A custom AI agent for internal operations and bespoke workflows — scoped, hardened, and owned by you, not rented from a platform.
We scope the one workflow that pays for itself first, build it to survive real users, and hand you full IP. You own it, and you can extend it.
We pick the one workflow that pays for itself first — the tickets, calls, or ops task with the clearest ROI — and define what 'good' means.
Retrieval over your docs and systems, tool and MCP wiring, and the escalation path — the agent behaving on your real data.
An eval harness, guardrails, and a human-in-the-loop path — so it survives edge cases, not just the demo.
Deploy to your channels, wire observability, and transfer full IP. You own it.
One workflow that pays for itself — not a vague 'AI assistant' that does everything badly.
What you receive
The conversation, the tools it calls, the evals it passes, and the numbers it moves. A sample is shown; yours runs your workflow, on your channels, owned by you.
Retrieval, scoped tool calls, and a clean escalation — the agent doing the job.
triaged 42 · escalated 3 · 4 minutes
Scored against real cases before it ever meets a customer.
The named actions the agent can take — each scoped, typed, and audited.
1// scoped, audited actions the agent can take2defineTool('scan_queue', {3 access: 'read',4 input: { window: z.string() },5})67defineTool('open_incident', {8 access: 'write · sev gate',9 input: { severity: z.number() },10})
What the workflow looks like 60 days after launch.
A directed agent that handles the messy, judgment-heavy path your rules engine can't.
A reliable agent you own and can extend — not a black box rented per seat.
The repetitive judgment calls handled automatically, with humans kept in the loop where it matters.
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.