Safe authority for autonomous agents
We enable businesses to let autonomous AI agents handle transactions and operations autonomously — with built-in controls, audit trails, and financial limits.
Non-custodial · On-chain enforcement · Auditable receipts
Reduce risk with built-in financial guardrails
Customize exactly how agents can transact
Audit every action with full control
Control autonomous agents
with explicit authority
The biggest risk of autonomous agents isn't intent — it's unrestricted access. Giving an agent your credentials is like handing over your wallet.
Intent Layer lets agents act within explicit limits, so outcomes improve while risk stays contained.
Define rules
Set budgets, approved venues, assets, and time windows.
Agent proposes an action
The agent requests to execute a transaction or payroll task.
Intent Layer enforces policy
Requests are validated against your predefined controls.
Execute or block
Compliant actions execute automatically; exceptions require approval.
Demo
See the agent integration in action — how an AI agent inspects, requests, and executes within bounded authority.
Intent Layer MCP Demo
An agent uses MCP tools to inspect, request, and execute — all within bounded authority.
Want early access to Intent Layer?
We work with a small number of design partners building agent systems with bounded authority during the early rollout.
Want to know how it actually works?
Intent Layer separates authority from execution. Policies are enforced on-chain, executors hold no custody, and every action produces a verifiable receipt.
Explore the authority model →