The assessment gives the investment committee, the deal team and the board the independent technical judgment they need to price risk, structure the deal and plan post-acquisition. It does not run the company — it informs the decision to buy, partner or select.
- Go or no-go — whether the AI capability is real, deployable and defensible, or whether the claims do not survive technical scrutiny.
- Valuation adjustment — where the technology gaps, integration costs or talent risks justify a price adjustment or an escrow structure.
- Post-acquisition plan — what it will take to industrialise the AI capability, including architecture, talent and integration investments.
- Platform selection — which AI platform or vendor to standardise across portfolio companies, with independent comparison of capabilities and lock-in risk.
- Risk identification — technology debt, data dependencies, model risk, regulatory exposure and key-person dependencies that affect the investment thesis.
- Deal structuring — earn-outs, warranties or representations tied to AI capability milestones, informed by technical reality rather than vendor narratives.
For a structured approach to the assessment, see our industrial AI due diligence checklist. For broader advisory on AI strategy and vendor selection, see industrial AI consulting.