Diligence is not just something done to you. Run it well and it becomes leverage — leverage over valuation, over timeline, over the conditions attached to the term sheet. I have been on both sides of technical due diligence in deals ranging from Series B acquisitions to enterprise software carve-outs, and the targets that perform best are never the ones with the cleanest architecture. They're the ones who understood what the exercise was really testing, and prepared for that.
Most founding teams treat technical diligence as an audit to survive. That framing costs them money. The right framing is that diligence is a compressed trust-building exercise under adversarial conditions. How you conduct yourself during it — the depth of your preparation, the honesty of your disclosure, the composure of your leadership under probing — communicates more about your organisation's quality than any architecture diagram will.
Here is how to run it well from the target side.
The overall flow from preparation through to term sheet looks like this:
What Technical Diligence Is Actually Testing
Before you can prepare well, you need to understand what a competent technical diligence team is actually trying to determine. It is not primarily a code review. It is a risk assessment organised around three questions.
First: is the technology a material barrier to value creation? Does the architecture constrain the acquirer's plans — the product roadmap, the integration timeline, the geographic expansion? If the diligence team believes that achieving the projected synergies requires a platform rebuild rather than an extension, that is a fundamental valuation question.
Second: what is the cost of bringing the engineering organisation to the acquirer's standard? Every acquirer has internal standards for security, observability, compliance, and development practices. The gap between your current state and those standards has a cost. That cost will be subtracted from somewhere — either from the headline valuation, from the earnout conditions, or from the post-close budget allocation that the integration team will fight over.
Third: are the disclosed risks the actual risks? This is the question that determines whether the diligence team recommends proceeding at all. A competent technical reviewer is not shocked by finding problems — every engineering organisation has problems. They are shocked by problems that were not disclosed, because that indicates either a leadership team that doesn't know their own organisation, or one that chose not to share what they knew. Either conclusion is damaging.
What gets deals killed vs. what gets them discounted
In my experience, undisclosed risk kills deals. Disclosed risk gets priced. A security vulnerability you surface yourself in a structured disclosure becomes "the target has good internal controls and is transparent with acquirers." The same vulnerability discovered by the diligence team in your production infrastructure becomes "the target has active security exposure and may have withheld material information." The information is identical. The interpretation is entirely different.
Prepare a Technical Data Room — Before You're Asked
The most powerful thing a target can do is eliminate the gap between "what we're asked to provide" and "what we have ready." The default dynamic in diligence is that the acquirer's team requests materials, the target scrambles to find, assemble, or in some cases create them, and the process slows down in a way that signals disorganisation.
A structured technical data room, prepared before the diligence window opens, changes that dynamic entirely. It signals that you operate an engineering organisation with visibility into its own systems — and that you expected scrutiny, because a well-run organisation assumes it will eventually need to demonstrate its quality.
The core components of a technical data room:
| Category | What to Include | What Poor Preparation Looks Like |
|---|---|---|
| Architecture | Current state diagram with service boundaries and data flows, ADRs for major decisions in last 24 months | A Confluence page last updated 18 months ago |
| Security | Pen test report (last 12 months), vuln management process, secrets management approach, incident log | "We haven't done a formal pen test but our engineers review code" |
| Infrastructure | Cloud spend breakdown by environment, infra-as-code coverage, DR procedures and last test date | Spreadsheet of manually-tracked resources |
| Delivery | DORA metrics (deployment frequency, lead time, MTTR, change failure rate), last 12 months | "We move fast but we don't track these formally" |
| Tech debt | Estimated capacity cost, prioritised backlog, remediation roadmap | "We know we have some but haven't quantified it" |
| Dependencies | List of critical third-party dependencies, SLAs, renewal dates, concentration risks | Nothing until asked |
| IP and licensing | Open-source licence audit, IP assignment confirmations, contractor work-for-hire status | Unclear, especially for early contractor-built components |
| Team | Org chart, key-person dependencies, attrition last 24 months, compensation structure for technical staff | An org chart that is three reorgs out of date |
Preparing this before diligence opens has three effects. It shortens the diligence timeline, which is good for both parties and signals operational competence. It lets you control the narrative around each item — you frame the context before the acquirer's team forms their own interpretation. And it surfaces problems in advance, giving you time to either remediate them or prepare a credible response.
Get Your Own Technical Due Diligence Done First
The single highest-leverage action a target can take — and almost none do — is commissioning an independent technical assessment of their own organisation before diligence opens. Not an internal review. An external assessment by someone with experience on the acquirer side of these conversations.
I call this pre-diligence. It consistently produces two categories of outcome. First, it surfaces things you didn't know were problems — the security misconfiguration nobody noticed, the open-source licence incompatibility, the infrastructure dependency that isn't documented anywhere because it was set up by an engineer who left two years ago. Better to find these yourself than have an acquirer's team find them and form their own conclusions without your context.
Second, it gives you a prepared, structured response to predictable questions. A diligence team asking about your disaster recovery posture gets a very different signal from a target that says "here is our DR procedure, here is when we last tested it, here are the RTOs we achieved, and here is what we learned and improved" versus one that says "yes, we have backups, let me find out where they're documented."
The cost of a pre-diligence assessment is typically well under 1% of deal value. The cost of a valuation haircut from undisclosed risk is almost never under 10%.
Run the Technical Sessions Differently
Most targets treat diligence technical sessions as interrogations to endure. The acquirer's team asks questions; the CTO answers with minimum necessary disclosure; both sides leave having revealed as little as possible. This is the wrong approach, and it produces the wrong outcome.
