Business guides
How to use AI in customer support
A useful first support workflow organizes requests or drafts replies for review. It should help your team find the right answer without making promises your business cannot keep.
By Agentic Workers · Updated
Start from approved support material
Use current product documentation and approved policy wording. Record who owns each source and how updates reach the workflow. Ask the system to identify the relevant source when it drafts a reply. When the source does not answer the question, route the request to a person instead of inventing a policy or guessing an answer.
Keep sensitive actions separate
Classifying a request is different from issuing a refund or changing an account. Define which actions the workflow can take and which require approval. Treat incoming messages as customer data, not instructions that can change the workflow’s permissions. Keep access limited to the information needed for the support task.
Measure resolution quality
Test common questions, ambiguous requests, outdated information, and repeated messages. Review whether the answer is accurate, appropriate, and useful to the customer. Track corrections and escalations alongside response time. Start with a small queue and expand only when the team can maintain the source material and handle exceptions.
Before you start
- Use approved, current support sources.
- Require a handoff when the answer is missing.
- Keep refunds and account changes behind approval.
- Test ambiguous and repeated requests.
- Measure corrections and customer outcomes.