Works with your stack
The chain-of-command problem
A Singapore clearing agent receives an instruction from a Tokyo orchestrator. It can verify the instruction came from another agent. It cannot verify that a human authorised it, that the amount is within limits, or that the counterparty passed the right checks — unless something upstream enforced those controls and left proof.
Four failure modes. All silent. All undetectable at the point of execution.
Tokyo · Orchestrator Agent
"Execute settlement · ¥420,000,000 · Counterparty XY"
Singapore · Execution Agent
Identity verified. But: sanctions? Limits? Human approval?
No way to know. No proof exists.
External Settlement System
Executed. Irreversible. £2,800,000 moved.
How it works
Enterprise approval at the decision point — not inside the agent prompt, not reconstructed after the fact.
Your AI agents connect to AIIAN via API or SDK. No changes to agent logic required. Works with any agent framework.
AIIAN applies your organisation's approval, risk, and compliance processes to each action before it reaches production. Policy stays with the enterprise.
Approved actions proceed. Actions outside policy are stopped. Every outcome is available for internal review, audit, and regulatory response.
Policy is controlled by the enterprise — not embedded in the agent. Every decision is recorded.
What AIIAN provides
One layer above all agent frameworks. The same enterprise controls — regardless of what stack your agents run on.
Connect important AI-initiated actions to your organisation's control process before they affect real systems.
AIIAN helps ensure AI agent activity stays within the boundaries your organisation has defined — across all agents, not just some.
Every action — approved or stopped — is recorded for governance, regulatory, and internal review. Ready when you need it.
Apply consistent enterprise controls across multiple AI agents, regardless of which framework or vendor they run on.
Configure which actions require human review before proceeding. Reviewers see the full context and record their decision.
Test realistic AI agent scenarios against your enterprise controls before connecting production systems. No production risk required.
AIIAN Cloud Sandbox
Test realistic AI agent action scenarios against enterprise controls — without connecting production systems. Understand your control coverage before it matters.
Sandbox scenario · Settlement agent
Action
Large payment · Cross-border · New counterparty
Enterprise controls applied
Amount limit · Counterparty check · Approval routing
Audit recorded
Audit recorded
Regulatory compliance
ICT risk management for EU financial entities
Algorithmic trading controls & audit trails
Operational risk & internal controls framework
Japan & UK financial services governance requirements
Designed to support audit, risk, and governance conversations in regulated environments.
Get started
Active pilot with regulated financial institutions. Settlement, FX, procurement, contract commitments — if your agents execute high-consequence actions, we want to talk.
Pilot access is by invitation. We respond to every request personally. No sales funnel.
Initial focus: financial institutions operating under DORA, Basel III, MiFID II, and J-SOX.