M&A Technical Due Diligence: What CTOs Are Actually Supposed to Do

10 min read

TL;DR

  • Technical due diligence is not a checklist exercise β€” it is a risk assessment that should directly influence deal price and terms.
  • The CTO's job is to find the things the target company is not volunteering: hidden tech debt, unowned IP, undocumented dependencies, and key-person risks.
  • Architecture and security reviews matter, but team evaluation often reveals more about actual risk than any codebase inspection.
  • Red flags do not always kill deals β€” but they need to translate into concrete remediation costs before the term sheet closes.
  • The post-acquisition period is where most technical integrations fail. The CTO who did the diligence should own the integration plan.
  • Hiring a fractional CTO for M&A diligence is underused and often the right call when internal capacity or objectivity is limited.

I've been on both sides of M&A. At Namespace Group, I led technical due diligence on acquisitions as the acquiring CTO. At vyzVoice, I was the one being assessed. That dual perspective changes how you approach the work, because you know what it feels like to have your codebase opened up and judged by someone who doesn't have the context you do.

Most M&A technical due diligence processes are broken in a specific way: they produce documents nobody acts on. Someone runs through a checklist, flags a few items as "medium risk," and the deal closes anyway. Three months later, the acquiring company discovers the target's infrastructure is a monolith running on a single server in someone's basement, or that the founding CTO owns all the IP in their personal name, or that the entire platform depends on a library that hasn't been maintained since 2018. None of this is surprising. It was knowable. It just wasn't looked for carefully enough.

The technical due diligence process exists to prevent that. Done properly, it should either surface deal-breaking problems early, inform the valuation with concrete remediation costs, or give the acquiring team enough context to plan a realistic integration. Sometimes all three.

What the Work Actually Looks Like

The textbook version of technical due diligence gives you a tidy list: review the architecture, audit the code, check for open-source license compliance, assess security posture, review vendor contracts. That's not wrong. It's just incomplete, and it misses the part that matters most: judgment.

You are not conducting a compliance audit. You are trying to understand what this technology is actually worth, what it will cost to maintain and integrate, and whether the team that built it can function inside a new organization. That requires more than reading documentation. It requires asking uncomfortable questions, reading between the lines of what you're shown, and knowing what healthy engineering looks like at scale.

When I approach a technology assessment for an acquisition, the first thing I look for is the gap between the official story and the operational reality. Every target company presents their architecture as cleaner than it is. That's not dishonesty β€” it's what founders believe. But belief and reality diverge over years of shipping under pressure. Your job is to find the divergence.

The CTO's Role Before the Process Starts

Before you open a single repo, you need to understand the acquisition thesis. Are you buying the technology? The team? The customer base? The market position? Each of these changes what you look for.

If you're buying the technology, code quality and architecture matter enormously. If you're buying the team, you're really doing a talent assessment with some technical scaffolding around it. If you're buying market position, the tech might be largely irrelevant as long as it doesn't actively explode.

Get this wrong and you'll spend time auditing things that don't affect the deal, while missing the things that do.

Establish access early. You want direct repository access, not curated screenshots. You want to talk to engineers, not just the CTO. You want infrastructure access or at least documented architecture with real numbers β€” actual request volumes, actual error rates, actual on-call incident history. Anything that gets filtered through the target's communication team is already compromised.

What to Actually Look For

Tech debt is normal. Undisclosed tech debt is a valuation problem.

Every company carries technical debt. That's fine. The question is whether leadership knows what they have and can articulate the cost. If the CTO can give you a clear picture of their debt, the team is probably functioning well. If they hand you "we have some legacy components" with no specifics, you're dealing with either denial or a team that hasn't done the internal work to understand their own codebase.

Look at the ratio of time spent on new features versus maintenance and firefighting. If engineers are spending more than 30-40% of their time keeping existing systems alive rather than building, that's a signal the debt is already extracting a real tax.

Architecture tells you the trajectory, not just the current state.

Is this a system that can scale? Can it be modified without cascading risk? Are the components decoupled enough that you could extract or replace parts without rebuilding everything? The answers matter less for where the company is today and more for where the acquiring business needs to take it.

Watch for distributed monoliths: systems that look like microservices architecturally but share a single database, or have so many synchronous service-to-service calls that any one service failing takes down everything. They have the operational complexity of microservices with none of the resilience benefits. They're expensive to fix.

Security posture is non-negotiable in certain sectors.

At EBRAND we work in digital risk protection. Security is not a feature category for us β€” it's the product. So when I look at an acquisition in this space, security hygiene tells me a lot about the engineering culture. Are secrets managed properly or hardcoded in the codebase? Are dependencies scanned for vulnerabilities? Is there any meaningful access control audit log? Have they had a penetration test in the last two years?

In sectors where a breach would be catastrophic β€” fintech, healthcare, identity management, anything touching regulated data β€” security debt needs a concrete remediation budget attached to it before the deal terms are finalized.

