What does AI due diligence evaluate?
Five areas that standard DD consistently misses.
First, what the target actually has versus what the CIM claims. Second, whether the underlying data can support AI systems in production. Third, model risk: accuracy, bias, and whether anyone can explain how it works. Fourth, whether the team can actually use what has been built. Fifth, technical debt: hidden maintenance costs that land on your balance sheet post-close.
We complete this in 2-3 weeks. Your deal team gets a clear picture of what the AI is worth, what it will cost to maintain, and where the real risks are.