The AI Governance Ledger is the missing layer between infrastructure and orchestration. Nobody else is building it.
Explore the StackEvery organization running AI today is making the same infrastructure decisions. Which model? Which provider? Cloud or on-prem? These are real choices with real costs — and the market to solve them is crowded and getting more competitive every day.
Bedrock. Azure. Nemo. NodeShift. Getting commoditized. Fast.
Above that sits the orchestration layer — the platforms that wire models together into workflows that do real work. This is the citizen developer revolution. Describe what you want. The system builds it.
Organizations are deploying thousands of agents. The productivity gains are real.
Before a workflow is built, it gets a contract. Which models are eligible — and why. What data constraints apply. What the pre-validated fallbacks are. That record is generated automatically, as a byproduct of how the system builds. Not a documentation exercise. Not a retroactive audit trail.
Governance records are created as a byproduct of the build process, not as a separate documentation exercise.
A structured record of every governance decision — from design through approval to runtime proof.
When a regulator asks why you chose that model, the answer is already written. Automatically.
When something changes — a model deprecated, a provider repriced, a regulation updated — the ledger already knows which workflows are affected and which alternatives are pre-validated.
Every workflow node is wired to the right model through a governance contract, not a guess.
Swap in minutes. Not months.
"Forrester called this the missing layer — the integration that is nobody's job yet."
We published a starting point.
The race is on.