Fenergo, a provider of digital solutions for know your customer (KYC), anti-money laundering (AML) and client lifecycle management (CLM), has launched Fen-AI, its agentic AI orchestration platform for financial institutions.

Working with more than 40% of the world’s top 50 banks and over 110 financial institutions, Fenergo purpose-built Fen-AI to enable institutions to automate lifecycle work while maintaining human oversight, applying consistent policy controls and preserving a complete audit trail, according to a statement by the firm.

“Financial institutions don’t have an AI problem. They have a scale problem. Risk moves in real time and regulation evolves continuously. Yet the work of compliance still depends on review cycles built for a slower world. Fen-AI changes that. We’re enabling institutions to move from periodic control to continuous control, delivering faster client onboarding, greater operational efficiency and stronger compliance without increasing risk or headcount,” said Marc Murphy, founder and CEO, Fenergo.

Fen-AI powers KYRA, Fenergo’s governed agentic workforce, which coordinates AI-driven activity across client onboarding, periodic reviews, ongoing monitoring and material client changes. Built on Fen-X, Fenergo’s Legal Entity System of Record, every action, source, decision and rationale is recorded as work takes place, within Fen-AI. As a result, financial institutions can increase the speed and capacity of their CLM and KYC operations while keeping outcomes traceable, explainable and ready for regulatory review.

Fen-AI extends the Fen-X Legal Entity System of Record into a Continuous System of Control. It provides authoritative client data, regulatory policy logic and decision evidence and coordinates how AI capabilities access and act on that information. From there, KYRA executes and supports the work within defined governance boundaries.

Through Fen-AI’s Agent-to-Agent (A2A) Interoperability Framework, financial institutions can securely connect Fenergo, and approved client and third-party agents through a single governed interface. The platform uses Model Context Protocol and A2A interoperability to authenticate requests, preserve client and journey context across handoffs, and attribute each completed action.

Outcomes are anchored to the Fen-X Legal Entity System of Record and captured in a governed, immutable evidence trail. This framework allows institutions to introduce additional agentic capabilities while retaining visibility and control as activity moves between agents and systems.

Fen-AI also provides operational reporting on the value created by agentic capabilities. Teams can monitor completed tasks, analyst hours returned, manual activity avoided, throughput gained, entities covered and workload by capability. These insights help institutions identify where agents are increasing capacity and where additional automation or controls may be required.

KYRA is Fenergo’s family of governed AI agents powered by Fen-AI. The initial release includes six automation agents designed to support routine operational tasks across the client lifecycle, reducing manual effort while maintaining governance and auditability. Additional Fen-AI capabilities will be introduced in the coming quarters.