We ship the system. Not a deck about the system.
Bartine's AI practice is a small senior team that designs, builds, and ships Claude-native systems inside your business — workflow agents, codebase modernization, MCP infrastructure, and full-stack applications. Three-to-twelve week engagements. Senior engineers only. You own everything we build.
Working software by week oneFive things. We do them well. We say no to the rest.
We design, build, and deploy Claude-powered workflows inside your business — managed agent architectures, cloud deployment, and prompts tuned to your domain. We also build the Skills and plugins that make Claude a part of your operating system rather than a tab open next to it.
We run Claude Code as a supervised collaborator — for codebase architecture work, large refactors, and modernization of legacy systems. A senior engineer drives. The agent does rote work at scale. You get the throughput of a team and the judgment of one experienced person reviewing every commit.
When the right answer is a new application rather than an automation, we build it. Modern stack, production-ready, handed off with documentation a future internal engineer can actually use.
A centralized Model Context Protocol server is increasingly the right architecture for an enterprise that wants agents talking to actual systems — CRM, ERP, ticketing, finance, internal databases. We build the server, write custom connectors to your existing IT, and govern the access layer the agents depend on.
Where you don't need code yet — you need clarity. Where to start. What's worth automating. What process to fix before pointing AI at it. The advisory work is short, opinionated, and ends with a written plan and a specific first step. Not a slide deck.
Small. Embedded. Then gone.
The team is small. Every person on it has shipped production AI work before. No analyst pyramid. No rotating staff. The people you meet on the first call are the people writing the code on the last day.
We sit inside your team for the duration — your Slack, your repo, your standups. The output is working software, not a final report. If we're not in your repo by week one, we're not doing it right.
Code, prompts, agent definitions, infrastructure config, documentation — all yours. We don't build dependency. The mark of a good engagement is that you don't need us six months later. Several clients haven't.
The honest version.
What three weeks with us actually looks like.
We sit with the team and watch the work get done. Wherever the manual repetition is, we mark it. By end of day three, we have a one-page scope: what we'll build, what we won't, what success looks like.
First working prototype lands in week one. Real Claude agent, real connection to a real system, real data. The team uses it daily and tells us what's wrong. We ship a better version each Friday.
Auth, error handling, audit logging, documentation, runbook. Handoff session with whoever owns it going forward. Last meeting: the engagement is over and the system is in production.
Engagements scale from three weeks to twelve. The cadence above is the rhythm — prototype early, ship weekly, hand it off clean.
A conversation costs nothing. A bad implementation costs years.
Tell us what's broken or what you're trying to ship. If we're the right team, you'll know in thirty minutes. If we're not, we'll tell you who is.