Governed output infrastructure for high-accountability environments.
An output-layer framework where AI results are represented as compact, structured artifacts—validated against constraints, logged with traceability, and rendered reproducibly.
Instead of treating AI output as opaque text, CAM makes review and oversight first-class.
Most AI tooling optimizes for generation speed. CAM Protocol optimizes for what happens after generation: review, approval, audit, and deployment.
AI adoption stalls not because models can't produce—but because organizations can't approve, trace, or defend what models produce.
CAM works across providers.
No conversational UI. Protocol layer only.
Artifacts, not prompts.
Constraints applied during production.
Model output (any provider)
Structured artifacts + constraints
Reviewable, auditable, deployable
High-stakes or regulated environment? Governance blocking adoption? Let's talk.