LifeRoundHere.ai
Free playbook • Responsible AI adoption

AI Use-Case Intake and Risk Review

A lightweight operating process for deciding which AI ideas should proceed, which need safeguards and which should stop.

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The bottleneck

Employees experiment with AI tools before value, data exposure, ownership or accountability have been examined.

The recipe
  1. Submit the problem, intended users and expected value.
  2. Classify data, impact and reversibility.
  3. Review vendor, access and human-approval requirements.
  4. Record an approve, revise or decline decision.
  5. Run a controlled pilot with KPI and review date.
Where it breaks

This is not a substitute for legal, privacy or sector-specific review. High-impact uses require qualified specialists and documented authority. The process must scale to the actual risk.