Rigid Rule-Based Chat
Existing system couldn’t handle ambiguous queries, causing high ticket volumes.
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A midsize bank offering a range of financial services including deposits, loans, and wealth management. It focuses on reliable banking, smart operations, and data-driven decisions to support growth and simplify banking for customers.
Existing system couldn’t handle ambiguous queries, causing high ticket volumes.
Refund approvals needed robust screening to avoid losses.
Open-source AI frameworks raised vulnerabilities; the bank needed a more secure, enterprise-grade solution.
A multi-agent system combines Generative AI for natural conversation, a SQL Agent for transaction lookup, and a Predictive (ML) Agent for fraud detection. Refunds are processed only if confidence scores are sufficiently high, ensuring security without sacrificing customer experience.
Ambiguous queries are resolved seamlessly by the AI-driven chat, lowering customer support load.
Automated checks leverage historical data for higher accuracy.
Customers enjoy flexible, natural conversations and faster refunds.
Lyzr Agent Platform is SOC2, GDPR, and ISO 27001 compliant, ensuring enterprises can run their critical workloads safely.
The data resides within the customer's own cloud, ensuring 100% ownership and adherence to data residency requirements.
Lyzr's reflection module reduces the chances of hallucination. This feature is enabled in most critical applications for higher accuracy.


