The problem: obligations grow faster than compliance teams.

Every cycle brings new regulatory expectations, and every audit asks the same hard question: show us the evidence. In most institutions that evidence is scattered — across core systems, policy documents, spreadsheets, and inboxes — and assembling it consumes the very experts who should be managing risk. Cloud AI tools could help, but compliance data is precisely the data that cannot leave the building.

Intelligence inside the perimeter.

iCompliance brings AI to compliance work the only way a regulated institution can accept it: deployed on your infrastructure, air-gapped where required, with nothing sent outside. The platform helps teams read and map regulatory obligations against internal policies and records, and answer with sources attached — so a finding always points back to the document it came from.

Evidence, not effort.

Every interaction leaves an audit trail designed to be shown to a supervisor: who asked, what was retrieved, which sources supported the answer. The goal is simple — when the auditor arrives, the evidence is already organized, traceable, and inside your own walls.

Built on the principles everything IOTA ships on.

Like iChat, iCompliance follows IOTA’s platform rules: single-sign-on identity, role-based access, server-side enforcement, offline cryptographic licensing with monthly evaluation and yearly production plans, and an open, provenance-clean technology stack. If it needs the internet, it doesn’t ship.

iCompliance is available for evaluation inside your own perimeter — talk to us about a pilot scoped to one regulation, one team, and your own documents.