Pre-Exit Readiness: How to Prepare a Portfolio Company for Buyer Tech Due Diligence in 90 Days

Executive summary In most exits, the buyer's technical due diligence team knows within days what the seller has lived with for years: fragile modules, unpatched vulnerabilities, missing documentation and a handful of people who hold the whole system in their heads. When those findings surface late in the process, they rarely kill the deal, but they almost always cost money through price adjustments, extra indemnities or escrow. A structured 90-day readiness programme reverses that dynamic. It gives the seller an honest baseline, fixes the issues that actually move valuation, documents the ones that cannot be fixed in time and packages the technology story before the buyer writes it. This article outlines what buyers will examine, how to structure the 90 days and which mistakes to avoid.

Why Sellers Lose Value in Buyer Tech Due Diligence

Buyer-side technical due diligence is designed to find reasons to adjust the price. That is not cynicism; it is the job. Every undocumented risk becomes a negotiating chip, and it usually appears at the worst possible moment: during exclusivity, when the seller has limited leverage and little time to respond.

The value leakage typically follows a familiar pattern:

• Late discovery. A critical vulnerability or a copyleft licence in a core module is found three weeks before signing. There is no time to fix it, so the buyer prices it in, often generously.
• Uncertainty discount. When documentation is missing, the buyer cannot verify what works well. Unverifiable strengths are treated as risks.
• Key-person anxiety. If only one or two engineers understand critical parts of the system, the buyer will ask for retention packages, earn-outs or a lower price.
• Inconsistent answers. The CTO says one thing in the management presentation, the data room says another, and an engineer says a third in an interview. Inconsistency erodes trust faster than any single finding.

The underlying problem is information asymmetry in the wrong direction. The buyer's advisers often end up with a clearer picture of the technology than the seller's own board. Pre-exit readiness exists to fix that.

What Buyers Will Actually Examine

Most buyer tech DD engagements, whether led by a private equity fund, a strategic acquirer or their advisers, cover a similar set of areas. Knowing them in advance is half the preparation.

Architecture and scalability. Can the platform support the growth plan in the buyer's investment case, or will it need a costly rebuild?

Code quality and technical debt. How maintainable is the codebase, how much of it is covered by automated tests and where are the hotspots that slow delivery?

Security and compliance. Open vulnerabilities, penetration test results, secrets management, access control, incident response and certifications such as ISO 27001 or SOC 2, as well as GDPR compliance.

Intellectual property and open source. Licence risks in dependencies and a complete chain of title for code written by employees and contractors.

Infrastructure and cost. Cloud architecture, reliability, disaster recovery and whether hosting costs scale sensibly with revenue.

Team and delivery. Key-person dependencies, retention risk, engineering practices and delivery metrics such as deployment frequency and change failure rate.

AI maturity. Increasingly, buyers also ask whether the team uses AI in a governed way and whether the product has a credible AI roadmap.

A seller who has already examined each of these areas with the same rigour as the buyer will rarely be surprised.

The 90-Day Readiness Plan

Ninety days is enough to change the outcome of a buyer's due diligence, provided the time is used in the right order: first understand, then fix, then package.

Days 1–30: Establish an Honest Baseline

The first month is about seeing the company the way a buyer will see it. The most effective tool is a mock technical due diligence, carried out by an independent team using the same methodology a buyer's advisers would use. Internal self-assessments rarely work here, because the people who built the system are the least likely to see its weaknesses.

The baseline should produce:

• an inventory of all systems, repositories, environments and third-party dependencies,
• a findings register covering every area buyers will examine,
• a severity rating for each finding and an estimate of the effort needed to fix it,
• a first view of how findings could affect valuation.

The outcome of this phase is not a report, but a decision list. Every finding is assigned to one of three paths: fix before the sale, document with a remediation plan, or disclose as a known limitation.

Days 31–60: Fix What Moves the Price

The second month focuses on remediation, but only where it pays off. The goal is not a perfect system; it is removing the findings a buyer would use to reduce the price. Typical priorities include:

• Critical and high-severity security vulnerabilities, followed by a fresh penetration test so the data room contains a current, clean report.
• Secrets management and access control, including removing hard-coded credentials and tightening privileged access.
• Open source licence issues and missing IP assignments, which are often cheap to resolve early and expensive to explain late.
• Critical technical debt in high-risk modules, especially where the buyer's growth plan depends on them.
• Automated tests on business-critical paths, which demonstrate that the system can be changed safely.
• Cloud cost quick wins, since inefficient infrastructure spending directly affects the margin profile a buyer is paying for.

Remediation must run alongside the product roadmap, not replace it. Slowing feature delivery in the months before an exit sends its own negative signal. Bringing in external capacity for remediation, for example through product and application engineering support or targeted DevOps, cloud security and managed services, allows the core team to keep shipping.

Days 61–90: Package the Technology Story

The final month turns the work into material a buyer can verify quickly. This is where many sellers underinvest, even though well-organised evidence shortens the buyer's due diligence and reduces the room for speculative findings.

A buyer-ready technology package typically includes:

• A structured technical data room with architecture diagrams, system specifications, the dependency inventory, security reports, policies and certifications.
• A known-issues register that lists remaining limitations together with realistic remediation plans, effort estimates and owners.
• A technical FAQ that answers the questions buyers are most likely to ask, drafted in advance and consistent with the data room.
• A demo environment that works reliably and shows the product at its best without exposing production data.
• A technology section for the management presentation that explains the architecture, roadmap and team in business terms.
• Prepared key people. The CTO and senior engineers should know which topics will come up, what the agreed answers are and where the evidence sits.

Fix, Document or Disclose: Making the Right Call

Not every finding deserves the same treatment. The decision depends on how much the issue matters to a buyer and whether it can realistically be resolved before the process starts.

For larger structural issues, an AI refactoring assessment can quantify the effort and risk of modernisation. A buyer is far more comfortable with a known, costed problem than with an open question.

Common Mistakes That Cost Sellers Money

Starting a major rewrite shortly before the sale. A half-finished migration is harder to value than either the old system or the new one. Large modernisation programmes should either be completed well before the exit or presented as a plan.

Hiding problems. Experienced buyer teams find most material issues. An issue the seller disclosed is a negotiation point; an issue the buyer discovered is a credibility problem.

Polishing the surface. Attractive documentation that does not match the code is quickly exposed. Evidence must reflect reality.

Leaving the CTO to handle it alone. Buyer due diligence is intensive. Without preparation and support, the technical leadership team becomes a bottleneck, and the day-to-day business suffers.

Ignoring delivery metrics. Buyers increasingly ask for data rather than opinions. Being able to show deployment frequency, lead time and change failure rate, ideally tracked over time, makes the engineering story far more credible. Structured AI adoption across the software delivery lifecycle can also strengthen this picture, provided it is measured rather than claimed.

Tell the Technology Story Before Someone Else Does

In every exit, someone will describe the target's technology to the buyer's investment committee. The only question is whether the seller shapes that description or the buyer's advisers write it alone. A 90-day readiness programme gives management the facts, the fixes and the evidence needed to lead that conversation.

The payoff is rarely a single dramatic number. It is a smoother process, fewer price chips, narrower indemnities, less time in exclusivity and a management team that can answer difficult questions with confidence. If you are planning an exit in the next 6 to 12 months, let's talk about how our technology due diligence team can run a mock buyer DD and prepare the company for the real one.

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