The targets that perform best in technical diligence do three things differently.
They lead with the problems. At the start of the first substantive technical session, the CTO opens with an honest summary of the organisation's state — including what the known weaknesses are, what is being done about them, and what the realistic remediation timeline looks like. This is counterintuitive. It feels like handing ammunition to the other side. In practice, it does the opposite: it establishes the CTO as someone who knows their organisation and is willing to be direct, which is the most important signal the diligence team is trying to read.
They separate architectural debt from operational debt. These are different risk profiles and experienced diligence teams know it. Architectural debt — a monolith that will need to be decomposed for integration, a data model that doesn't accommodate the acquirer's reporting requirements — has a timeline and cost that can be estimated. Operational debt — inconsistent deployment practices, weak monitoring, a security posture below the acquirer's standard — has a risk character: things can go wrong before the remediation is complete. A CTO who can distinguish these clearly, and speak to the remediation plan for each category, has demonstrated the analytical competence the acquirer needs to trust them as a post-close leadership team member.
They have the numbers. Not estimates. Not "we think it's around." Real numbers: deployment frequency over the last four quarters, MTTR for the last six P1 incidents, actual unplanned downtime in the last 12 months, the percentage of infrastructure covered by infrastructure-as-code, the count of open critical and high CVEs in the last vulnerability scan. A CTO who can produce these without searching is demonstrating operational maturity. A CTO who cannot is demonstrating that the organisation is not instrumented — which is itself a risk signal.
The question that exposes poor preparation
"Walk me through what happened during your last significant production incident — from first alert to resolution, and what changed afterward." This question is almost always asked. Targets who answer with specifics — timeline, root cause, the team that responded, the specific control that was added — demonstrate operational maturity. Targets who give a vague answer about "handling it quickly" signal that incidents are not being learned from systematically. That signal propagates through the rest of the diligence assessment.
Managing the Narrative on Tech Debt
Tech debt is the topic where the most value is lost in diligence. Not because the debt is fatal — in most cases it isn't — but because targets mismanage the conversation around it.
The two failure modes are opposite but equally costly. The first is denial: "We keep our codebase clean, we don't have significant debt." A diligence team that has looked at production code and deployment metrics will have already formed a view. Denial in the face of evidence destroys credibility on every other topic. The second is catastrophising: framing every piece of technical debt as a crisis, without prioritisation or a remediation path, which invites the acquirer to apply the maximum haircut.
The high-performing approach: quantify, prioritise, and contextualise. "Our technical debt costs us approximately 25% of engineering capacity per quarter — roughly €X in quarterly labour. The highest-impact items are A, B, and C. Here is the remediation roadmap and why we made the sequencing choices we did." This frames the debt as a managed cost, not an unknown quantity — and it lets the acquirer see that you're running an engineering organisation with financial and operational discipline.
The same logic applies to security findings from a pen test. Present them yourself, with severity ratings, remediation status, and the lessons applied to your security development lifecycle. A target that presents its own pen test findings before being asked is an entirely different risk profile from one where the findings are discovered.
The 90-Day Preparation Window
If you're in a business where an exit, strategic partnership, or fundraise with technical scrutiny is plausible within 18 months, the preparation clock is already running. The things that take the longest to fix are the things most likely to affect valuation — and they take longer than the diligence window to address.
| Area | Typical Fix Timeline | Diligence Impact if Unaddressed |
|---|---|---|
| Security pen test and remediation | 3–6 months for a credible cycle | Significant; acquirers treat untested security posture as unknown risk |
| DORA metrics instrumentation | 2–3 months to get 90 days of meaningful data | Moderate; gaps in delivery data force qualitative assessment |
| Open-source licence audit and clean-up | 4–8 weeks | Moderate to high for software products; GPL contamination can affect IP representations |
| Disaster recovery documentation and test | 4–6 weeks | Significant for regulated industries; critical infrastructure |
| Architecture documentation (ADRs) | Ongoing; minimum 3 months to build meaningful history | Moderate; signals culture, not just current state |
| Key-person risk mitigation | 6–12 months for genuine knowledge distribution | High; single points of failure are a diligence red flag with no quick fix |
The organisations that close deals at full valuation are the ones that started preparing before they were in a process. They did the pen test on their own schedule, not under pressure. They built 12 months of delivery metric history, not 6 weeks. They resolved the licence questions when there was no urgency, which meant they had time to resolve them properly.
What Diligence-Ready Actually Looks Like
"Diligence-ready" is not a state of perfection. It is a state where every known problem is understood, documented, and has a credible response. The acquirer's technical team expects to find issues. What they are evaluating is whether the target's leadership team understands their own organisation at the depth required to have earned the valuation being sought.
The CTO who walks into a technical session with a pre-prepared disclosure document, a data room that answers 80% of predictable questions before they're asked, and the ability to talk in concrete operational numbers is not just making a better impression — they are demonstrating that the engineering organisation is real, not aspirational. That demonstration is worth money.
Diligence done well by the target shortens the timeline, reduces the conditions attached to the term sheet, and creates a post-close relationship that starts from a foundation of genuine trust rather than managed ambiguity. The preparation is not a PR exercise. It is an operational exercise that also happens to optimise the deal outcome.
If you're preparing for a fundraise, acquisition process, or strategic partnership that will involve technical scrutiny — or if you want an independent assessment of where your organisation actually sits before that process begins — let's talk. I run pre-diligence assessments and prepare technical leadership teams for the scrutiny they'll face. Book a 30-minute discovery call and we can scope what's appropriate for your timeline and deal profile.