The room went quiet. I still remember it clearly.

“What’s the basis for this number?”

The buyer asked, and the seller paused before flipping through pages. Numbers were everywhere on the table. But the one thing needed to make a decision? Nowhere to be found.

That was my first real lesson during an M&A internship in college. The problem wasn’t that information was missing. The problem was that the system itself stopped critical information from reaching the people who needed it.

What I want to say

Three things:

  • M&A failures aren’t usually about someone messing up. They’re about how information flows—or doesn’t
  • This problem compounds through DD, intermediation, and PMI
  • To fix it, we need data beyond polished words—things like body language, hesitation, and tone

DD isn’t “due diligence.” It’s an information game.

In theory, due diligence is about gathering facts to make a rational decision. In practice, both sides play strategy.

Sellers downplay risks. Buyers hide their real post-acquisition plans. Everyone releases information bit by bit, watching how the other side reacts.

The result? Decision-making turns into a guessing game with incomplete data.

What gets lost isn’t just time and money. It’s trust.

Advisors are necessary. But the incentives are tricky.

I’m not saying we don’t need advisors. M&A absolutely requires professional mediation.

The issue is structural. When the people designing information flow can also profit from information gaps, full transparency doesn’t get rewarded naturally. Even without anyone acting in bad faith, the market ends up preserving a certain level of opacity.

Blaming “good people” or “bad people” misses the point. The structure itself reproduces the problem.

PMI fails on people, not spreadsheets

A signed deal looks like the finish line. It’s not. Value creation starts after closing, and that’s where things fall apart.

PMI failures are usually driven by culture, trust, and tacit knowledge:

  • Who’s thinking about leaving?
  • Which informal relationships actually keep the business running?
  • Where are the hidden conflicts behind all those “yes” votes?

You won’t find this in document-heavy DD. And if you don’t see it before integration, costs spiral fast.

What we’re working on

At Tech Knowledge Base, we’re focused on turning invisible communication into analyzable data. The key is unconscious signals.

Words can be rehearsed. But micro-delays, eye movements, hesitation patterns, facial shifts—those are much harder to fake consistently.

If we can quantify these signals, we can:

  • Catch early warning signs that traditional DD misses
  • Model human risk before PMI even starts
  • Move decisions from pure intuition toward something reproducible

Final thought

Information asymmetry isn’t just an M&A thing. It shows up in hiring, sales, and how organizations run day to day.

We’re building tools to turn communication into valuable data—so structural opacity can actually be reduced, not just managed around.