PERSPECTIVE
August 31, 2026
In most private equity deal processes, technical due diligence happens late, gets a fixed and often short window, and is scoped narrowly around “does the technology work today.” That framing misses almost everything that actually matters for the investment thesis, and it shows up as expensive surprises in the first twelve months of ownership.
“Does the technology work today” is the wrong question, because almost every target’s technology works today, that is a low bar, and it tells you nothing about whether the technology can support the growth thesis the deal is actually being priced on. The right question is closer to: can this technology, and this engineering team, actually scale to the plan we are underwriting, without a re-platforming effort nobody budgeted for.
That is a fundamentally different assessment, and it requires technical diligence to be looped in early enough to actually inform deal terms, not just confirm a decision that has already effectively been made.
The post-close surprises we see most often are not “the software is broken.” They are things like: a codebase with a small number of key engineers who understand critical, undocumented parts of the system, and no realistic plan for what happens if any of them leave. A data architecture that worked fine at current scale and hits a hard wall well before the growth plan’s targets. A vendor or licensing dependency that becomes materially more expensive or restrictive at the exact scale the deal is targeting.
None of these show up in a surface-level “does it work” assessment. All of them show up in an assessment specifically built around the growth thesis the deal is underwriting.
The fix is not more technical diligence, it is differently scoped technical diligence, engaged early enough to inform the deal rather than rubber-stamp it, and explicitly evaluated against the specific growth plan the investment is pricing in, rather than a generic technology health check.
Firms that have made this shift describe it less as an additional cost and more as a redirection of diligence spend that was already happening, just aimed at a question that actually predicts post-close outcomes instead of one that mostly does not.
Zero trust gets sold as a technical architecture. In banking specifically, the harder and more important part is the policy and organizational change underneath it.
Composable commerce is the current default recommendation for retail platforms. It is genuinely the right call for some retailers, and a costly overcorrection for many others.
Technical due diligence in private equity deals is often treated as a compliance checkbox late in the process. That sequencing is costing firms real money post-close, and it is fixable.
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