AI Workflow Review System
Created a lightweight review system for catching hallucinations, brand drift, edge cases, and confidence gaps in AI-assisted production work.
The team had begun using AI to accelerate production, but the review process had not changed enough to match the new risk profile. Drafts moved faster, yet reviewers still lacked a clear way to flag hallucinations, unsupported claims, tone drift, source uncertainty, and edge cases.
The work reframed AI adoption as an operating-design problem. The question was not whether the team could generate more output. The question was whether they could verify, correct, and approve that output without creating hidden quality debt.
The system introduced explicit review states instead of treating all AI-assisted work as a normal draft. Content could be marked as generated, verified, source-limited, risky, ready for human edit, or ready for approval, making uncertainty visible before it reached publication.
The review model also separated speed from confidence. Teams could still move quickly, but the workflow made it harder to mistake fluent output for reliable output. Every risky item needed an owner, a reason, and a resolution path.
Supporting proof included workflow maps, failure-mode examples, reviewer interviews, sample QA checklists, and annotated cases where AI output looked polished but failed verification. These examples helped stakeholders see why ordinary editing was not enough.
The system was tested against real production scenarios: unsupported claims, broken source chains, brand-voice drift, policy-sensitive statements, and confident but wrong summaries. This made the workflow practical instead of theoretical.
The final review system gave editors, operators, and leads a shared language for managing AI-assisted work. It reduced ambiguity around what needed human review, what could move forward, and which risks required escalation before publication.
The lesson was that AI does not remove judgment from the workflow. It moves judgment to new places. Good systems make those places visible, assignable, and reviewable.
