Paul Finlayson Adams
Writing
technical-due-diligencestartupfundraisingengineering-leadership

The 12-Month Technical Due Diligence Prep Plan

15 min read

Most CTOs think about technical due diligence when the VC sends the email. By then, you have two weeks and a list of findings you can't fix in time. The 12-month plan is built on a simple principle: the things investors are looking for aren't hard to achieve. They just need time. Documentation takes three months to become credible. Security hygiene takes six months to become audit-ready. Team maturity can't be faked. If you know a round is coming, start now.

Key Takeaways

  • In 2025, Deloitte's M&A survey found 68% of tech acquisitions face integration delays caused by unvetted technology stacks, which means the assessment, not the integration, is what delays your close.
  • Documentation and security hygiene are time-sensitive: both have timestamps that investors can read, and both look different when written under pressure versus maintained over months.
  • Investors focus most on what they can't fix post-close: key-person dependency, liability-grade technical debt, and security incidents that weren't handled transparently.

Why 12 Months? Why Not Fix It Last Minute?

In 2025, technical due diligence on Series A and B deals under $50M typically runs four to eight weeks, but the findings it surfaces often reflect years of decisions. Some things investors look for simply can't be retroactively fixed. Commit history shows when secrets were introduced. Documentation timestamps show when ADRs were written and whether they were written under pressure. Incident history can't be rewritten. Team capability takes months to demonstrate through track record, not documents.

From practice: The two-week scramble is easy to spot. I've reviewed companies where every ADR was written on the same Tuesday, runbooks had no incident references because they'd never been used in anger, and the architecture diagram described a target state rather than current reality. Investors who've done more than a few deals know what fresh documentation looks like. It doesn't help, it flags.

Learn what investors specifically look for in a technical assessment →

Month 1–3: The Documentation Sprint

The first three months produce three artefacts: architecture decision records, a current-state architecture diagram, and runbooks. The sprint isn't about creating new knowledge, it's about externalising what the team already knows in a form an external reviewer can evaluate in four days of async work.

In 2025, technical due diligence reviews on sub-$50M rounds typically give external reviewers four to eight weeks total, with the first week almost entirely consumed by document review. Every major DD checklist from venture advisors and technical reviewers lists architecture documentation, ADRs, and runbooks as the first artefacts they request.

Four things you need:

  • Architecture decision records (ADRs): One to two paragraphs per major technical decision. Why you chose Postgres over MongoDB. Why you split into services when you did. Why you didn't. Each ADR needs a date and an author. That's the credibility signal.
  • System architecture diagram: Current state, not target state. Updated within the last 90 days. One page is fine; completeness matters more than polish.
  • API documentation: What each service exposes, what it consumes, what fails if it goes down.
  • Runbooks: What to do when the payment service is down, when the data pipeline fails, when a key engineer is unavailable.

Format matters less than the habit of updating. Markdown in-repo works. Confluence works. Notion works. Backstage is excellent if you have the engineering capacity to run it. The signal investors are reading is: does this team think about documentation as a living practice, or did someone write everything last month?

Citation capsule: Technical due diligence mitigates 20–30% valuation risk by surfacing hidden remediation costs, according to research from TechCXO and Qubit Capital. A $10M technical debt burden can materially shift deal economics and a documentation gap is often the first signal that the debt hasn't been quantified, let alone managed.

Month 3–6: The Architecture and Debt Review

Months three to six produce a costed debt register categorised into three buckets: strategic, accidental, and liability debt. The documentation built in the first phase becomes the input.

In 2024, 70% of startups that rushed AI features onto legacy infrastructure reported critical security issues, a figure that illustrates how unreviewed architecture decisions compound over time. The register itself is a spreadsheet or Jira board with each item categorised, risk-rated, and costed.

Three categories matter for investors:

  • Strategic debt: Deliberate trade-offs made consciously. "We chose a monolith to ship faster in year one." Investors are comfortable with this if you can articulate when and why.
  • Accidental debt: Nobody thought about it at the time. This is the most common category. Not necessarily dangerous, but needs to be acknowledged and tracked.
  • Liability debt: Actively risky. Unpatched infrastructure running in production. A critical service with no owner. An API with no authentication. This category is what kills deals.

