ai · 2026
AI Workflow for Classifying Support Requests and Drafting Replies
An AI workflow example that classifies repetitive support requests, retrieves knowledge, drafts replies, and keeps human review in the loop.
Problem
Support volume increased, repetitive questions took more time, and response standards varied between operators. Letting AI answer directly would be fast, but risky.
Solution
We connected classification, knowledge retrieval, draft generation, human review, and history storage into one workflow. AI stays as a drafting layer, not an uncontrolled sender.
Outputs
- Request classification
- Reply drafts
- Review screen
- Knowledge structure
In AI support automation, the key decision is not how much to automate, but where to keep human review. This structure uses AI to draft replies while operators keep final control.
Requests are classified by type, matched with internal knowledge, and converted into a draft response. Operators can edit or approve the draft, and the resulting history feeds back into the knowledge base.
A safe starting point is FAQ handling and internal document search. Once operating standards are clear, selected request types can move closer to automated response.