Autonomous AI
customer operations
Multi-agent AI that triages, investigates and resolves customer support tickets with full transparency.
Live from this deployment
- 0
- Tickets processed
- 0 ms
- Average latency
- $0.0055
- Average cost / ticket
- 76%
- Cleared without escalation
Every decision is inspectable
An agent that drafts a refund is making a commitment on your behalf. The pipeline is built so you can see exactly how it got there, and so a rule can always overrule a model.
A specialist per lane
Triage classifies intent and urgency, a deterministic router picks a lane, and a billing, technical, account or orders agent runs a bounded tool-calling loop against your real data.
Rules outrank the model
A deterministic guardrail gate runs before the supervisor, and the model cannot soften it. A refund over the ceiling escalates even when the supervisor says the reply is fine.
A trace, not a log
Every hop streams live with its model, latency, token count and expandable tool calls showing the validated input and output JSON.
Nothing sends itself
Every reply waits for a person. Approve, edit or escalate, and the audit footer records the pipeline, the verdict and who signed off.
See it process a real ticket
Open the console and replay a run hop by hop. Replays read the stored trace, so they cost nothing and call no model.
Open the console