Our errors and omissions insurance carrier is demanding a formal algorithmic risk policy before renewing our professional liability coverage. How do we update our Core Processes and Accountability Chart to satisfy underwriting mandates around AI-generated advice?

Question

Tyler Smith · Accepted Answer

Carriers are waking up to algorithmic liability. When an autonomous model produces inaccurate technical analyses, faulty tax advice, or flawed medical summaries, the liability stays entirely with your firm. Insurers are no longer offering blanket coverage for unmonitored machine outputs, which means your operating system must demonstrate clear human control.

Resolve this at the Core Process level by embedding an explicit Human in the Loop verification gate before any external deliverable or decision reaches a client. Document this gate in your Proven Process so that both your team and your underwriters can see the exact compliance boundary. Every automated output must pass through a designated, licensed professional who validates the underlying assumptions and takes formal responsibility for the deliverable.

Update your Accountability Chart to reflect this legal exposure. The seat responsible for service delivery must have compliance verification listed as one of its five core roles. That seat is evaluated on regulatory adherence using the GWC framework. Do they get the risk, do they want the responsibility of signing off on machine-assisted work, and do they have the capacity to audit outputs systematically?

Bring potential underwriting exclusions to your Level 10 Meeting to IDS the issue before your policy renewal date. When you prove to auditors and insurance carriers that AI functions purely as an operational drafting assistant while human fiduciaries retain unilateral authority over the final result, your risk profile stabilizes and your insurability remains intact.