PylotTwo enforces configurable spend policies — budget floors, per-call limits, vendor whitelists — so agents buy what they need and nothing more. Autonomous decisions. Full audit trail. Zero surprises.
Set budget caps, per-call limits, allowed vendors, and escalation rules. No code. No YAML wrestling.
Agent calls Pylot before any external API purchase. Pylot approves, rate-limits, or pauses — then executes.
Real-time spend dashboard, per-agent breakdowns, and anomaly alerts. Know exactly what your agents are buying.
Every purchase call hits the Pylot decision engine. Within milliseconds, it resolves against your configured policies and returns: ALLOW, DENY, RATE-LIMIT, or QUEUE FOR REVIEW. No human in the loop — unless you want one.
Agents stop waiting for human approval on every call. Pylot handles it — within policy, every time.
A single hallucination-prone call shouldn't cost $50,000. Policy is the control plane — not a prompt.
Every decision logged, every dollar tracked. Know which agents call which APIs and when. Regulatory-ready audit trail.
Watch spend happen. Get alerted on anomalies. Pause or adjust policy without redeploying your agents.
"Six months ago, an AI agent could not purchase a $0.003 API call without a human approving the transaction. Now it can — and it will, thousands of times an hour, on your behalf. The only question is: do you trust it?"
We built Pylot because agents that spend autonomously need the same rigor as agents that execute code. Without a policy layer, you're not running AI — you're running on faith. Pylot is the control plane. The policy is the product.
Pylot is the policy layer between your AI agents and every dollar they spend. Configure once. Trust indefinitely.