In software-driven acquisitions, we see the process as a search for hidden liabilities. A product may appear functional on the surface, but the underlying code may be riddled with technical debt or dependent on outdated frameworks that hinder future growth. As noted by datarooms.org.uk, this review encompasses everything from software architecture and code quality to the maturity of the DevOps pipeline and the stability of the technical team.
The stakes of this investigation are high because technical failures often surface only after the transaction is complete.
Risk is rarely binary; it exists on a spectrum of remediability. Some issues are "red flags" that should trigger a renegotiation of the purchase price or a request for indemnities, while others are simply operational gaps to be addressed in a post-merger integration roadmap. For example, a lack of automated testing is a manageable gap, but a fundamental flaw in the data architecture that prevents scaling is a systemic risk.
When evaluating software assets, we focus on the tension between speed of delivery and sustainability. Many startups prioritise rapid feature release over architectural rigour. This creates a "debt" that the acquirer must eventually pay. We categorise these findings to provide a clear view of the investment required to stabilise the asset.
| Attribute | High Health | Moderate Health | Critical Risk |
|---|---|---|---|
| Code Quality | Modular, documented, high test coverage | Functional but monolithic; sparse docs | Spaghetti code; no tests; high fragility |
| Scalability | Elastic cloud infrastructure; load-balanced | Vertical scaling only; manual intervention | Hard limits reached; frequent outages |
| Security | Regular audits; MFA; encrypted at rest | Periodic patches; basic firewall | No encryption; known unpatched CVEs |
| IP Status | Clear ownership; SBOM maintained | Mixed licenses; missing some records | Contaminated by GPL; disputed ownership |
Beyond the code, the human element is a primary point of failure. A company might possess a brilliant codebase, but if the knowledge of that system resides in a single "hero" developer without documentation, the asset is fragile. We examine the organisational chart to identify these key-person dependencies.
The scope of technical due diligence extends equally into the physical realm. In commercial property, the focus shifts from code to fabric and systems. According to the RICS professional standard, the process involves an adaptable framework of building surveys and condition inspections. The goal is to uncover hidden costs, such as outdated mechanical and electrical (M&E) systems or non-compliance with energy legislation.
In both digital and physical assets, the outcome is a report that converts technical findings into financial levers.
A successful process requires a secure environment for the exchange of sensitive data. We recommend the use of virtual data rooms to centralise documentation, from API specifications and software bills of materials (SBOM) to asbestos registers and fire risk assessments. This ensures that the diligence team can verify claims without compromising the security of the target's intellectual property.
Sources
- Technical Due Diligence: Risks, Benefits, and Checklist: covers software architecture, code quality, and the M&A process.
- Technical due diligence of commercial property, 1st edition: defines professional standards for building surveys and commercial asset appraisal.
- What is Technical Due Diligence?: details the importance of SBOMs, open-source license compliance, and code reviews.
