Fenergo has launched Fen-AI, an orchestration platform designed to help financial institutions deploy AI across client lifecycle management while retaining human oversight, policy controls and an auditable record of decisions.
The platform supports Fenergo’s KYRA family of AI agents, which can carry out tasks across client onboarding, periodic reviews, ongoing monitoring and material changes to client records.
Fenergo said Fen-AI was developed in response to financial institutions’ need to increase the capacity of Know Your Customer (KYC), Anti-Money Laundering (AML) and client lifecycle management (CLM) operations without weakening governance. The company works with more than 110 financial institutions, including over 40% of the world’s 50 largest banks.
“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.” Marc Murphy, Founder and CEO, Fenergo.
Fen-AI is built on Fen-X, Fenergo’s Legal Entity System of Record. Actions taken by KYRA agents, along with the underlying sources, decisions and rationale, are recorded as work is completed. This is intended to give firms a traceable account of how automated decisions were reached and provide evidence for internal assurance and regulatory review.
Fenergo describes this extension of Fen-X as a “Continuous System of Control”. Fen-X supplies client data, regulatory policy logic and decision evidence, while Fen-AI governs how AI agents access and act on that information. KYRA agents then perform tasks within controls established by the institution.
Connecting Agents Through a Governed Interface
Fen-AI includes an Agent-to-Agent (A2A) Interoperability Framework that allows institutions to connect Fenergo agents with approved internal and third-party agents.
The framework uses the Model Context Protocol (MCP) and A2A interoperability to authenticate requests, maintain client and workflow context during handovers and attribute completed actions to the relevant agent or system.
The results are written back to the Fen-X system of record and captured in what Fenergo describes as an immutable evidence trail. The approach is intended to allow firms to add new agentic capabilities without losing visibility over how work moves between agents, applications and data sources.
Fen-AI also provides operational reporting designed to show where agents are contributing capacity. Metrics include completed tasks, analyst hours returned, manual activity avoided, throughput, entities covered and workload by capability.
“AI in financial institutions will succeed only if it’s built on trust. Regulators will not accept ‘the AI decided’ as an answer. That is why we built governance into the foundation of Fen-AI from day one. Every action is attributable. Every decision is explainable. Every outcome is anchored to a trusted system of record. We are creating a new category for regulated industries: the governed agentic workforce.” Hishaam Caramanli, President and COO, Fenergo.
The first release of KYRA includes six agents focused on routine client-lifecycle tasks. Fenergo said further Fen-AI capabilities would be introduced in the coming quarters.
Fen-AI and the initial KYRA automation agents are available to Fenergo customers globally.
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