decade ago. Low-code platforms after that. Now AI. The dynamic is pretty similar: a decision made at speed, handed to the organization to execute, with leadership stepping back to wait for results. With Agile, the culture and management behavior that needed to change never did. With low-code, nobody governed what got built, and the sprawl became its own problem. With AI, the investment is flowing, but the majority of organizations haven’t moved beyond pilots.
Organizations tend to shift to the next thing hoping it will solve what the last thing didn’t. Something needs to change, and it’s not as hard or impossible as you may think it is. Actually the answer to this challenge is in its essence so blatantly simple it’s almost ridiculous: Active participation.
Again, don’t get me wrong. I’m not talking about micromanagement of technical choices; I mean genuine engagement with the question of whether IT investments are serving the business goals they were meant to serve, and honest measurement of whether they are. Gartner’s research points in the same direction. While, on average, only 48% of digital initiatives enterprise-wide meet or exceed their business outcome targets, when CIOs and CxO co-own delivery, the success rate shoots up to 71%.
CIOs and business leaders should stay jointly accountable through delivery, not just at the point of approval.
The one question every IT decision needs
For the M&A example, that question would have surfaced the integration cost much earlier. If efficient IT is a stated goal, then running duplicate systems for years is a measurable deviation from it. The gap doesn’t have to be invisible.
But asking the right question once isn’t enough. What makes business-IT alignment durable is having a structure that keeps asking it, consistently, without requiring manual effort every time a decision needs to be made.
That structure has three components. First, a shared measurement framework that both IT and business leaders can use. When IT reports on technical metrics alone, CVSS scores, maintainability ratings, dependency risk, executives disengage because those numbers give them no frame for decisions. The same facts framed as delivery speed, financial exposure, or competitive risk make governance possible as this relates them to strategic planning and decision making.
Second, joint accountability through execution, not just at the point of approval. As the Gartner data shows, the organizations that sustain alignment are those where business and IT leaders stay connected through delivery, not just at the start of a project.
Third, portfolio-level visibility, not just project-level tracking. Most misalignment doesn’t happen inside a single initiative. It accumulates across a portfolio of decisions that each looked reasonable in isolation.
Look, it all boils down to this: 67% of organizations say they discuss mapping IT spend to business outcomes, but only 22% have a formal process to do so in a way the board can understand and act on.
The intent is clearly there. The process is not.
Understanding what business-IT alignment actually requires structurally is a useful starting point. At Software Improvement Group (SIG), we help organizations make this gap visible by translating software portfolio data into clear, business-relevant insight, so leaders can stay in control and move faster—responsibly. We’d be more than happy to help your organization, Get in touch here.
About the author
Ravish Gopal
Ravish is Solutions & Advisory Director at SIG.
He helps boards and senior executives close the gap between technology ambition and governance reality. With two decades of international experience spanning M&A due diligence, AI governance, and enterprise transformation, he specialises in the questions that matter most but get asked too late.