JACKSONVILLE, Florida — May 4, 2026 —
Executive Summary
FIS has announced a strategic collaboration with Anthropic to introduce agentic artificial intelligence into banking operations, beginning with the deployment of a Financial Crimes AI Agent. The initiative is designed to significantly reduce the time required for anti-money laundering investigations by compressing processes that traditionally take hours or days into minutes. The solution integrates Anthropic’s Claude reasoning capabilities with FIS’s financial data infrastructure and regulatory systems, creating a governed environment where all AI-driven decisions remain traceable and auditable. Initial development deployments include BMO and Amalgamated Bank, with broader availability planned for the second half of 2026.
Announcement Overview
FIS, a global financial technology provider supporting a substantial portion of the global financial system, has formally introduced its entry into agentic AI deployment within banking environments through a collaboration with Anthropic. The announcement outlines a coordinated effort to build AI agents capable of executing operational workflows within regulated financial systems, beginning with financial crime detection and investigation.
The Financial Crimes AI Agent represents the first implementation of this initiative, designed to operate within banking infrastructure to assist with anti-money laundering investigations. The system automatically assembles relevant data across a bank’s core systems, evaluates transactional activity against known financial crime typologies, and identifies high-risk cases for investigator review. The deployment is structured to maintain investigator oversight while reducing manual processes.
Anthropic’s Applied AI team and forward-deployed engineers are embedded within FIS to co-develop the system, ensuring alignment between AI reasoning capabilities and banking-specific regulatory and operational requirements. The initiative also includes knowledge transfer components to enable FIS to independently build additional AI agents over time using the same foundational architecture.
Key Announcement Details
- Announcement Type: Strategic AI deployment and banking collaboration
- Primary Initiative: Financial Crimes AI Agent
- Technology Integration: Claude AI reasoning integrated with FIS banking data and infrastructure
- Operational Focus: Anti-Money Laundering (AML) investigations
- Efficiency Impact: Investigation timelines reduced from hours or days to minutes
- Core Functionality: Automated evidence assembly, typology evaluation, and high-risk case identification
- Initial Participating Institutions: BMO, Amalgamated Bank
- Deployment Status: In development phase with select institutions
- Planned General Availability: Second half of 2026
- Governance Model: Fully traceable and auditable AI decision-making within FIS-controlled infrastructure
- Strategic Objective: Establish a scalable, agent-first AI platform for banking operations
- Future Expansion Areas: Credit decisioning, deposit retention, customer onboarding, fraud prevention
Introduction of Agentic AI in Regulated Banking Environments
The collaboration introduces a structured approach to deploying agentic AI within the constraints of regulated financial systems. FIS is positioning itself as the foundational platform responsible for data management, governance, deployment infrastructure, and client relationships, while Anthropic contributes AI reasoning capabilities through its Claude models.
This framework is designed to ensure that AI systems operate within controlled environments where data remains within FIS-managed infrastructure and all outputs are auditable. The integration reflects a model in which AI agents do not operate independently of institutional oversight but instead function as components within a governed ecosystem.
The Financial Crimes AI Agent serves as the initial implementation of this architecture, demonstrating how AI can execute complex investigative workflows while maintaining compliance with regulatory standards. The system is intended to operate across banking environments, integrating with both FIS-managed systems and external banking cores through standardized interfaces.
Leadership Statements
Stephanie Ferris, Chief Executive Officer and President of FIS, stated:
“Every bank in the world wants AI that acts, not just assists. The future is about a trusted provider who manages the data, who governs the agents, and who stands between your customers and the AI making decisions about their money. FIS built the architecture that orchestrates this intelligence. Anthropic is a leading AI provider, Claude is the reasoning engine inside, and the Financial Crimes AI Agent is the first proof of what this architecture can deliver for financial institutions that are ready to become the agent-first bank of the future. It’s a new era in banking.”
Jonathan Pelosi, Head of Financial Services at Anthropic, stated:
“FIS brings decades of trusted relationships with financial institutions, deep regulatory knowledge, and the transaction data that makes an AI agent useful in practice. That’s why FIS chose Claude, they needed a model that could reason through complex investigations accurately, explain its work, and operate safely inside regulated workflows. We embedded our Applied AI team inside FIS to build the Financial Crimes AI Agent together, so every conclusion the agent reaches links back to its source data, and every decision stays with the investigator.”
Strategic Architecture and Platform Design
The initiative is structured around a unified architecture combining data, governance, and AI reasoning. FIS provides the core platform, including data aggregation, regulatory frameworks, and operational infrastructure, while Anthropic’s Claude models supply reasoning capabilities across use cases.
