AI Agent Risks Put Consultant Cover Under the Microscope

The report, covered by Insurance Business Australia on 16 July 2026, argues that a large share of AI agent exposure may already be sitting inside conventional insurance policies that were not written with autonomous technology in mind. For consultants, that matters because AI is no longer limited to drafting notes or summarising documents. Increasingly, tools can interact with software, retrieve information, trigger workflows and influence client-facing outputs.

That shift can blur traditional lines between professional negligence, cyber incidents, technology errors and omissions, fraud, discrimination and management liability. A strategic adviser using an AI tool to analyse client data, an IT consultant deploying automated remediation software, or a management consultant relying on an agent to prepare recommendations could each face difficult questions if the output causes financial loss, privacy harm or reputational damage.

The insurance market is beginning to respond. Some insurers are moving towards clearer AI wording in professional liability, cyber and technology policies, while others may use exclusions to reduce uncertainty. That creates a practical challenge for policyholders: silence in a policy is not the same as certainty. If AI is neither clearly covered nor clearly excluded, a claim can become a dispute about intent, system configuration, human oversight and whether the loss belongs under one policy or several.

This is an extension of the broader AI governance conversation already affecting insurers, brokers and professional firms. For consultants, the next renewal should not simply focus on premium movement. It should include a plain-English review of how AI is used in the business, who approves its outputs, what client data it can access, and whether contracts with clients or software vendors shift liability back onto the consulting firm.

Some questions to consider asking may include:

• Does the professional indemnity policy contemplate AI-assisted advice, deliverables or analysis?
• Does cyber cover respond if an AI tool exposes data, misuses credentials or enables a fraudulent instruction?
• Are technology, crime, management liability and public liability policies aligned, or could gaps appear between them?
• Are staff required to verify AI-generated work before it reaches clients?

The immediate lesson is not that consultants should avoid AI. It is that adoption should be matched with governance, documentation and insurance review. Speaking with a specialist broker may help identify where current wording may be unclear, while comparing options for cover may become increasingly important as insurers refine their appetite for AI-driven professional risk.