What does AI due diligence evaluate?
AI due diligence evaluates five areas that standard DD consistently misses.
First, AI capability assessment: what the target actually has versus what the CIM claims. Second, data infrastructure quality: whether the underlying data can support the AI systems in production. Third, model risk: accuracy, bias, and explainability of any deployed models. Fourth, adoption readiness: whether the team can actually use what has been built. Fifth, technical debt: the hidden maintenance costs that will land on your balance sheet post-close.
We complete this assessment in 2-3 weeks. The output is a structured report that gives your deal team a clear picture of what the AI is worth, what it will cost to maintain, and where the real risks sit.