Topic hub
AI Loops: everything in one place
An AI loop is a repeatable piece of work with a clear definition of done, delegated to an AI agent that keeps working and checking until that definition is met. The agent runs the loop. A human owns its specification and is called for exceptions, missing decisions or protected boundaries, not routine completion.
This page organises everything we've published on AI loops by what you need, rather than by publication date.
1. Understand AI loops
What is an AI loop?
The canonical definition, and why leaders should learn loops instead of agents.
Start here →2. Specify a loop
The six-question specification
The operating contract between the business and the agent, in six answers.
Learn the method →3. See examples
12 worked AI loop examples
Meetings, sales, reporting, onboarding, support, finance, hiring, compliance, marketing and product.
Browse the library →Understand AI loops
Specify a loop
Choose and build
See worked examples
Scale across the organisation
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