AI Messg™
A helpful draft is a good beginning.
Use AI messaging as a bounded aid for interpreting, drafting, and organizing conversations. Keep evidence, uncertainty, and the authority to act separate.
Three decisions to make first.
Choose a narrow job
Summarizing an inquiry is different from approving a refund or sending a promise. Define one task in a sentence, specify the acceptable output, and name what the model must not decide.
Make evidence inspectable
Give a reviewer access to the source material behind an answer. A fluent response is not sufficient proof that a policy is current or that the person asking is entitled to the information.
Keep corrections easy
A teammate should be able to revise a label, reject a draft, or take over the conversation. Record the corrected outcome so a future review can distinguish a useful suggestion from a repeated mistake.
A useful starting sequence.
- Write the assistant’s allowed task.
- Prepare a small representative evaluation set.
- Review uncertain answers before external use.
What not to assume.
Do not treat an AI-generated label as verified customer intent. Keep model suggestions distinguishable from facts supplied by the person or confirmed by the team.
For a practical review, describe the intended audience, the information crossing each boundary, and the person responsible when the ordinary path fails.
One useful question.
Does adding AI require an autonomous agent?
No. A drafting or retrieval assistant can be useful without the authority to change records or contact anyone. Introduce external actions only when the permission and review model is explicit.
Keep the idea moving.
Grounded AI chat: useful answers need an evidence boundary
A practical review of source curation, retrieval, uncertain answers, evaluation, and the line between answering and acting.
Read the complete guideExplore nearby topics in the same part of the message journey.
Have a workflow in mind?
Share the message journey you are planning and the point that needs a little more clarity.