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Manufacturing and Engineering

Manufacturing and Engineering

Engineering and manufacturing organizations are using AI to review technical drawings, flag quality issues, and check safety-critical documentation. The stakes are physical, which means the review has to be defensible.

Which layers matter most here

  1. Workflows — How should the AI do recurring work?
  2. Domain Knowledge — What does the AI need to know?
  3. Observability — What did the AI do?
  4. Guardrails — What should the AI never do?

A realistic governance gap

What an engagement looks like here

Engineering engagements focus on the workflow design: which AI decisions can stand alone, which require explicit human concurrence, and how the checkpoint is enforced.

See how engagement works