Investors are comfortable with the first two categories when they see a debt register with remediation timelines and clear ownership. They're not comfortable with liability debt and they're more uncomfortable with liability debt that wasn't disclosed.

From practice: The most common unacknowledged debt category I find in pre-DD assessments isn't the expensive architectural stuff, it's the accidental debt nobody owns. Services that were built by engineers who've since left, with no documentation and no current owner. Not inherently dangerous, but it signals that the team doesn't have a handle on what's running in production.

Month 6–9: Security and Compliance Hygiene

In H1 2025, European data protection authorities issued over €3 billion in GDPR fines, a figure that has made security and compliance the part of technical DD most likely to cause a deal to pause. Security findings are fast to discover and slow to fix. Six months gives you enough time to find and remediate the findings that would otherwise surface in week two of a DD process.

Five things to work through in order:

  1. Secrets audit: Scan git history with gitleaks or truffleHog. If you find credentials, rotate them immediately and document the remediation. The finding isn't fatal. The undisclosed finding is.
  2. Dependency vulnerability scan: Run a full scan, triage all critical CVEs, and address them. Medium-severity findings with a documented triage decision are fine. Unreviewed critical CVEs are not.
  3. Access control review: Who has production access? Is least-privilege applied? Are access rights removed when engineers leave? This is often the easiest thing to fix and the one most likely to be overlooked.
  4. Incident response plan: Written, accessible, and tested at tabletop minimum. Investors aren't expecting SOC 2 at Series A. They're expecting evidence that someone has thought about what happens when something goes wrong.
  5. GDPR compliance (EU companies): Data processing inventory, privacy policy, data retention policy, and signed Data Processing Agreements with vendors. This is a legal requirement, not a DD nice-to-have. Investors will ask for it; enterprise customers are already asking for it.

See how platform engineering practices underpin security hygiene →

Month 9–12: Team and Process Maturity Signals

In 2024, teams with heavy technical debt showed 20% higher engineer turnover and investors know that team stability is one of the things they're paying for when they write a cheque. Investors buy the team's ability to execute, not just the technology. The signals they look for are the ones that can't be produced in a week.

What matters:

  • Onboarding documentation: What's the time to first commit for a new engineer? If the answer is "it depends on who you ask," that's a signal. If you have a documented onboarding path and a recent engineer who can speak to it, that's a strong positive.
  • Performance management framework: Lightweight is fine. A one-page framework that the team actually uses is worth more than an elaborate process that exists in a slide deck.
  • Defined hiring process: If every interview requires the CTO in the room, that's a key-person dependency. Investors will ask whether the team can grow without the founder as a bottleneck.
  • Key-person dependency mitigation: If one engineer owns the most critical system and has no documented handoff, that's a risk investors will flag. The mitigation doesn't need to be complete, it needs to be in progress and documented.
  • Regular team communication: Engineering all-hands, a documented planning cadence, or a team newsletter. Something that shows the team operates as a unit and not just as individuals on tickets.

From practice: The maturity signal that surprises investors most positively, when it's present, is a recent engineer's perspective on onboarding. When a CTO can say "we hired Priya six months ago, she was committing in three days, here's the onboarding doc she used," that's more credible than any process description. When it's absent, investors read it as a team that grows by heroics, not by design.

The Month Before: Final Readiness Check

In 2025, deals under $50M typically allow one to two weeks for document review before technical interviews begin and gaps discovered in that window don't get fixed, they become findings. One month out, stop building and start verifying.

  • Architecture diagram updated within the last 30 days
  • Dependency CVE scan run and triage current
  • Secrets scan clean; any historical findings documented with remediation
  • Debt register current with owner and priority on each item
  • Incident history summarised for the last 12 months (what happened, how it was handled, what changed)
  • Team org chart and coverage plan ready, who owns what, who backs up whom
  • Data room structure prepared with clear folder naming (investors shouldn't have to ask twice for a document)
  • GDPR compliance summary ready (EU companies): data processing inventory, DPA list, privacy policy link

What You Can't Fix in 12 Months (And How to Handle It)

In 2025, Deloitte's M&A research found that hidden technical issues contribute to 20–30% valuation risk, but the same research notes that disclosed issues with a credible remediation plan have a materially smaller impact on deal economics than issues discovered by the reviewer. Some things can't be fixed in any timeline: a five-year legacy codebase built on a framework no longer maintained, deeply embedded architectural decisions made before the product found its market, or a team culture built over years. The strategy here isn't remediation, it's honest representation with a credible roadmap.

