HERO

AI support response drafting

One-line value: Produce faster first drafts while keeping policy-sensitive decisions in human hands.

When to use: Use this for high-volume ticket queues where consistency and speed both matter.

QUICK RESULT

If you only do one thing → ship a draft template set for your top three ticket intents (refund, shipping delay, product issue).

ACTION CHECKLIST

• [ ] Tag incoming tickets by intent before drafting starts.
• [ ] Define approved tone and policy boundaries for each intent.
• [ ] Generate a draft that includes acknowledgment, clear next step, and expected timeline.
• [ ] Force human review for refund, legal, and safety-sensitive cases.
• [ ] Track edit rate so you can tighten prompts and templates weekly.

EXAMPLE / DEMO

Before: Agents rewrite similar responses from scratch and miss policy wording.

After: AI creates intent-specific drafts; agents only correct edge cases and approve faster.

WHY IT WORKS

• Intent-first routing improves draft relevance.
• Guardrails reduce risky wording in sensitive tickets.
• Edit-rate feedback creates a measurable quality loop.

NEXT ACTION

• Pilot this workflow on 50 recent tickets and measure first-response time plus manual edit rate.

Source notes (kept for context)

Workflow

1. detect issue category
2. generate draft response
3. review accuracy
4. send reply