Real companies, real markets
Venture-backed teams are already building autopilots across these functions. GreatCTO gives you the same flow — open, measured, yours.
GreatCTO ships AI autopilots that run a whole business function — medical coding, legal docs, procurement, accounting, IT, tax — from intake to outcome. A qualified human signs only the judgment calls. Measured quality, built-in compliance.
20k+ downloads on npmEach autopilot is a flow of agents + tools with a human on the judgment calls — and a measured quality score behind it, not a claim. See all autopilots ↗
Venture-backed teams are already building autopilots across these functions. GreatCTO gives you the same flow — open, measured, yours.
The next wave isn't a tool for a specialist — it's an autopilot that sells the outcome of a service. It runs a whole business function end to end and escalates only the judgment calls to a qualified human. You're not buying seats and learning a UI; you're buying the work, done. And every model improvement makes that service faster and cheaper — the economics only bend your way. For every dollar of software there are six dollars of services. That's the budget the autopilots are coming for.
Each autopilot runs the real steps of the work as a chain of specialist agents — not one chat window. The volume runs straight-through; you see the whole flow on one page.
A certified coder, a licensed attorney, a controller, a credentialed preparer — they own the call that carries liability. The autopilot does everything up to it, then escalates below its confidence floor.
Every autopilot is tested on a golden + adversarial set before it ships — and a regression blocks the release. Quality is verified, not asserted.
False Claims Act, UPL, OFAC sanctions, ASC 606, SOX, §7216 — the obligations for the function are a step in the flow and a signed checkpoint, not a PDF you read later.
EHR, clearinghouse, ERP, banks, RMM, IdP, e-sign — connectors run as sandbox stubs to pilot in minutes, then flip to the real provider to go live.
Who decided, what, on what evidence, at what confidence — recorded for every autonomous action. When it matters, you can reconstruct exactly why. Self-hosted, MIT, your data never leaves.
Pick the function and jurisdiction — see the flow, agents, tools and human checkpoints instantly.
Medical coding, legal docs, procurement, accounting, IT, tax — each is a ready-made flow.
Intake → process → decide → deliver, end to end. Connectors plug into your stack: sandbox stubs to start, real providers to go live.
The autopilot does the volume and escalates the risky calls to a qualified human — coder, attorney, controller, preparer.
Outcome-automation is only safe with rails. Every autopilot ships with three — and a built-in compliance reviewer that blocks before anything ships.
A certified coder, a licensed attorney, a controller, a credentialed preparer — the call that carries liability stays with a person. The autopilot escalates below its confidence floor.
Each autopilot is tested on a golden + adversarial set before it ships; a regression blocks the release — so quality is verified, not asserted.
Who decided, what, on what evidence, at what confidence — recorded for every autonomous action, so the outcome holds up to an audit, not just a demo.
An autopilot prices per outcome — a coded claim, a redlined NDA, a closed month — against a human baseline that's 50–100× more.
Every model improvement makes the same outcome faster and cheaper. The economics only bend your way.
You run it; your data never leaves your machine. No per-seat tax, no SaaS lock-in.
No GreatCTO invoice. Bring your own Anthropic / OpenAI key.