How quickly can this solution pattern be piloted?
Most teams start with one bounded workflow, validate controls and telemetry, and then expand to additional execution lanes.
Solution Page
Add a Governed On-Chain Wallet to Any AI Agent Framework in 3 API Calls
Add governed on-chain execution to AI agent frameworks without becoming a blockchain team or building key management, signing policy, and compliance controls from scratch.
DeAgenticAI's Agentic Control Plane enforces cryptographic policy over AI agent authority — separating what an agent can do from what it is authorized to do — in Web3 and enterprise financial environments.
Implementation Path
Intent → Policy → Audit → Execution
A governed workflow from policy design to auditable autonomous execution.
How do you implement this?
A practical sequence from authority design to controlled production rollout.
-
1
Define authority boundaries
Map which agent actions are auto-approved, escalated, or blocked for this ICP context.
-
2
Apply policy and risk controls
Encode policy constraints and risk checks before any signing path is executed.
-
3
Integrate signing and observability
Wire execution to governed signing and monitor approvals, denials, and anomalies.
-
4
Validate and expand safely
Run staged rollout checks and expand coverage once audit and control outcomes are stable.
Implementation Case Study
Operational outcomes, governance decisions, and measurable impact from a real-world deployment pattern.
Frequently Asked Questions
What should remain human-governed?
Strategic policy changes, emergency overrides, and exception approvals should remain under explicit human governance.
How does this page connect to compare evaluations?
Use compare pages to validate tradeoffs before implementation and align architecture decisions with risk tolerance.
What evidence should be captured from day one?
Capture policy decisions, blocked intents, signing outcomes, and escalation events for audit and operational tuning.