Artificial intelligence has finally reached the point where its mistakes are no longer theoretical—they are financial, legal, operational, and reputational events with real victims and real costs. And yet, as organizations rush to automate decision making, a quieter crisis is unfolding insurers are stepping back.
For forensic accountants, this shift is seismic. It changes how losses are quantified, how responsibility is established, and how evidence is reconstructed.
Traditional business insurance has always been comfortable covering human error. If an employee makes a mistake, the policy responds.
Major insurers now exclude liabilities tied to chatbots, agents, and other AI tools from standard business coverage.
The reason is simple: AI related lawsuits have exploded, rising nearly 1,000% between 2021 and 2025. Underwriters see a risk curve they can’t model, a liability they can’t price, and a technology whose behaviour they can’t predict.
Investigating an AI related failure is fundamentally different from investigating human error. Human decisions leave trails—emails, approvals, conversations, instructions. AI decisions leave data artefacts, model weights, training sets, system logs, and sometimes nothing at all.