An illustrative sketch of one shape we ship: a triage agent pulling work off a queue, classifying it, scoring its own confidence, and routing the edge cases to a human. Loops every minute or so. Code lives in your repo, not ours. Your team can read it, change it, and run it without us.
An illustrative system, the same shape we ship. We hand over the repo, the eval set, the runbook, and the named owner on your side. How a project runs ↗
We don’t sell capabilities. We sell better ways of working. Every engagement comes with a scope, a price, a calendar, and a named outcome on your team’s dashboard. No discovery phases that bill for ten weeks and end in a PDF.
We don’t publish client case studies. Most of the work is internal, sensitive, or under NDA. Instead, here are the shapes of systems we actually build — abstracted into illustrative mockups so you can see how they hang together. If one of these resembles a problem on your desk, that’s the conversation to start.
The workhorse pattern. Replace a multi-hour manual review with a 90-second extraction agent that scores its own confidence and routes the edge cases to a human. Evaluated against your real historical documents before it touches production.
Classifies inbound calls, forms, and emails into one of ten to twenty buckets with a confidence floor and a human-in-the-loop on the edge cases. The kind of thing a junior used to do all day.
An agent that answers internal questions from your real policies, handbooks, and tickets — with citations, a confidence floor, and a clean handoff to a human when the question is outside the corpus.
The shape of a typical Chatbots & Agents engagement. Assessments and integrations follow the same rhythm at different lengths. We publish the calendar before kickoff, so there is no mystery about what happens when.
On site with the team. Watch the work happen. Decide what is worth building.
Write the evals before the agent. Ground truth from your real historical data.
First working pass. Crude but end-to-end. Shows where it fails, which is the useful part.
Tool calls, retries, cost ceilings, observability. Where most pilots quietly stop.
Live with two or three people. Watch what happens when a real human gets bored.
Runbook, evals you can rerun, named owner on your side, 30 days of support included.
Most AI agencies sell capabilities. We sell better ways of working — and then we hand them to the people doing the work.
Every engagement comes with two deliverables: the system, and the team that can run it without us. We document the prompts, the eval set, the failure modes, and the cost ceilings. We train the named owner on your side until they can change the thing themselves. The off-ramp is built in from week one.
A system without a fluent team gets shelved. A fluent team without a system stays stuck on copy-pasting into ChatGPT. We run both tracks in parallel so the day we leave looks the same as the day after — for the people doing the work.
Workflow automation, agents, internal Q&A, structured-extraction pipelines, AI-aware product surfaces. Scoped in weeks, not quarters. Evaluated against your real historical data. Shipped to production with monitoring you can read.
Hands-on AI literacy for the people who’ll touch the system every day. Ops, sales, legal, support, ops-adjacent leadership. Workshops are built around your tools, your docs, and the actual workflow we just shipped — not generic prompt theatre.
A thirty-minute call. We read your brief before we meet. If it is not the right fit, we will say so and point you toward someone better. If it is, you will have a scope and a price by the next morning.