AI autopilots for business · MIT · runs on Claude Code · 22.8k installs

Don't buy software.
Get the work done.

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. Live connectors, built-in compliance.

22.8k downloads on npm
no signup·runs locally·open source · MIT·your data never leaves
Pick the function to automate

An autopilot for every back-office function

🖥️
Managed-IT autopilot
Patches, configures and provisions across the client fleet — staged and reversible, with a human on high-blast-radius changes.
$100B+ marketOpen ↗
🩺
Medical-coding autopilot
Turns clinical notes into clean, compliant claims — a certified coder signs only the risky ones.
$50–80B marketOpen ↗
⚖️
Legal-document autopilot
Drafts and redlines contracts, NDAs and filings — a licensed attorney signs anything that's advice.
$20–25B marketOpen ↗
📒
Bookkeeping & close autopilot
Books entries, reconciles and closes the month — segregation of duties enforced, a controller signs the close.
$50–80B marketOpen ↗
🧾
Tax-prep autopilot
Prepares returns and classifies positions — a credentialed preparer signs before anything is filed.
$30–35B marketOpen ↗
🛡️
KYC/AML compliance autopilot
Onboards, screens and monitors customers — a BSA Officer signs every SAR and high-risk approval.
$61B marketOpen ↗
🔐
Managed-SOC / MDR autopilot
Triages and investigates every security alert 24/7 — a SOC analyst signs any containment.
$4–6B marketOpen ↗
Prior-authorization autopilot
Turns a prior-auth request + chart into an approval or a clean determination — a medical director signs every denial.
$35–56B marketOpen ↗
🏠
Mortgage-underwriting autopilot
Processes and underwrites the loan to a clear-to-close — a DE underwriter signs the decision.
$40B+ origination cost marketOpen ↗
🛒
Source-to-pay autopilot
Onboards suppliers, matches invoices and releases payments — screened for sanctions and fraud, with a human on the big ones.
$200B+ marketOpen ↗
🪪
Provider-credentialing autopilot
Verifies a provider against primary sources and enrolls them — the committee signs the privileging decision.
$1.2B redundancy marketOpen ↗
☂️
Claims & underwriting autopilot
Adjudicates claims and prices risk — a licensed adjuster/underwriter signs the call that carries bad-faith exposure.
$36–38B marketOpen ↗
📊
SOX ITGC audit autopilot
Tests IT general controls and drafts workpapers — a licensed CPA signs the opinion.
$15–25B (SOX) marketOpen ↗
🔑
Title & escrow autopilot
Runs title search, escrow and closing — a licensed officer signs the insurable title and authorizes the wire.
$16.2B premiums marketOpen ↗
💰
Debt-collection / AR autopilot
Runs compliant outreach and negotiates plans — a manager signs legal escalation and settlements.
$13.5–16.1B marketOpen ↗
🛃
Customs-clearance autopilot
Classifies, screens and clears imports — a licensed customs broker signs the entry of record.
$4.6B marketOpen ↗
🚚
Freight-brokerage autopilot
Matches loads to vetted carriers and books them — a licensed broker signs binding rates and claims.
$19–125B marketOpen ↗
💊
Pharmacovigilance autopilot
Processes adverse-event cases — a QPPV / drug-safety physician signs before reporting.
$1.65B outsourced marketOpen ↗
🧪
Clinical-trial-ops autopilot
Screens patients and runs monitoring — the PI / medical monitor signs eligibility and safety calls.
$20–28B US marketOpen ↗

16 autopilots, each a flow of agents + tools with a human on the judgment calls — and 17 live connectors that run real data, reused across them. See all autopilots ↗

Real companies, real markets

Venture-backed teams are already building autopilots across these functions. GreatCTO gives you the same flow — open, live, yours.

AnteriorHarveyRilletCrosbyServalTactoBlack OreDigitsElectric AIColumn TaxRobin AICodaMetrixPuzzleAskLio
The shift

Services are the new software.

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.

What's in every autopilot

A flow of agents & tools — with a human on the calls that matter.

The flow

Intake → process → decide → deliver.

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.

Human checkpoints

A qualified human signs the judgment calls.

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.

Runs live

Real data, not a mock.

Each autopilot executes its flow on live connectors — a real FHIR note, a real X12 837 claim, a real OFAC screen, a real tax computation. 17 live connectors, reused across the 16 autopilots.

Built-in compliance

The regulation, baked into the flow.

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.

Connectors

Plugs into your stack.

EHR, clearinghouse, ERP, banks, RMM, IdP, e-sign, sanctions — keyless by default, then flip to your own provider with a single credential. No integration project to start.

Audit trail

Every decision, logged.

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.

Flow builder · interactive

What do you want to automate?

Pick the function and jurisdiction — see the flow, agents, tools and human checkpoints instantly.

great-cto — init
$ npx great-cto init This is exactly what runs in your repo.
How it works

Pick a function. The autopilot does the rest.

1 · Pick

Choose the function to automate.

Medical coding, legal docs, procurement, accounting, IT, tax — each is a ready-made flow.

2 · It runs

The flow executes — agents + your tools.

Intake → process → decide → deliver, end to end. 17 connectors run live on real data — keyless by default, flip to your own provider with one credential.

3 · A human signs

The judgment calls go to a person.

The autopilot does the volume and escalates the risky calls to a qualified human — coder, attorney, controller, preparer.

Why it's safe to let it run

The autopilot does the volume.
The rails keep it honest.

Outcome-automation is only safe with rails. Every autopilot ships with three — plus its own domain compliance reviewer (False Claims Act, OFAC, FDCPA, 21 CFR Part 11, ECOA, ALTA, FMCSA…) that blocks an unsafe design before anything ships, held to an adversarial test set before release.

Human checkpoint

A qualified human signs the judgment calls.

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.

Built-in compliance

The regulation, baked into the flow.

False Claims Act, UPL, OFAC sanctions, ASC 606, SOX, §7216 — the obligation for the function is a step in the flow and a signed checkpoint, not a PDF you read later.

Audit trail

Every decision, logged.

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.

The economics

Cents per outcome.
Not seats. Not retainers.

An autopilot prices per outcome — a coded claim, a redlined NDA, a closed month — against a human baseline that's 50–100× more.

Per outcome

Pay for work, not seats.

Every model improvement makes the same outcome faster and cheaper. The economics only bend your way.

Open source

MIT. Self-hosted. Yours.

You run it; your data never leaves your machine. No per-seat tax, no SaaS lock-in.

Your own LLM

You pay your tokens — we don't bill you.

No GreatCTO invoice. Bring your own Anthropic / OpenAI key.

Enough reading.

Name the function.
Get the work done.

$ npx great-cto init
Pick a function to automate · the autopilot runs the flow · a human signs the calls that matter
Open source · MIT · self-hosted · your data never leaves your machine