Boutique on purpose.
JCO is a consulting firm in New York and Montreal that designs, builds, and runs AI, analytics, and revenue & finance operations systems for mid-market companies.
- Disciplines
- AI systems · Analytics · Revenue & finance operations
- Based in
- North America, Europe & Asia
- Offices
- New York · Montreal
- Bench capacity
- ≈ 45 full-time technical staff, US & Canada
Most consultancies scale by adding people. JCO scales by adding systems. We stay small on purpose: one principal who knows your P&L, a senior bench behind him, and no layer of account managers between you and the person doing the work.
The discipline comes from finance, not from software. Limits and safety checks are designed before a line of code is written, decisions are logged so they can be replayed months later, and documentation is written for your risk and finance people rather than for other engineers. It is the standard we learned building for lenders, and every client gets it, whatever the industry.
We fit the way you already work. We can run the workstream with a mixed team of your people and ours, or embed as a senior individual contributor inside your org. No junior pyramid, no handoffs, no discovery phase that never ends.
And the engagement is built to end well. You hold the code, the prompts, the runbook, and the keys, so keeping us on is a choice, never a dependency. That is what boutique on purpose means.
The founder.
The person who scopes your build is the person who ships it.
Johnny Chen
Founder & Principal
Johnny builds the systems mid-market firms cannot usually staff for: AI underwriting that credit committees approve, reconciliation CFOs sign their names to, and revenue operations that pay for themselves. Across 30+ companies he has led workstreams and embedded as a senior individual contributor. Every JCO engagement gets him directly, from the first scoping call to the production handoff. And no one works alone: when the scope calls for more, he staffs from a fractional bench of roughly 45 engineers, analysts, and operators across the US and Canada, assembled per engagement and led by him.
What we commit to.
The commitments below are part of every engagement, in writing.
Your data stays yours
Never used to train models. Not ours, not anyone’s.
Your environment, or a dedicated one
A dedicated cloud project, or hosted entirely inside yours.
Everything transfers at handoff
Full IP: code, prompts, documentation, and the runbook.
Diligence-ready
NDAs and security questionnaires accepted as standard.
References on request
Client reference calls available during diligence.
30 days of tuning included
Post-launch tuning is part of the engagement, not an upsell.
Each of these is written into the statement of work.
Next step
Bring us a workflow. Leave with the business case.
Five questions, sixty seconds. Then a 30-minute call: you describe the workflow, we tell you what a system would return and what it would cost.