Order support agent
A walkthrough of how an AI support agent resolves an order question: reading intent, checking policy, acting through tools, and handing off to a person when it should.
- Type
- Product demonstration / 2026
- Stack
- LLMRetrievalWorkflow engineNext.js
This is a product demonstration built with sample data to show our approach. It is not a client engagement.
What we set out to do
Customer support is full of questions that have a correct answer in your own documents and a system that can act on it. The brief for this demonstration: an assistant that answers from approved content, takes safe actions, and knows its limits.
How we thought about it
- 01
Grounded answers
The agent answers from approved help content and policies rather than improvising, and shows where an answer came from.
- 02
Actions through tools
Looking up an order or updating an address happens through defined tools with clear permissions, not free-form access to your systems.
- 03
Human hand-off
When a request is sensitive or unclear, the agent escalates to your team with the whole conversation attached.
What was built
- Conversational interface with source-cited answers
- Tool layer for order lookup and address change
- Escalation to a human queue with full context
- Conversation log for review and improvement
This demonstration relates to our product AI Support Agent
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