What it is planned to cover
- Where automation pays: repeatable checks, status reporting, specification consistency and log review
- Governing automation: ownership, validation proportionate to risk, and change control
- Using AI assistants safely: what never to enter, human review checkpoints and how to check a draft
- Measuring benefit honestly, including the time spent checking and correcting
- Common failure modes: over-trust, unvalidated outputs and hidden maintenance cost
- A staged approach: start with low-risk, high-repeat tasks
What you can use today
- AI workflow builder · Describe a challenge and get a workflow, available today
- Field Guide: Automation and AI Governance
Help shape this chapter
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