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[ AI & Automation ]

AI assistants: grounding answers and defining human handoff

A useful assistant needs a defined knowledge source, retrieval rules, confidence thresholds, restricted actions, escalation routes, and a way to record the context passed to a human teammate.

DATE November 23, 2024READING 4 min readCATEGORY AI & Automation

AI assistants rewards teams that record constraints, ownership, and acceptance criteria before selecting components or vendors.

A durable approach to AI assistants separates what the platform provides from what the team must document, own, and maintain over time.

Acceptance of AI assistants should be demonstrated on the genuine path with real content, real accounts, and representative traffic rather than staged examples.

Before committing budget to AI assistants, write the acceptance criteria and confirm platform constraints in the official documentation linked below.

[ Sources ]

Official documentation, checked and cited.

Terminology and platform behavior in this note trace back to published docs, not secondhand summaries.