Reimagining financial services and insurance operations with AI

A guide to practical AI adoption across regulated BFSI environments

Financial institutions run on processes that must be reliable, transparent, and fully compliant. Yet many FSI operations still depend on manual reviews, fragmented systems, and repeated checks that slow decisions and increase operational strain. In 2025, manual processing costs reached $128 per onboarding case, while EU banks recorded €17.5 billion in operational risk losses linked to process failures. As regulations grow more complex and customers expect faster experiences, financial institutions need AI-powered systems that can coordinate work across fragmented processes and act autonomously within regulatory guardrails.

Purpose-built AI for BFSI makes this possible. Unlike traditional banking automation that simply speeds up manual tasks, agentic AI applications understand regulatory context, coordinate across banking and insurance systems, and make decisions autonomously. 

This guide shows where BFSI-specific AI applications, with embedded compliance controls, risk management frameworks, and pre-configured integrations to core banking systems, can be deployed rapidly, delivering measurable impact in weeks, not months, while the underlying agent platform ensures security, governance, and regulatory adherence.

What's inside

• Why BFSI operations need intelligent systems that coordinate across fragmented regulatory workflows
• Nine use cases spanning shared operational workflows and core AI for banking operations and insurance processes
• How multi-agent orchestration makes BFSI processes more structured and predictable
• Why AI for Banking on the Kore.ai Agent Platform delivers faster deployment with purpose-built workflows, embedded regulatory controls, and FSI system integrations