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
Governance
Your people build. You see everything.
Couldi enforces 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. Every change to every project is time-stamped in a full audit trail. Your org can require an automated security audit — checked against a catalog of best-practice rules — to pass before a project ships. Policies apply automatically, so IT does not need to vet each request.
Org-wide policies
Per-user limits
Audit trail on every change
Security audit as a deploy gate
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.