Local: free with CLI, SDK, local proxy, and MCP wrapper. Founding Team: $499 per month after a 30-day pilot, including guided setup, hosted approvals, team dashboard, verified ledger sync, and direct support.
Key features
Context Graph of Work - continuously updated model of how work gets done across enterprises
Blueprint for AI roadmap planning with defensible ROI recommendations
Process Intelligence to identify bottlenecks and prioritize automation
Engineering Intelligence for unified view of developer work
Work-aware agents grounded in real operational context
Zero-integration capture across legacy and modern systems
In-environment processing with data staying in customer perimeter
Agentic Operating Procedures for governed agent execution
Audit logs and compliance tracking for every agent decision
Built on 25B+ events from 500+ observed processes
Exact payload binding and hash verification
Policy engine with Cedar and Rego support
Local enforcement proxy and CLI
Hosted approvals dashboard and team coordination
Verifiable action ledger with audit trail
Model Context Protocol wrapper
Support for GitHub, Slack, Linear, Jira and cloud platforms
Runtime integration with Anthropic, OpenAI and Cursor
Credential-free playground and examples
ActionPass signed authorization artifact
What makes it different
Observes actual work at scale across enterprise systems rather than relying on assumptions or documentation
Delivers AI agents that work in production at scale, not just pilots
Provides measurable ROI and audit trails for AI spending and decisions
Privacy-first architecture keeps sensitive data within customer environments
Payload approval bound to exact hash, not summary—changes after approval are automatically rejected
Local enforcement with credential-free operation before team coordination layer
30-day pilot model with no long-term commitment required
Open-source ActionPass artifact and verifier for transparency
Adapter-side verification prevents tool execution after payload tampering
Skan AI
Axtary