IP ownership is a legal question, but the CTO needs to ask it.

Who actually owns the code? Is it assigned to the company, or does it live in founder personal accounts? Are there contributions from contractors or open-source projects that weren't handled cleanly? Has the company been careful about open-source license compliance, or is there GPL code buried in a proprietary product?

The answers to these questions affect the value of what you're buying. An IP mess can be cleaned up, but it takes time and legal work, and both cost money. That cost belongs in the deal model.

Vendor lock-in and key dependencies deserve serious scrutiny.

Look at every critical vendor relationship: cloud provider, payment processor, communications platform, data providers. How portable is the stack? If they're running on a proprietary cloud service that doesn't have a clean migration path, that's vendor lock-in. If their search infrastructure is a managed service with no export option, that's a dependency that constrains your integration options.

Data governance sits in a related category. Where is customer data stored? What jurisdiction? Is GDPR compliance documented and operational, or is it a PDF from 2018 that nobody has revisited? In European acquisitions especially, data residency and processing agreements are not formalities.

The team is usually the most important variable.

Codebases can be rewritten. Systems can be replaced. But if the three engineers who understand how the platform actually works leave in the six months after acquisition, you've lost something that cannot be easily recovered.

Having been on both the acquiring and acquired side, team risk consistently proved harder to quantify than technical debt but more consequential when it materialized. You need to understand who the key people are, what they own, whether they're retention risks, and how they feel about the acquisition. Engineers are perceptive β€” they know more about what's happening than they often let on.

Pay attention to the human dynamics: is there a team that's been working together for years with good internal trust? Or is there high turnover, shallow documentation, and a culture where knowledge is hoarded? The latter doesn't just signal team problems. It signals operational fragility.

Red Flags and What They Actually Mean

Some red flags in technical due diligence are clear-cut: no source control history, no automated tests, production infrastructure with no monitoring, a team where one person is the single point of failure for every critical system. These aren't opinions. They're concrete, quantifiable risks.

Others are more nuanced. An older codebase isn't automatically bad. A monolith isn't automatically bad. The question is always: given where this company is going after acquisition, what will this actually cost?

The most useful framing I've found is to turn every finding into an estimated cost. Not a vague "medium risk" label, but an actual number: this will take three engineers six months to fix, that's a specific remediation budget. A security audit will cost X. A cloud migration will cost Y and take Z time with current team capacity.

When you present red flags as costs rather than categories, they become actionable. The deal team can incorporate them into valuation. The integration team can plan around them. "Medium risk" helps nobody.

The Post-Acquisition Period

Most technical due diligence processes end at the term sheet. That's too early.

The CTO who ran the diligence should own the first hundred days of technical integration. They have the context nobody else has: what was found, what was promised, what was glossed over. Handing integration planning to someone who wasn't part of the diligence process is how you lose the institutional knowledge that the process generated.

The engineering teams on both sides of an acquisition are almost always anxious. Acquisitions mean uncertainty: about roles, about which systems survive, about whether the work they've done matters. The acquiring CTO's job is to be visible, honest, and clear about the plan. Not everything needs to be decided immediately, but the vacuum gets filled with rumors faster than you'd expect.

Treat the acquired team as professionals who built something worth buying, even if it has rough edges. They know their system better than you do. The diligence process should have already identified who the key people are β€” make sure those people have a clear reason to stay.

A Note on Fractional CTO Services for M&A

Not every company going through an acquisition has a technical leader with M&A experience on staff. The internal CTO may be great at running product engineering but has never done a technology assessment at this level. Or the acquiring company is a private equity firm that buys technology businesses but doesn't have an in-house technical leader.

Bringing in a fractional CTO for M&A technical due diligence is an underused option. It's not just about filling a capability gap. An external technical leader brings objectivity that internal people sometimes can't. They're not politically invested in the deal closing. They can say "this is worse than presented" without worrying about the internal relationships.

The fractional CTO due diligence engagement usually looks like: two to four weeks of intensive access, covering architecture, code, team interviews, security posture, IP, and vendor landscape. Output is a technical risk report with costs attached, recommendations for deal terms, and a proposed integration roadmap. After close, they may stay on to oversee the first phase of integration.

The return on investment is real. A few weeks of an experienced technical eye can change the deal structure in ways that pay for themselves many times over.


If you're going through an acquisition and need someone who's done this before, I offer fractional CTO services including M&A technical due diligence. Book a discovery call β†’

#leadership#strategy#fractional-cto

Written by Anouar Adlani, Group CTO at EBRAND and fractional CTO, based in Luxembourg. Read more articles β†’ | Fractional CTO services β†’

Stay in the loop

I write about pragmatic engineering, DNS, cloud infrastructure, and tech leadership. Subscribe via RSS or follow me on LinkedIn to get new articles.

βœ‰ An email newsletter is coming. In the meantime, RSS is the most reliable way to follow along.