"What is technical due diligence in M\u0026A"

Q: "What is technical due diligence in M\u0026A"

"Technical due diligence is a structured assessment of a company's technology — its codebase, architecture, infrastructure, security, team, and technical debt — conducted before an acquisition, investment, or major partnership. It answers the question: is the technology an asset or a liability, and what will it cost to fix?"

What Is Technical Due Diligence and What Does It Cover

Technical due diligence is a structured evaluation of a company’s technology assets — code, architecture, infrastructure, security posture, engineering team, and technical debt — conducted before an acquisition, investment, or major partnership. It answers one question: is the technology worth what you think it’s worth?

I’ve conducted these assessments for PE firms and acquirers across healthcare, fintech, and enterprise SaaS. The findings almost always change the deal — either the valuation, the integration timeline, or the post-close investment plan.

Why It Exists

Financial due diligence tells you whether the revenue is real. Legal due diligence tells you whether there are liabilities hiding in contracts. Technical due diligence tells you whether the product can actually do what the sales team claims, whether it can scale to support growth, and how much it will cost to maintain and improve.

Without it, you’re buying a black box. I’ve seen acquisitions where the target company’s “proprietary AI platform” turned out to be a series of Excel macros and a single Python script. I’ve seen others where a beautifully marketed SaaS product was running on a single server with no disaster recovery. These aren’t edge cases — they’re common.

What It Actually Covers

A thorough technical due diligence assessment examines six areas:

Architecture and codebase. Is the system well-structured or a tangled mess? Can it support the growth the investment thesis assumes? Is the code maintainable, or is it held together by duct tape and tribal knowledge? This isn’t about whether they used the “right” framework — it’s about whether the system can evolve without a full rewrite.

Infrastructure and operations. Where does it run? How is it deployed? What happens when something breaks at 2 AM? Is there monitoring, alerting, and incident response? Cloud-native companies with CI/CD pipelines are in a fundamentally different position than companies manually deploying to bare-metal servers.

Security and compliance. Are there known vulnerabilities? Is customer data encrypted? Are access controls reasonable? If the target serves regulated industries (healthcare, finance), are they actually compliant or just claiming to be? A compliance gap discovered post-acquisition is the acquirer’s problem.

Technical debt. Every codebase has debt. The question is how much, and what it costs. Is the debt concentrated in the core product or in peripheral systems? Is it the kind of debt you can pay down incrementally, or does it require a costly rewrite? I quantify this in terms of engineering months and dollars so that investors can model it.

Team and capabilities. Who actually built this, and are they staying? Is knowledge concentrated in one or two people? What happens if the lead architect leaves? The technology is only as valuable as the team’s ability to maintain and extend it.

Scalability and performance. Can the system handle 10x the current load? What breaks first? If the investment thesis depends on growth, you need to know whether the technology can support it or whether you’re funding a rebuild.

How to Tell If Someone Is Doing It Poorly

They only look at the code. Code quality matters, but it’s maybe 20% of the picture. Architecture, operations, security, and team dynamics matter more. A well-architected system with mediocre code is fixable. A poorly architected system with clean code is a rewrite.

They don’t quantify the findings. “There’s some technical debt” is not useful to an investor. “There’s approximately $1.2M in deferred infrastructure work that will need to happen within 12 months to support the projected growth” — that’s useful.

They don’t talk to the engineering team. You can’t assess a technology organization by only reading code. You need to interview the engineers, understand the team dynamics, and evaluate whether the people match the ambition.

They treat it as pass/fail. Technical due diligence isn’t about finding a perfect codebase — those don’t exist. It’s about understanding the risks, quantifying the costs, and adjusting the deal terms accordingly.

The Verdict

Technical due diligence is essential for any technology-dependent acquisition or significant investment. The cost of a proper assessment — typically $25K-$75K and two to three weeks — is trivial compared to the cost of discovering post-close that you need an unplanned $3M platform rebuild. If your deal team doesn’t include independent technical assessment, you’re making a bet without seeing all the cards.