Practical knowledge

AI automation with human oversight

A useful workflow needs reliable sources, limits, review, logging and an exception route, not just clever prompts.

Questions about this topic?
Martien van Vliet · Development

Do not automate everything by default

Fixed rules may be better handled by ordinary software. AI can help variable inputs, language, images or preparatory drafts.

Define decision rights

Agree who controls sources and approves output and which actions may occur without manual approval. Greater financial, customer or privacy impact needs stronger checks.

A small content example

The team supplies topic, business information and sources. An agent drafts; a person checks facts and tone before publication. This is an illustrative example, not a customer result.

Evaluate the complete task

Define useful output and assess corrections, review time and errors alongside preparation time. Expand only after the process demonstrates value.

Design the failure route

Missing data, uncertain output and outages must become visible. Include appropriate logs, alerts and recovery from the start. Keep source versions and let people assess exceptions.

Practical checklist

  • Clear rights and review
  • Visible uncertainty and errors
  • Quality and rework measured

Further reading: official background information

A suitable next step

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