AI-assisted workflow with human review boundaries
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YAS / IMPLEMENTATION CAPABILITY / AI-assisted workflows

Use AI inside a controlled workflow, not as an unbounded actor.

AI is useful when it assists classification, extraction, research, transformation, or context assembly inside a process with clear authority and review.

When this capability is useful

  • Unstructured email or documents require classification or extraction.
  • Research and summarisation consume recurring operator time.
  • Drafting repeats but still requires accountable review.

What must be designed

  • Grounding inputs, output boundaries, and confidence conditions.
  • Human review, escalation, and fallback for uncertain cases.
  • Evaluation criteria tied to the workflow, not a prompt collection.

Decision artifacts

Choose the surface after the operating model.

  1. 01AI boundary diagram.
  2. 02Example evaluation matrix.
  3. 03Human-review and fallback flow.

When not to use it

  • Do not sell a chatbot demo as an operating system.
  • Do not promise autonomous agents with unbounded permissions.
  • Do not call prompts alone a system.

Related decision path

Content to publication workflow

Open related path