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Reference architecture for AI agents that propose actions but cannot authorize them — immutable intent capture, an independent Decionis policy verdict (ALLOW/ESCALATE/BLOCK), verified human approval, and a SafeExecutor that consumes a single-use intent-bound grant.
Signal capture and decisioning for customer operations teams — correlate usage, support and CRM evidence, surface churn and expansion before the customer calls, and route every operator review through a Decionis policy verdict.
Decionis MCP policy tools and native Claude Code, Codex, and Copilot execution hooks — evaluate agent actions against DECIONIS_POLICY.md before they run. npx -y --package=@decionis/mcp decionis-mcp