Governed routing
Every agent request routes through the same path: context load → policy evaluation → approval gate → execution → evidence record. No ungoverned back doors.
GRIFFai Agent Traffic Control
Every agent action, through one governed path.
ATC is the control tower for your AI fleet: agents request, the platform evaluates, people approve what matters, work executes, and the evidence writes itself. Watch it run live below.
See a governed mission run end to end.
One button, five steps, about six seconds: an agent asks to do work, policy blocks the risky part, a human approves, the work runs, and a tamper-evident receipt seals it. Every step explains itself as it happens.
One governed mission
“Draft a customer escalation summary from safe demo data, block external send, require approval, and seal the receipt.”
Tenantpublic-demoRiskTier 3 — approval requiredModeDeterministic simulationSafetyNo secrets · no live sends · no spend
01Agent requests work
AI agentThe agent asks to draft a customer escalation summary. Nothing runs yet — the request itself is logged first.
02Policy engine evaluates
GRIFF policy engineSafe drafting is allowed to proceed. Risky actions — emailing the customer, touching secrets, spending money — are blocked before they can happen.
03Human approves
Named approverBecause this task is risk tier 3, a named person must approve before results leave the platform. Everyday low-risk work skips this gate.
04Work executes
GRIFF runnerThe runner drafts the summary inside the boundary the policy set. It cannot exceed the approved scope.
05Receipt sealed
Audit chainEvery event is hashed into a chain — each hash includes the one before it, so any tampering breaks the chain. The receipt is yours to download.
Specifications
What ATC enforces, out of the box.
Human approval gates
Sensitive classes — external sends, spend, credentials, production changes — pause for a named approver. Everyday work keeps moving.
Shared operating context
Claude, ChatGPT, Gemini, Grok, custom agents, and MCP apps work from the same current state via GRIFF Brain — handoffs preserve decisions and evidence.
Evidence by default
Request, context, approvals, actions, outputs, and outcome recorded as work happens — replayable and exportable for reviews, customers, and auditors.
Budget & usage control
Model calls attributed per workspace with budget posture visible in the Control Center — spend is a governed input, not a surprise.
Deployment freedom
The same ATC model runs cloud-connected, hybrid, or self-hosted — the operating model stays constant while the data boundary moves.
Don’t take the demo’s word for it.
A full 76-minute governed agent session is published with hash-backed replays and the complete written audit — inspect exactly what ATC recorded.