Infrastructure that authorizes AI actions before they execute.
Keon Systems is the governance layer between AI intent and real-world action. Before an AI system can call a tool, change state, trigger a workflow, or affect infrastructure, Keon evaluates policy, issues a decision, and either authorizes the action or fails closed.
If authorization is missing, execution fails closed before the effect boundary.
Keon Spine is the causal record that binds decisions, receipts, outcomes, and supporting evidence into an inspectable chain. Select any step to see what it is and how it shows up in a governed action.
The same chain can be projected into governed memory later, but receipts and spine events remain the source of truth.
A signed record stating whether the intent is authorized, under which policy, and by whom.
keon:decision:retention:00041, authorized under FIN-RETENTION-4.2.
Consequential AI Execution Standard — defines how consequential AI actions are authorized before effect.
Controlled Policy Protocol — defines how policy decisions are determined deterministically.
Keon Systems is a CAES v0.2.0 reference implementation for Governed Execution. This is a draft standard. No external validation, blanket scope alignment, or final-standards status is implied.
Logs tell you what happened after the fact. Guardrails try to steer behavior without authority. Keon decides whether the action is allowed before it happens, and the receipt proves what was decided, under which policy, and with what authority.
Keon is model-agnostic and platform-agnostic. Before execution, prove authorization.
AI proposes. Keon decides. Execution waits.
Frameworks like LangGraph, CrewAI, and OpenClaw make autonomous agents easier to deploy. Keon exists for the boundary those systems still need: authorization before effect.
MCP is the primary integration. Any AI or tool path can route through the MCP Gateway and inherit Keon's authorization, receipts, and fail-closed enforcement.
No side door. No silent bypass.
If it routes through the boundary, it is governed.
Standard governance boundary. Route MCP traffic through Keon.
For services, platforms, and remote agents.
For local and agent-side processes.
For local development and agent workflows.
Lightweight Python, TypeScript, and C# helpers. SDK is not required to govern AI.
See the decision, policy hash, receipt chain, and evidence pack behind a deterministic governed-action example.
Authorization, receipts, and fail-closed enforcement at the boundary between intent and effect.