Make your next AI initiative the one that ships.
Most AI pilots produce demos, decks, and nothing in production. Couldi gives your teams a governed way to build real software — and gives you the visibility to know what it costs and what it returns.
The honest part
Why AI pilots stall.
No path to production
No governance, so IT blocks it
No cost or value accounting
Everyone piloted separately
Coordination
Stop paying three times for one dashboard.
Couldi reads the plan behind every project your org builds here — and the tools you have catalogued — and groups them by what they are for rather than what they are called, so “Ops Tracker” and “Delivery Status Board” come back as one cluster with an explanation of why. An admin can generate a written recommendation for what to keep and what to retire. Couldi never retires anything itself: you decide, and it records that you did. Turn on the pre-build warning and a builder is told “this may already exist” at the moment their plan is approved, before a line is written. Pro and Enterprise.
Governance
Your people build. You see everything.
Couldi applies whatever your org decides — permitted request types, restricted topics, and the languages, libraries, APIs, and data sources your teams are allowed to use — across every user and every project. AI runs, deploys and audits are time-stamped in an audit trail with the person who ran them. Org admins can run an automated security audit, checked against a catalog of best-practice rules. Policies apply automatically, so IT does not need to vet each request.
Org-wide policies
Per-user limits
Who ran what
Security audits on your criteria
Know the cost. Show the value.
Every build is attributed to the user who ran it. Admins see per-user and per-project spend in a single dashboard — no invoice archaeology, no surprise bills. Credits are predictable — every plan includes a monthly grant. Top-up packs are an explicit purchase if you need more; nothing bills automatically.
Better ideas reach engineering.
When a specialist builds their own internal tool in Couldi, they never need to file a ticket or wait in the engineering backlog. When an idea does need real engineering — something too large or too critical for self-service — Couldi produces a working prototype alongside a written product requirements doc and technical plan. Your engineers evaluate a running app and a real spec, not an abstract request.
See it working on one of your team's real problems.
Leave a work email and we'll set up a demo for your team.