Example build · AI agent
Customer support agent
Your team answers the same order, account and how-to questions all day, while complex tickets wait in the queue.
01What we build
- 01Agent that reads the ticket, looks up orders and accounts, and resolves routine requests end to end
- 02Answers grounded in your help centre and policies, with sources
- 03Confident hand-off to a human with a summary when it should not answer
Connects to
Measured on
- Resolution rate
- Escalation accuracy
- Customer satisfaction
- Cost per ticket
02How it works
From input to outcome, step by step.
- 01
Connect the knowledge
Help centre articles, macros, policies and past resolved tickets are indexed, with freshness checks so answers follow policy changes.
- 02
Read and route every ticket
Each ticket is classified by intent, urgency and account. Routine requests go to the agent; sensitive ones go straight to a person.
- 03
Resolve with real tools
Order lookups, address changes and refunds within limits run through tested functions with their own permissions and checks.
- 04
Hand off and learn
When it isn't sure, it escalates with a summary of what it checked. Every human edit becomes a new evaluation case.
03Questions
Before you ask.
01Will it replace our support team?
No. It takes the repetitive tier-1 volume so your team can focus on complex, high-value conversations. You decide which ticket types it may resolve on its own.
02What happens when it doesn't know the answer?
It says so and hands off. Escalation with a summary is designed in from the start and measured as part of the evaluation suite.
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