Agents

Most "AI agents"
are demos. We build the ones
that actually run your workflow.

An agent isn't a chatbot with a longer system prompt. It's software that takes real steps — reading your data, calling your tools, taking action — and knows when to stop and ask a human. We scope it to one workflow you actually run today, wire it into what you already use, and make sure it fails safely when it doesn't know the answer.

What we build
01 — Workflow agents

Multi-step tasks, handled end to end

Pulling data, filling forms, updating systems — scoped to one real workflow you already run, not a general-purpose assistant.

02 — Internal copilots

Grounded in your own data

Answers and suggestions pulled from your actual systems and docs — not a generic wrapper around a chat window.

03 — Data & fact-checking agents

Validates before a decision gets made

Cross-checks information against your systems so the thing downstream isn't trusting an unverified answer.

04 — Support & ops agents

Handles the first pass, escalates the rest

Takes the repetitive requests off your team's plate and hands off what actually needs a human.

How we build them
01

Scoped to one workflow, not "automate everything"

The agents that hold up are narrow on purpose. We start with one real, painful workflow and get that right.

02

Grounded in your systems, not sample data

Wired into what you already run on — your data, your tools, your auth — so it works on day one, not just in a demo.

03

Guardrails where it matters

Human-in-the-loop on the steps that carry risk or need judgment; the agent handles the rest on its own.

04

You can extend it yourself

Documented and understandable — not a black box you're afraid to touch once we're gone.

An agent that does one thing reliably
beats one that does ten things badly.

Tell us the workflow →