Why this setup works
The First Level router keeps one agent responsible for the customer conversation. It decides which job the customer needs, consults the right specialist, and sends the final reply. Specialists stay narrow. A returns specialist can validate return eligibility. An order specialist can check delivery data. An address specialist can update an order. They do not each need to repeat your brand voice, general routing policy, or human-escalation rules. This gives you:- one place to maintain routing decisions
- fewer competing AI triggers
- smaller, clearer specialist instructions
- one consistent customer reply
- easier testing when you add another support topic
Configure the First Level router
Give the router a broad exact scope, such as all supported email channels. Do not add an AI trigger to the router. Exact channel filters are checked before meaning-based AI triggers, so this router becomes the stable entry point for those channels. The router should:- identify the customer’s immediate request
- ignore incidental, negated, or already solved topic mentions
- consult the specialist whose scope fits
- combine the specialist result with shared policy and brand voice
- reply to the customer or hand the ticket to a human
Configure specialists
Give every specialist one support job and a detailed AI trigger. The trigger should include:- the customer outcome the specialist owns
- typical phrases in your customer languages
- explicit exclusions for adjacent specialists
- edge cases such as short follow-ups or negated mentions
Add a specialist safely
1
Create the specialist
Go to AI Agents and ask Ask Torben to create the focused
support job.
2
Write a clear AI trigger
Define what belongs to the specialist and what belongs to adjacent agents.
3
Update the router map
Add one branch to the First Level router that names the specialist. Ask Torben proposes this
router edit after creating the specialist; review it before applying it.
4
Test both sides of the boundary
Test requests that should use the specialist, adjacent requests that should not, and ambiguous
requests that should reach a human.