Kasisto, a provider of AI platforms for the banking sector, has announced the launch of KAIgentic, an agentic AI platform specifically developed for banks and credit unions.
KAIgentic is designed to provide AI that emulates a bank’s most effective banker, integrating intelligence, compliance, and bank-grade performance across customer experience, employee experience, and AI operations. The platform addresses the industry’s need for secure, auditable, and domain-specific AI agents that are deeply integrated within existing banking systems, contrasting with generic large language models or unproven agent frameworks currently being explored by many financial institutions.
Lance Berks, CEO of Kasisto, stated, “Trust is the currency of banking, and most AI cannot be trusted. KAIgentic changes that. It is not a prototype or a pilot. It is production ready, compliant by design, and built to operate inside the real-world systems banks rely on every day.”
KAIgentic orchestrates autonomous AI agents capable of delivering intelligent, personalized, and proactive experiences across both voice and digital channels, while adhering to strict regulatory and risk management requirements. Key capabilities of the platform include an end-to-end compliance architecture with integrated controls for fraud detection, audit logging, policy enforcement, and regulatory reporting. It also features pre-processing with institutional intelligence, dynamically conditioning agent behavior with custom standard operating procedures, compliance documents, and user-defined prompts.
Furthermore, the platform incorporates an agentic post-processing layer that includes hallucination detection, confidence scoring, and wrap-around agents for compliance, security, fraud, regulations, and quality assurance. An enterprise-grade insights engine is also part of KAIgentic, designed to uncover emerging trends, customer friction points, and large language model behavior anomalies through deep analytics. For human agents, an AI-powered Agent Console supports them with summaries, recommendations, and compliance context. The platform offers flexibility in large language model deployment, allowing institutions to choose between trusted open models or deploy KaiGPT, a domain-tuned LLM that can run securely within the bank’s cloud or on-premises environment.
Joshua Schechter, Chief Product and Innovation Officer at Kasisto, commented, “Our vision is that every customer with a bank account will have a personal agent guiding their financial journey. KAIgentic makes that vision real, giving institutions the ability to earn trust, deepen relationships, and help customers build long term financial stability.”
KAIgentic is currently in early access with select banks and credit unions, supporting customer interactions, employee workflows, and contact center experiences. Broader availability for the platform is anticipated later this year across North America, Europe, and Asia.
Kasisto is a recognized provider of agentic AI platforms developed for the banking industry. The company states its platform orchestrates autonomous AI agents that operate securely within banking’s regulatory and operational frameworks. At its core is KaiGPT, a proprietary large language model designed for banking, aiming for domain-specific accuracy and flexible deployment.
