AgentPM is a governance runtime for autonomous agents that spend money. Delegated budgets, policy enforcement, human escalation, and full audit trails.
AI agents need to spend money. They need to call APIs, deploy code, buy domains, hire other agents. But giving an autonomous system a wallet with no constraints is dangerous. AgentPM is the governance layer between the agent and the money.
Agent requests payment
The pipeline identifies a provider and quotes a price. Before any money moves, the request enters the governance engine.
Policy evaluation
5 possible verdicts: APPROVED, DENIED, ESCALATE (halt for human), DOWNGRADE (find cheaper), REROUTE (try different approach). Not just pass/fail.
Budget enforcement
Per-agent budgets, per-transaction limits, daily caps, session budgets. The pipeline physically stops when limits are hit. Remaining stages are deferred, not crashed.
Human escalation
When risk is high, the pipeline halts and presents an interactive approval card. You see the exact cost, budget impact, risk score, and alternatives before approving.
Provider comparison
For every stage, multiple providers are scored on cost, quality, latency, and reliability. The rejected options are logged. You can see why each decision was made.
Full audit trail
Every decision, every denial, every reroute, every payment. Downloadable as JSON. Complete forensic replay of the agent's spending behavior.
5-Verdict Engine
APPROVED, DENIED, ESCALATE, DOWNGRADE, REROUTE
Delegated Budgets
Each sub-agent gets a scoped spending cap
Strict Mode
One toggle to require approval on every payment
Risk Scoring
0-100 risk score on every transaction
Budget Guard
Pipeline stops when budget would be exceeded
Partial Completion
Graceful degradation, not crash
Provider Scoring
Cost, quality, latency, reliability comparison
Approval Cards
Interactive approve/deny with budget impact
Audit Export
Full JSON trace of every decision
Quality Gates
Auto-retry with better provider if quality is low
Chain Restrictions
Only allowed networks can receive payments
Category Controls
Restrict which tool types agents can use
Agent Spend Governance and Identity, with deep support from Tracks 3 and 4.
Spend Governance
Primary. Delegated budgets, 5-verdict policy engine, escalation gates, audit trails, partial completion, strict mode, risk scoring.
Pay-Per-Call
Every provider quoted and scored. Economic reasoning drives selection. Payment intents with signed EIP-712 authorizations.
Multi-Agent
Overseer delegates to sub-agents with scoped budgets. Agents can be constrained or revoked. Hierarchical authority model.
Most agent demos are ungoverned: the agent has a wallet and spends freely. AgentPM puts the operator in control. Every payment goes through a governance engine. Every decision is logged. Every risky action requires human approval.
The system doesn't just check budgets. It evaluates risk, compares providers, considers downstream budget impact, and can automatically downgrade to cheaper alternatives when budget pressure rises. When it can't complete everything, it finishes what it can and defers the rest.
This is the control layer enterprises would need before deploying autonomous agents that spend real money.