One governed lifecycle, many products
agI3R governs the delivery lifecycle around whatever your agents build — vendor-neutral, across GitHub and Azure DevOps. The value is the same everywhere: move at the speed of AI, keep humans in control of every decision that matters.
Ship customer-facing features at AI speed while keeping a reviewed, auditable trail of every change — the record your customers and auditors expect.
Design and evolve databases across major datastores under governance, with reviewed migration plans and destructive changes never applied by surprise.
Every AI action is attributed to a licensed person and recorded tamper-evidently; higher-risk changes get an extra security review before a human decides.
Onboard an existing repo, inventory it in minutes, and standardize how work gets built — reusable components and your own conventions, applied automatically.
Starting with no repo at all: a charter interview captures the product, the platform creates the repository at your provider, and the first scaffold arrives as a gated proposal — governed from the first commit.
Turn scattered TODOs and docs into a shared, sized backlog — and let the platform learn your codebase so new AI work matches the house style.
Keep everything inside your network: agent execution, the knowledge base, and the vector search index can all run on your own servers. Your code and docs never leave your walls.
Route each task to the right-priced model — cost-effective or open-source for low-risk work, top-tier where quality matters — and watch spend per task.
See it on a real product
Two established products, onboarded and governed end-to-end.