AI Due Diligence
Also called: Artificial Intelligence Due Diligence
AI due diligence is the work of establishing whether a company's AI claims, capabilities, costs and risks are what they are said to be, carried out before an acquisition or an investment. It answers four questions: what the technology actually does unaided, whether the team can maintain it, what it costs to run at the volumes promised, and what obligations come attached to the data it was built on. Each has a documentary answer rather than a narrative one: evaluation results, engineering headcount, inference bills, data licences.
In practice
Claims that survive a demonstration often fail the first question about running costs, because a capability priced at pilot volumes can be loss-making at customer scale. Treat it as its own workstream with technical review, not an annex to commercial diligence, and price the remediation into the model.