Investors can work around known issues if they're documented with a plan, a timeline, and evidence that the team understands the risk. What they can't work around is discovering issues mid-process that the team knew about and didn't disclose. The risk isn't the technical problem. The risk is the credibility problem.

A fractional CTO can help you prepare honestly and thoroughly →

Prep Effort by Phase and CategoryHorizontal grouped bar chart showing relative preparation effort for four categories — documentation, architecture and debt, security, and team and process — across four phases of a 12-month technical due diligence readiness plan. Documentation effort peaks in months 1–3; security peaks in months 6–9; team and process peaks in months 9–12.DocumentationArchitecture / DebtSecurityTeam / ProcessMonth 1–3Month 3–6Month 6–9Month 9–12LowMediumHigh
Author's recommended pacing for the 12-month plan. Ordinal effort bands (Low / Medium / High), not measured hours.
Investor Concern Frequency: Top 8 DD FindingsLollipop chart ranking the top 8 technical due diligence findings by how frequently they are cited as investor concerns. Documentation gaps rank highest, followed by secrets and security issues, key-person dependency, test coverage gaps, architecture debt, GDPR compliance gaps, team turnover risk, and incident history gaps.Documentation gapsSecrets / security issuesKey-person dependencyTest coverage gapsArchitecture debtGDPR compliance gapsTeam turnover riskIncident history gapsMost frequentLess frequent
Ordinal ranking compiled from the author's read of TechCXO and Qubit Capital DD findings categories and Deloitte's 2025 M&A survey. Top three are addressable inside the 12-month plan; most of the bottom five are too.

Frequently Asked Questions

Should I hire a fractional CTO specifically for DD preparation?

It depends on whether your current CTO has been through a DD process before. A fractional CTO who has prepared companies for Series A and B assessments knows exactly what reviewers look for and can identify the gaps a first-time CTO might not see until the DD email arrives. The engagement is usually three to six months of targeted work, not an ongoing retainer.

What goes in a technical data room?

Architecture diagrams, ADRs, the debt register, the incident history summary, dependency and security scan reports, GDPR documentation (for EU companies), team org chart, onboarding documentation, and any third-party assessments or penetration test reports you've commissioned. Folder structure matters: reviewers shouldn't need to ask where things live.

How do I handle a major security incident that happened six months ago?

Document it and disclose it proactively. A one-page incident summary, what happened, what the root cause was, what changed as a result, is far more credible than an investor discovering the incident from a news report or a former employee. Investors evaluate your incident response as much as the incident itself. A well-handled incident with clear remediation is often a positive signal.

Do investors specifically check for GDPR compliance?

European investors always ask. US investors with European LP exposure increasingly ask. Enterprise customers at Series B often ask as a condition of commercial due diligence running in parallel with investment DD. The compliance check isn't about finding violations, it's about evaluating whether the team treats data obligations as a business practice or as a checkbox.

What's the difference between a Series A and Series B technical DD?

Series A DD typically covers architecture, team structure, and basic security hygiene, reviewers are assessing whether the technology can scale. Series B DD goes deeper: scalability evidence, production incident history, engineering velocity metrics, and often a more formal security review. The documentation and process standards expected at Series B are meaningfully higher. Starting the 12-month plan at Series A is the right time; by Series B, it should be standard practice.


The 12-month timeline isn't about passing a test. The documentation, debt tracking, security hygiene, and process maturity it produces are the operational foundations of a company that can scale. The fact that they also hold up in a DD process isn't a coincidence, investors are looking for the same things that make engineering organisations function well over time. Build that, and the DD preparation takes care of itself.