The neutral &
control layer for
production AI
agents.
Local / staging proof. Not a production SLA. Not SOC2. Not a guaranteed-savings claim.
Control every request
before it reaches production.
Neutral Control Layer
Route agent requests through one governance layer for identity, attribution, budgets, access policy and audit.
Budget Gate
Block over-budget requests before provider execution and stop spend leaks at the source.
Identity & Attribution
Attach every request to an agent, workspace, team or customer for clean ownership.
Routing & Audit
Choose the right provider or model and write a usable ledger row for every call.
Control the agents
your teams already build.
Let teams build agents anywhere, while TokenPilot applies identity, budget, routing, access policy and audit from one layer.
Agent & workspace attribution
Attach every request to an agent, team, workspace or customer before execution.
Budget gates & spend control
Stop over-budget calls before the provider is reached and keep spend predictable.
Provider & model routing
Route each request to the right model or provider based on policy, cost and risk.
Ledger & audit trail
Write a usable record for every call, with status, model, cost, latency and policy result.
From request to audit
in four steps.
Receive
An agent request enters TokenPilot before any provider call is made.
Identify
TokenPilot attaches the request to an agent, workspace, team or customer.
Policy
Budget, access and routing policy are checked before execution is allowed.
Audit
Every decision is logged with provider, model, cost, latency and status.
Route every request.
Log every decision.
TokenPilot sits between agents and providers so teams can enforce policy, budget gates, routing and audit from one layer.
Access control layer
Apply rules before a provider is called, based on agent, workspace, customer or task type.
allowIf({
budget: 'ok',
identity: 'known'
})
Every request writes a trace with provider, model, policy result, cost and latency.
Trace every request.
Prove every decision.
TokenPilot writes a usable ledger for every request so teams can see who called what, why it was allowed or denied, and what it cost.
Runtime enforcement
Policies are checked before provider execution, not after the fact.
Audit ledger
Every call leaves a trace with request, model, status, cost and latency.
Observability
Monitor, investigate and reconcile request paths across teams and workspaces.
Illustrative sample of the event sequence — not live data.
Built for controlled production AI.
Designed for teams that need proof.
Watching every request
while it runs.
TokenPilot gives teams live visibility into agent requests, policy decisions, routing, and audit outcomes across production workflows.
Choose the access
that fits your team.
For teams validating the control layer
- Core runtime governance
- Private beta onboarding
- Proof walkthrough
- Email support
For teams shipping agents in production
- Identity & attribution
- Budget gate
- Routing policy
- Audit ledger
For larger deployments and procurement
- Workspace governance
- Tool policy
- Role controls
- Private conversations
Apply for private
beta access.
Get early access to the TokenPilot control layer and help shape how teams govern production AI agents.