Any AI. Clear human authority.
Govern intelligence.Preserve human decision.
AI can recommend and act. Who decides what it is allowed to do?
ADL is designed to check proposed actions against your rules, bring in the right person to decide, and keep the decision record across AI models, tools and workflows.
AI recommends. People authorize.
SIMULATION · SYNTHETIC DATA · NO LIVE ENFORCEMENT
One request. Clear authority. A record.
Try a supplier payment. Then change the bank details and see why the earlier approval no longer covers it.
- 1
AI proposes
Pay Harbor Parts Co. $84,500 to account •••• 4417.
- 2
ADL checks the rules
The destination must match the approved vendor record and prior authorization.
MATCH · evidence and prior authorization cover 4417.
- 3
A named person decides
Maya Chen · Finance Controller
Fictional approver. You control her decision in this example. - 4
Inspect the decision record
READY · human decision required
Make a decision to record the fictional approver’s choice.
Inspect sample receipt · SIM-FIN-0042
- Request / revision
- Supplier payment · $84,500 · r1
- Rule / evidence
- DEMO-RULE-01 v1 · Approved vendor record v12
- Prior authorization preserved
- Maya Chen · 4417 · October 21, 2026
- Current destination
- 4417
- Human decision
- Pending
- Recorded time (UTC)
- Awaiting human decision
- Result
- READY · human decision required
Local copy only. Reset or reload clears this example; no audit record is saved to a server.
Illustrative payment workflow—not a customer result. No payment is executed or intercepted. A sample receipt shows what is recorded; it does not prove live enforcement. ADL’s scope spans AI models, tools and industries.
A focused first engagement
One workflow. Clear limits. A result you can inspect.
Agree the scope, success criteria and fee before work begins.
Any intelligence can connect. No intelligence governs itself. Explore examples →