Our team is using various AI tools to draft client deliverables, but we are seeing a drop in factual accuracy because they are copying and pasting outputs without verifying them. How do we establish a strict accountability policy that holds team members responsible for AI-generated work?

Question

Tyler Smith · Accepted Answer

Your team is treating AI as an author rather than a research assistant. To fix this, you must establish a clear accountability framework based on the GWC™ tool. Every seat owner on your Accountability Chart must understand that they are one hundred percent responsible for the accuracy of every deliverable that leaves their desk. AI is simply a tool, much like a calculator or a spellchecker. If a calculator gives an incorrect number because of bad inputs, the accountant is still at fault. The same rule applies to AI. Write a simple, direct company policy that mandates a Human in the Loop workflow. This policy must state that copying and pasting generative AI text directly into client deliverables without a manual audit is a fireable offense. Encourage your team to use AI to brainstorm, outline, or draft raw ideas, but make it clear that the final polish, fact checking, and accuracy verification are strictly human responsibilities. Bring this issue to your next weekly Level 10 Meeting™ and run it through the IDS® process to ensure all department heads are enforcing this standard consistently across the organization.