What to review before trusting an AI-generated plan

AI-generated plans are useful because they turn a blank page into a structured draft. But a draft still needs review, especially when the plan will shape commitments, staffing, or customer expectations.

Start with assumptions. What did the AI infer about scope, deadline, technical approach, stakeholders, or dependencies? Hidden assumptions are the most common source of plan mismatch.

Then review sequencing. Are tasks ordered by real dependency or just by a generic workflow? Some work can happen in parallel. Other work must wait for decisions, access, legal review, or customer input.

Ownership is the next check. Every meaningful task needs a clear owner, and every owner needs the authority or support to complete it. A plan full of unowned tasks is only a wish list.

Finally, look for missing work: QA, documentation, rollout, analytics, support handoff, enablement, and post-launch monitoring. AI can draft quickly, but the team's experience makes the plan trustworthy.