A support agent trained on your business and wired to your tools — one you own, not a per-resolution subscription.
Per-resolution platforms scale against you as you grow. This is a system you own: your data, your guardrails, your cost per resolution — and you can extend it.
We mine your real ticket history for the repetitive majority, pick what to automate first, and define what a good resolution means.
Retrieval over your docs and tickets, scoped tool actions on your systems, and the escalation path — behaving on real cases from day one.
An eval harness built from your ticket history, tone and safety guardrails, and human-in-the-loop review — so it survives edge cases, not just the demo.
Deploy to your channels, wire the observability dashboard, and transfer full IP. You own it.
It automates the tickets that actually recur — not a vague assistant that does everything badly.
What you receive
The conversation, the actions it takes, the evals it passes, and the numbers it moves. A sample is shown; yours runs your tickets, on your channels, owned by you.
Retrieval, a scoped tool call, and a clean resolve — the agent doing the job.
resolved · confidence 0.94 · escalation offered
Scored against your real tickets before it ever meets a customer.
Named, scoped, audited — with approval gates above your thresholds.
1// scoped, audited actions the agent can take2defineTool('lookup_order', {3 access: 'read',4 input: { orderId: z.string() },5})67defineTool('issue_refund', {8 access: 'write · approval > $500',9 input: { amount: z.number() },10})
What the support workflow looks like 60 days after launch.
An agent that resolves the repetitive 60% and hands the rest to humans, with context.
Owned economics — a cost per resolution measured in cents, not a platform fee that grows with volume.
A 24/7 agent wired to the order system that actually re-routes, refunds, and updates.
We scope the exact number with you, and sign a mutual NDA before any code or data is shared.
Build logs, agentic engineering decisions, agent failures, evals, and what survives real users. Sent weekly, never more.