Technology due diligence is the workstream that makes most PE investors uncomfortable. They understand financial diligence intuitively. Commercial diligence speaks their language — markets, customers, competitive dynamics. But when the technology DD report lands with terms like technical debt, monolithic architecture, CI/CD maturity and infrastructure scalability, many investment professionals find themselves relying on the summary page and trusting the advisor’s overall RAG rating.
That’s a problem, because technology is increasingly the thing being acquired. In TMT deals, the technology is the asset. In non-tech deals, the technology platform is often the primary lever for the value creation plan — enabling scalability, improving margins, supporting new products. If you don’t understand the technology diligence findings, you don’t understand what you’re buying.
This article is written for PE investors who are not technologists but need to know what to look for, what to worry about, and how to translate technology findings into investment and value creation decisions.
What Technology DD Actually Assesses
A good technology due diligence covers five areas.
Architecture and scalability. Can the technology platform handle the growth the deal model assumes? This is the foundational question. If the target is projecting 3x user growth over the hold period, the technology needs to support that without a ground-up rebuild. Red flags include monolithic architectures that cannot be scaled independently, single points of failure in the infrastructure, and manual processes that don’t scale with volume.
Code quality and technical debt. Every software platform accumulates technical debt — shortcuts taken to ship features faster that create maintenance burden later. Some technical debt is normal and manageable. Excessive technical debt is a material risk: it slows feature development, increases bug rates, makes the platform fragile, and can require a costly remediation programme post-acquisition. The diligence should quantify the debt and estimate the cost and timeline to address it.
Team capability and key-person dependency. Technology businesses often have a small number of engineers who understand the most critical parts of the system. If those individuals leave post-acquisition, the acquirer may find itself unable to maintain or evolve the platform effectively. The diligence should identify key-person dependencies, assess the depth of the engineering bench, and evaluate the target’s ability to recruit and retain technical talent in its market.
Security and compliance posture. Data security, privacy compliance (GDPR, SOC 2, ISO 27001), and vulnerability management are no longer optional. A data breach post-acquisition is not just a reputational risk — it’s a financial one, with regulatory fines, customer churn and remediation costs. The diligence should assess the target’s security architecture, incident history, compliance certifications, and the maturity of its security operations.
Infrastructure and operational resilience. Where does the technology run? How is it deployed? What happens when something breaks? Cloud infrastructure, disaster recovery capabilities, monitoring and alerting maturity, and deployment frequency all affect the operational reliability of the platform — and therefore the customer experience and retention that underpins the revenue model.
The Red Flags That Should Change Your Bid
Not all technology risks are equal. Some are manageable post-acquisition with investment and good programme management. Others should change your bid price, your deal structure, or your willingness to proceed.
A platform rewrite is required. If the diligence concludes that the existing technology platform cannot support the value creation plan without a fundamental rebuild, that is a material finding. Platform rewrites are expensive, disruptive, and take 18–36 months. Factor the full cost — including the opportunity cost of engineering resources diverted from feature development — into your model.
The target has no automated testing or deployment pipeline. Manual deployment processes and a lack of automated testing are indicators of engineering immaturity that correlate strongly with higher bug rates, slower release cycles, and higher operating costs. These can be fixed, but the fix takes time and requires investment in engineering practices that the target’s current team may resist.
Customer data is poorly governed. If customer data is stored without proper encryption, access controls are weak, or the target has no documented data processing agreements with its customers, the compliance remediation required post-acquisition can be substantial — and the regulatory exposure in the interim is real.
Key technical decisions are undocumented and held in one person’s head. If the CTO or lead architect is the only person who understands how critical systems work, you have a key-person risk that is almost impossible to mitigate through retention alone. People leave. The question is whether the knowledge they take with them can be reconstructed — and if not, what that costs.
How to Brief Technology DD Effectively
The quality of the technology diligence output is directly proportional to the quality of the brief. PE investors who give their technology DD provider a generic scope get generic findings. Those who brief it against the specific investment thesis and value creation plan get findings that directly inform the bid and the 100-day plan.
Start with the deal thesis. If the value creation plan depends on the technology platform being able to support international expansion, brief the DD to assess multi-language, multi-currency and multi-regulatory compliance capabilities specifically. If the plan depends on margin improvement through automation, brief the DD to assess the current level of manual processes and the feasibility of automating them.
Ask for plain-language findings. Insist that the DD provider translate technical findings into business impact. A finding that the database architecture is poorly normalised is technically accurate but not useful to an investment committee. A finding that the database architecture will require a six-month remediation programme costing £400,000 before the platform can support the projected transaction volume — that’s useful.
Include the technology DD findings in the value creation plan. Technology risks identified in diligence should map directly to post-acquisition workstreams with budgets, timelines and owners. If the diligence identifies £2 million of required technology investment, that number belongs in the deal model and the 100-day plan, not in a forgotten appendix.
The Practitioner’s View
Technology due diligence is not a technical exercise. It is a commercial exercise conducted through a technical lens. The question it answers is not ‘Is the technology good?’ but ‘Does the technology support the investment thesis, and what does it cost to get it where it needs to be?’
PE investors who treat technology DD as a compliance box to tick are leaving value on the table — or, worse, acquiring risks they don’t understand. Those who brief it sharply, engage with the findings, and translate them into actionable investment and integration plans are building a genuine information advantage in an increasingly technology-driven deal market.
Aethon Ventures provides management consulting to PE/VC funds, mid-market businesses and corporate development teams across Growth, Profitability, M&A and Transformation. London-based with consulting partnerships in India and Malaysia.
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