Governed AI delivery teams for enterprise software work.
Mission Control turns business demand into approved, auditable work packages. AI workers execute in controlled lanes. QA evidence and policy gates decide what can move forward.
Not autonomous coding chaos — a governed enterprise delivery factory where AI workers are controlled execution lanes.
From idea to canonical, with the work shown.
The same six stages run for every delivery — whether the worker is a human, an agent, or a team of both.
Business demand becomes a Project Intake Package with scope, value, and acceptance criteria.
A human approves. The approval is hashed into the audit chain.
Mission Control breaks the PIP into work packages a worker can pick up.
Inside a supervised window, packages are allocated and dispatched to bounded workers.
Workers run in sandboxed lanes, against approved tools, against approved models.
QA evidence is generated, policies are evaluated, results are promoted into the canonical store — or rejected.
Enterprise controls, on by default.
The point of Mission Control isn't the AI — it's the discipline around the AI. These aren't roadmap items; they're shipped controls in the current product.
Every piece of work starts as a Project Intake Package — scoped, reviewed, and approved before any code is written. Releases ship as governed packs, not loose commits.
Role-based access enforced on the server, not just in the UI. Closed registration after the first user; invite-token bootstrap for the rest.
Every decision, approval, dispatch, and promotion is recorded in a hash-chained ledger. The history can be replayed and verified.
Releases pass through policies expressed as code, not slide decks. The same rules run in dev, staging, and prod — and they're reviewable.
No worker runs without an open, supervised dispatch window. The control plane decides; workers execute inside the lane.
Workers run with a baseline sandbox manifest, bounded workspace, and an explicit environment allowlist — with a roadmap toward fuller container/VM isolation.
Behind your firewall. Where the data already lives.
Mission Control is built to run on hardware you control. A dedicated control plane orchestrates lightweight worker lanes and heavier GPU lanes for code generation. Local models handle what shouldn't leave the network; frontier models are available when the work earns them.
The result: enterprise-grade AI delivery without giving up control of your code, your data, or your audit trail.
Want to see Mission Control in motion?
We'll walk you through the live system, the audit ledger, and a real delivery pack from intake to canonical promotion.
Book a walkthrough →