Customer support and success drafts

Support-ready communication:

• Replies that match policy (refunds, SLAs, eligibility) when you provide the rule source.
• Clarifying questions when the ticket is ambiguous—instead of confident guesses.
• Macros and snippets your team can reuse, versioned like code.

Agents draft; your team sends—especially for edge cases and unhappy customers.

• Tool access to tickets and internal docs (where configured) reduces “I think” answers.
• Approvals before messages leave your trust boundary fit regulated or high-stakes comms.
• Tone control via skills: brand voice, legal disclaimers, and forbidden promises.

1. Paste the ticket and any policy excerpts the answer must obey.
2. Ask for a short plan: what you need to verify before writing.
3. Generate two drafts: neutral and empathetic; pick or merge.
4. Fact-check numbers, dates, and product behavior against source systems.
5. Send from your tool with attribution if your policy requires it.

• Policy library or FAQ the agent is allowed to cite.
• Rules for PII—what never goes into prompts or logs.
• Escalation path when the request is legal, security, or executive sensitive.

1. Classify the ticket: how-to, bug, billing, complaint.
2. Gather facts from systems of record; note gaps explicitly.
3. Draft with clear next steps for the customer.
4. QA against policy; red-line anything that over-promises.
5. Log feedback when the draft was wrong—feed template updates.

• “Answer only from this policy text; if insufficient, say what is missing.”
• “Suggest three clarifying questions before we commit to a resolution.”
• “Rewrite at grade 8 reading level; keep technical terms where necessary.”

Avoid fully automated sends without review for financial or legal commitments.

• QA spot-checks show high accuracy on a sample of real tickets.
• Opt-out and human takeover are obvious to the team.
• Metrics exist: time-to-first-draft, edit distance, escalation rate.

• Hallucinated policy—always anchor to written rules.
• Over-apologizing or admitting fault your insurer would dispute.
• Leaking other customers’ data into replies.
• Tone mismatch with your brand under stress.