The A.I. agents are intended to cut the cost of client lifecycle management and financial crime prevention.
Fenergo, a client lifecycle provider specializing in KYC and AML support, is embracing agentic artificial intelligence (A.I.) to help financial services firms better manage “spiraling operational costs” and compliance requirements complicated by geopolitical tensions and regulatory changes.
The new A.I. agents as part of Fenergo’s FinCrime Operating System (OS) could reduce know your customer (KYC) and anti-money laundering (AML) operational costs by 93 percent because it helps firms cut operational costs “by automating tasks,” say officials who add that the FinCrime OS offering could also shrink periodic review times by 45 percent and facilitate 72 percent faster document handling.
FinCrime OS will be leveraging agentic A.I. to unify “all client lifecycle events — onboarding, KYC, screening, identity and verification (ID&V), and transaction monitoring – on a single platform,” officials say.
Officials add that the “initial six autonomous A.I. agents” will carry out tasks “quickly, accurately, and with full auditability,” and are intended to help firms “automate tasks, gain real-time insights, and maintain full control and governance.”
The just-released A.I. agents are:
- The Data Sourcing Agent pulls data “from one or more third-party data providers, compares against entity data, and auto-completes tasks;”
- The Screening Agent “runs screening checks against third-party integrations, auto-resolves hits, and returns results to providers;”
- The Document Agent “extracts, classifies, and links documents using A.I. to automate document-management processes;”
- The Significance Agent “performs a check against data changes to determine significance to define next action;”
- The Autocompletion Agent “automates the completion of tasks based on pre-defined rules, policy, and configured guardrails;” and the
- The Insights Agent is what Fenergo calls its “co-pilot, allowing users to interact with all operational, policy, and entity data through natural language and harness real-time insights on process efficiency, operations, and risk.”
The six new A.I. agents are intended to streamline KYC reviews “by autonomously handling tasks like data reconciliation, document classification, and risk screening,” officials say. “This reduces manual effort and backlog, enabling proactive, intelligent workflows and allowing compliance teams to focus on high-risk exceptions.”
The agentic A.I. approach can reduce “periodic review timeframes by up to 45 percent,” according to Fenergo, whose estimate is based on “time saved on a straight-through processed (STP) periodic review for a low-risk client.”
The FinCrime OS also has Command Center, described as “a role-based daily landing page. It delivers personalized, real-time dashboards and data analytics, allowing users to observe all agent activity and maintain complete governance and control over entity data in line with global AI regulations,” according to Fenergo. “The Command Center also interacts with Fenergo’s co-pilot for delivering insights and task and journey progress tracking.”
“Across the financial services industry, compliance has become increasingly complex, costly, and unsustainable. Fenergo’s vision is to drive unprecedented change by transforming compliance from a reactive cost-center into a strategic competitive advantage,” says Marc Murphy, CEO, Fenergo, in a prepared statement. The company hopes FinCrime OS “will ultimately empower financial institutions to handle more clients, with fewer errors while streamlining operations,” he adds.
Fenergo officials acknowledge that they considered the agentic A.I. concerns of customers when integrating cutting-edge technology into the FinCrime OS architecture.
Keith Redmond
“Fenergo built our FinCrime Operating System with client data protection as a top priority. Transparency, explainability, auditability, and strong data governance are non-negotiable principles baked into every layer,” Keith Redmond, chief product officer at Fenergo, tells FTF News.
“Agent actions are always governed by strict, configurable policies, and clients retain full visibility and control, with the ability to review decisions and fine-tune agent parameters at any time,” Redmond says. “Our agentic A.I. agents leverage the powerful out-of-the-box capabilities of large, multimodal language models without storing client-specific information. Plus, our framework is fully aligned with GDPR, the EU A.I. Act, and other major global AI governance standards. We are committed to evolving in step with emerging regulations — so our clients can innovate with confidence, not compromise.”
Overall, Redmond says that “agentic A.I. will be a game-changer, allowing for faster onboarding, fewer manual errors, and lower compliance risks.”
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