Agentic workflows save time precisely because they reduce the need for human instruction at each step. But removing human checkpoints entirely creates automation pipelines that can publish false information, violate editorial guidelines, or cross ethical lines — all without any human having reviewed the decision. The solution is not to abandon automation but to design explicit, mandatory human override steps at the highest-risk decision points.
Which Steps Should Always Require Human Approval
Non-negotiable human override steps: publication to any public channel (no agent should have unreviewed publish access), any claim about a named individual (especially sensitive or potentially defamatory characterisations), breaking-news alerts (where incomplete information risk is highest), story categorisation decisions that affect editorial positioning (front page vs. section placement), and any AI claim with a verification confidence below 85%.
Designing Override Interfaces
Human override interfaces should: present the AI's decision with its reasoning ("Agent chose to publish because X"); provide clear approve/reject/revise options with a 30-second or less decision path; log all human decisions for audit purposes; and send an alert rather than blocking — the human should receive the decision for review, not be presented with a wall before the pipeline can proceed. Slack bots, email approval workflows, and CMS approval queues all implement this pattern effectively.