Enforces work-readiness gates by tracking project plots, plans, stakeholder views, slots, stops, and journal entries via REST and MCP, with LLM-based plan agreement and result verification.
A governance and control layer for MCP tools that manages tool requests as intents through policy-based approval, queuing, or blocking. It enables secure human oversight and audit trails for consequential agent actions across platforms like Claude Desktop and Cursor.
Enables AI agents to gate real-world side effects through a durable decision record, ensuring at-most-once initiation, deduplication, budget enforcement, and auditable outcomes across retries and failures.
Provides a typed compliance model and governance runtime that lets AI draft policies, assess controls, find framework gaps, and build verifiable audit trails across frameworks like ISO 27001:2022, SOC 2, GDPR, NIST CSF 2.0, and HIPAA. Every write is gated by a server-side verifier and human approval, producing a tamper-evident record.
Enables structured role-to-role handoffs and merge gating for multi-agent collaboration. It persists evidence and computes approval gates without invoking LLMs.