PE Due Diligence Programme — Lesson 6 of 10
Technology diligence has traditionally been the province of specialist advisors — brought in to "kick the tyres" on the codebase and provide a red/amber/green assessment. In too many deals, the technology report lands on the deal team's desk two weeks before completion, is 80 pages long, and is largely incomprehensible to anyone without a computer science degree.
This is a problem, because technology quality is no longer a niche IT concern. It is a strategic intangible asset that directly affects every dimension of the investment: growth potential (can the platform scale?), margin trajectory (how much will remediation cost?), competitive position (is the technology genuinely differentiated?), and integration risk (can this technology be combined with the platform?).
This lesson provides a commercially focused technology assessment framework — one that translates technical findings into deal-relevant language and helps PE professionals ask the questions that matter.
Technology diligence is not about whether the code is elegant. It is about whether the technology supports the business plan you are underwriting. A deal model that assumes 30% revenue growth requires a platform that can handle 30% more users, transactions, and data. A platform with significant technical debt may need 12-24 months of remediation before it can support growth — a delay that directly affects hold-period returns.
The Five Dimensions of Technology Assessment
Technology Assessment Dimensions
| Dimension | Core Question | Deal Impact |
|---|---|---|
| Architecture quality | Is the technology well-designed, modular, and maintainable? | Determines the cost and speed of future development |
| Technical debt | How much remediation work is required before the platform can support growth? | Directly affects the capex/opex plan and growth timeline |
| Scalability | Can the platform handle the growth the deal model assumes? | Constrains or enables the revenue growth assumption |
| Security and compliance | Are there security vulnerabilities or compliance gaps that create liability? | Potential for regulatory fines, breach costs, reputational damage |
| AI readiness | Is the technology architecture positioned to leverage AI, or will it be disrupted by it? | Increasingly determines competitive sustainability over the hold period |
Architecture Quality
Software architecture is the foundation on which everything else is built. Good architecture enables rapid feature development, reliable scaling, and efficient maintenance. Poor architecture creates compounding costs that grow worse over time.
Architecture Quality Indicators
| Indicator | Good | Concerning |
|---|---|---|
| Modularity | Loosely coupled services with clear interfaces | Monolithic application where changing one thing breaks others |
| Code quality | Consistent standards, automated testing, code review process | Inconsistent quality, no testing, no reviews |
| Documentation | Architecture decisions documented; API specifications maintained | Tribal knowledge; no documentation |
| Dependency management | Dependencies up to date; automated vulnerability scanning | Outdated frameworks; unpatched security vulnerabilities |
| Deployment | Automated CI/CD pipeline; frequent, low-risk releases | Manual deployments; infrequent, high-risk releases |