GuidesBy professionSupport leads deploying an AI agent on the front line
Letting an AI agent deflect routine tickets and hand off the rest safely
For support leads deploying an AI agent on the front line.
- 3 min read
- 5 steps
- 1 prompt to copy
The 2-minute version
Use it when Your queue is full of repeat questions, and you want an AI agent to clear the routine ones without improvising on the cases that need a person.
- Answers, triages and collaborates with your team across channels
- Learns only from the public and private knowledge sources you connect
- Hands off automatically when that is the safest option for the customer, including high-risk content
In short
- What this helps you do
- Intercom's Fin answers routine queries from the knowledge sources you connect and hands off to a person when that is the safest option. Support keeps ownership of which sources Fin can draw on, and sensitive cases route to a human rather than to the agent.
- What you leave with
- A support handoff plan that identifies when a person must take over.
- What to check before trusting it
- You choose which knowledge sources Fin may answer from
Workflow
0 of 5 done
Prompt to try
Use it, adapt it, and make it your own.
Prompt
Draft a short policy for our AI support agent: list the query types it may answer from our help centre, and the types that must always go to a human, such as billing, security and complaints. Explain each boundary in one line.
Human lens
- You choose which knowledge sources Fin may answer from
- You route billing, security and complaints to a person, not the agent
- You review escalations and fix the source content where Fin gets it wrong
What to avoid
- Fin is only as accurate as the sources you connect, so wrong source content becomes wrong answers
- Keep billing, security and complaints with a person rather than the agent
- Review handoffs early rather than assuming the routing is right from day one
Reviewed 18 August 2026