Understand the request and its risk
Summarize intent and flag cases that need judgment.
Evidence before automation
AI drafts that show their work.
See approved sources, risk checks and the handoff before a reply reaches the customer.
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Ground the answer in approved knowledge
Show approved sources beside the proposed reply.
Choose draft, automatic answer or handoff
Use policy and risk gates to draft, answer or hand off.
The practical standard
Inspect the answer before the customer does.
Answer tests expose the proposed answer, citations, confidence checks and missing knowledge.
Reply policy defines where AI may draft, answer automatically or hand the conversation to a person.
Decision audit records the evidence and rule behind each customer-visible AI action.
Trust
AI must stay visible and controlled.
Customer messages, support context, drafts and outputs are not used to train AI models.
Test it with real support work
Set the boundary before AI prepares the reply.
Connect approved knowledge, mark the cases that stay human and review the result inside the conversation.
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