Autonomous engineering delivery
The output of an engineering department. Without the headcount.
Org plans, builds, reviews, tests, and ships software using the repositories your team already controls. Your CTO keeps architecture, security, approvals, release, and budget authority—and a separate reviewer verifies the live result.
The Org operating model
An engineering organization your CTO governs.
Org coordinates specialized roles across planning, implementation, review, QA, security, data, and deployment—while your leadership retains the decisions that should never be delegated.
Leadership authority
Your team remains the control plane.
Configure the organization
Build the delivery capacity the work requires.
Compose an organization around your repositories, operating constraints, and backlog. Each seat can be AI, human, or a hybrid where AI drafts and a person approves.
88
specialized roles
12
departments
AI · Human · Hybrid seats
Coordinated delivery system
Specialized work runs in parallel—not through one generalist agent.
Work is planned, delegated, reviewed, and attributed across the organization as one governed system.
Fail-closed governance
A failed gate stops the work.
Independent verification
The builder does not grade its own work.
A separate reviewer that did not write the code checks the live result against your original request before it counts as done.
Transforms product delivery. Keep leadership in control.
Your CTO and product managers keep direction, architecture, security, release authority, and budget. The organization beneath them executes with a significant improvement in delivery quality, speed, and cost.
Architecture
Your CTO makes the system and stack decisions.
Policy enforced
Approvals
Choose where AI acts and where a person must approve.
Policy enforced
Security
Policies and gates block unsafe work instead of negotiating.
Policy enforced
Release
Nothing ships without the release authority you define.
Policy enforced
Budget
Cap spend at the workspace before work begins.
Policy enforced
Staff the organization, role by role.
Choose from 88 roles across 12 departments—specification, implementation, review, QA, security, database work, deployment, and more. The operating model stays consistent even when the seat type changes.
AI seat
Runs the role within the policies, permissions, and gates you define.
Human seat
Keeps an existing person in the organization and the same operating model.
Draft + approve
AI prepares the work; a person decides whether it advances.
Nothing is done on the builder’s word.
Every run leaves evidence. Required gates fail closed, actions are attributed and audited, and a separate reviewer checks the live result against what you asked for.
88
Roles
12
Departments
1
Independent verdict
Delivery evidence
Every action attributed
Plans, changes, reviews, tests, approvals, deployment, and spend remain auditable.
Fail-closed gates
Independent reviewer
Checks the live result
The reviewer did not write the code and evaluates the shipment against the original outcome.
Control extends to the boundary.
Org is designed for software delivery across separate workspaces without asking you to surrender the systems, credentials, or authority that make production yours.
Your repositories
Org connects to the codebases you already own.
Your model keys
You bring the providers and keys the organization may use.
Protected secrets
The platform never holds your production secrets in plaintext.
Attributed actions
Every action and approval is recorded for audit.
Spend is capped per workspace before autonomy becomes exposure.
Budget policy · enforcedBuy delivery capacity without rebuilding headcount.
Bring your own model keys and set spend caps per workspace. Org gives leadership a governed delivery layer while keeping model usage and release authority under your control.
Pricing model
Platform access + controlled model spend
Request access to map the operating model to your repositories, workflows, and governance requirements.
Request accessQuestions a CTO should ask.
The important difference is not how much code an AI can write. It is who controls the organization and what counts as proof.
How is Org different from an AI coding assistant?
A coding assistant helps an individual produce code. Org operates the delivery layer around leadership: specification, planning, parallel implementation, review, QA, security, database work, deployment, and independent verification.
Does Org replace the CTO or product team?
No. Your CTO and product managers keep direction, architecture calls, security policy, approvals, release authority, and budget. Org runs the delivery organization beneath them.
How does governance work in Org?
Your CTO and product managers retain direction, architecture, security policy, approvals, release authority, and budget control. Role-scoped AI, human, or hybrid seats execute within those boundaries; required checks fail closed, every action is attributed and audited, and an independent reviewer verifies the live result before the work counts as done.
Can people remain in the loop?
Yes. Every seat can be AI, human, or AI-drafts-human-approves, so you decide where people stay involved.
What happens when a check fails?
Required typecheck, lint, test, security, and review gates fail closed. They cannot be talked around to make a run appear complete.
Who verifies the result?
A separate reviewer that never wrote the code checks the live result against the original outcome before the work counts as done.
Who owns the repos and model accounts?
You do. Org connects to your repositories and uses your model keys. Production secrets are not held in plaintext.
Run the Org. Keep the authority.
Tell us what your delivery organization needs to handle. We’ll walk through how Org would compose the team, set the gates, and prove the result.
org-me.ai