AGENTIC AI SOLUTIONS FOR BANKS
Modernize core banking processes with autonomous AI agents
This white paper explores how autonomous AI agents are transforming core banking operations, offering solutions to modernize legacy processes, improve efficiency, and ensure compliance. It presents six high-impact use cases driving immediate ROI and provides a strategic roadmap for successful implementation of AI in banking environments.
Is your bank struggling to deploy AI beyond proof of concept?
This industry-exclusive white paper from Vertesia and Banking Dive provides senior IT and operations leaders with actionable insights for deploying autonomous AI agents across retail, commercial, wealth management, and corporate banking environments.

Why financial institutions need autonomous AI agents now
Today's banking systems weren't designed for the digital-first world. Manual processes, fragmented systems, and staff burnout are creating friction that impacts both operational efficiency and customer experience. Autonomous AI agents offer the strategic solution by:
- Modernizing legacy processes that slow operations and frustrate customers
- Breaking down data silos resulting from years of mergers and acquisitions
- Reducing staff burnout by eliminating repetitive tasks and false-positive alerts
- Ensuring compliance with evolving regulatory requirements
- Maintaining human oversight for critical decisions while automating routine work
High-impact, agentic AI solutions for banks
Forward-thinking banks are already deploying autonomous AI agents across critical operations
Fraud detection & transaction monitoring
Contract generation & review
New customer onboarding
Lending & mortgage origination
Treasury management & risk assessment
Knowledge management
Best practices to implement agentic AI solutions for banks
Unlike generalized AI solutions, financial institutions require purpose-built solutions that address banking's unique security and compliance requirements. The white paper provides a strategic roadmap to successfully deploy agentic AI solutions for banks, including:
- The critical factors for selecting high-value use cases
- Platform requirements for banking's security and compliance needs
- Implementation best practices from successful deployments
- Strategies for scaling from departmental wins to enterprise transformation
What sets industry leaders apart?
The distinction between AI experimentation and transformation comes down to execution. While many banks have made significant investments, only those taking a strategic, platform-based approach are seeing measurable returns.
This comprehensive playbook shares the strategies that separate the 11% of successful implementers from those still struggling with fragmented point solutions.
How to transform core banking processes with AI agents
Discover the step-by-step approach to implement autonomous AI agents that deliver measurable financial impact while enhancing security, compliance, and customer experience.