Key elements of this architecture include:
- Data Platform: Consolidation of financial data across transactions, payments, deposits, and customer activity
- Governance Layer: Ensuring all AI decisions are traceable and auditable within controlled infrastructure
- Deployment Infrastructure: Supporting integration across FIS-operated and external banking systems
- AI Reasoning Engine: Claude models enabling complex decision-making and analysis
Anthropic’s forward-deployed engineers and Applied AI team are embedded within FIS to co-design the Financial Crimes AI Agent, aligning technical capabilities with regulatory requirements. This collaboration also establishes evaluation frameworks and knowledge transfer processes intended to support future agent development within FIS.
Focus on Financial Crimes as Initial Use Case
The decision to begin with financial crimes reflects the scale and complexity of anti-money laundering operations within the global financial system. According to estimates referenced in the announcement, approximately $2 trillion in illicit funds flows through the global financial system annually, while financial institutions in the United States spend between $35 billion and $40 billion each year on AML operations.
Current investigative processes require significant manual effort, with investigators assembling data from multiple disconnected systems before analysis can begin. This structure contributes to extended investigation timelines and operational inefficiencies.
The Financial Crimes AI Agent addresses these challenges by:
- Automatically assembling evidence across a bank’s systems
- Evaluating transactional behavior against known typologies
- Identifying high-risk cases for review
- Reducing reliance on manual data gathering
Investigators retain control over final decisions, with the system designed to support rather than replace human judgment.
Evaluation Metrics and Operational Impact
The Financial Crimes AI Agent is being evaluated based on measurable operational outcomes, including:
- Reduction in cost per case through elimination of manual evidence gathering
- Reduction in low-value manual work, enabling investigators to focus on decision-making
- Reduction in case review time, allowing more efficient allocation of expertise
These evaluation criteria are aligned with operational challenges currently faced by financial institutions in managing AML processes.
BMO and Amalgamated Bank are participating in development deployments of the agent, providing real-world environments for testing and refinement. Broader availability is planned for financial institution clients of FIS in the second half of 2026.
Data Infrastructure and System Integration
The effectiveness of the Financial Crimes AI Agent is supported by FIS’s position as a system of record for multiple categories of financial data, including transactions, payments, deposits, credit, and customer activity. This centralized role enables the agent to access relevant data without requiring additional integrations or exposure to external vendors.
For institutions operating outside FIS core systems, the agent connects through open integration standards, enabling interoperability while maintaining governance within FIS-controlled infrastructure.
Key characteristics of the data environment include:
- Unified access to financial data across multiple systems
- Governed infrastructure ensuring data security and compliance
- Traceability of all AI-generated conclusions
- Auditability of decision-making processes
This structure allows the Financial Crimes AI Agent to operate across diverse banking environments while maintaining consistent governance standards.
Expansion of Agent-Based Capabilities
The Financial Crimes AI Agent represents the first implementation within a broader roadmap of AI agents planned by FIS. The company has outlined additional areas where agent-based systems will be developed using the same platform and infrastructure.
Planned areas of expansion include:
- Credit decisioning
- Deposit retention
- Customer onboarding
- Fraud prevention
Each of these agents will be designed to address specific operational challenges within banking, leveraging the same unified data and governance framework established for the Financial Crimes AI Agent.
The roadmap reflects a phased approach to deploying agentic AI across financial services, with each implementation building on the foundational architecture established through the initial deployment.
About FIS
FIS is a financial technology company providing solutions to financial institutions and businesses globally. The company supports financial operations across the money lifecycle, including payments, banking, and investment processes.
FIS operates at a global scale, supporting infrastructure that underpins a significant portion of the financial system. Its services are designed to enable clients to manage operations, support growth, and maintain security across financial activities.
Headquartered in Jacksonville, Florida, FIS is included in the Fortune 500 and the Standard & Poor’s 500 Index. The company’s operations encompass a wide range of financial technologies and services used by institutions worldwide.
About Anthropic
Anthropic is an artificial intelligence safety company focused on developing reliable, interpretable, and controllable AI systems. Its flagship model, Claude, is designed to support enterprise applications requiring high levels of reasoning capability and operational safety.
Anthropic’s forward-deployed engineering program collaborates with enterprise organizations to develop AI systems tailored to specific operational needs. The company’s approach emphasizes safety, transparency, and alignment with real-world requirements, particularly in regulated industries.
Media Contact
For additional information, visit fisglobal.com.
Source Attribution
Source: Company announcement
