The post Kasisto Launches KAIgentic, The Banking Standard for Agentic AI appeared on BitcoinEthereumNews.com. New York, United States, August 19th, 2025, FinanceWire Kasisto, the market leader for AI in banking, today launched KAIgentic, an agentic AI platform purpose built for banking and now available to banks and credit unions. KAIgentic delivers AI that thinks like a bank’s best banker, combining intelligence, compliance, and bank grade performance in one platform across customer experience, employee experience, and AI operations. While many banks and credit unions experiment with generic large language models and untested agent frameworks, KAIgentic delivers what the industry needs: secure, auditable, domain specific AI agents deeply embedded within the systems that power banking. “Trust is the currency of banking, and most AI cannot be trusted,” said Lance Berks, CEO of Kasisto. “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.” The platform orchestrates autonomous AI agents capable of delivering intelligent, personalized, and proactive experiences across voice and digital channels, all while meeting strict regulatory and risk management requirements. Key capabilities include: End to end compliance architecture: Integrated controls for fraud detection, audit logging, policy enforcement, and regulatory reporting. Pre processing with institutional intelligence: Dynamically conditions agent behavior with custom SOPs, compliance documents, and user defined prompts. Agentic post processing layer: Hallucination detection, confidence scoring, and wrap around agents for compliance, security, fraud, regulations, and QA. Enterprise grade insights engine: Uncovers emerging trends, customer friction points, and LLM behavior anomalies through deep analytics. Agent augmented workforce: An AI powered Agent Console supports human agents with summaries, recommendations, and compliance context. LLM deployment flexibility: Choose between trusted open models or deploy KaiGPT, a domain tuned LLM that runs securely within the bank’s cloud or on premises environment. “Our vision is that every customer… The post Kasisto Launches KAIgentic, The Banking Standard for Agentic AI appeared on BitcoinEthereumNews.com. New York, United States, August 19th, 2025, FinanceWire Kasisto, the market leader for AI in banking, today launched KAIgentic, an agentic AI platform purpose built for banking and now available to banks and credit unions. KAIgentic delivers AI that thinks like a bank’s best banker, combining intelligence, compliance, and bank grade performance in one platform across customer experience, employee experience, and AI operations. While many banks and credit unions experiment with generic large language models and untested agent frameworks, KAIgentic delivers what the industry needs: secure, auditable, domain specific AI agents deeply embedded within the systems that power banking. “Trust is the currency of banking, and most AI cannot be trusted,” said Lance Berks, CEO of Kasisto. “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.” The platform orchestrates autonomous AI agents capable of delivering intelligent, personalized, and proactive experiences across voice and digital channels, all while meeting strict regulatory and risk management requirements. Key capabilities include: End to end compliance architecture: Integrated controls for fraud detection, audit logging, policy enforcement, and regulatory reporting. Pre processing with institutional intelligence: Dynamically conditions agent behavior with custom SOPs, compliance documents, and user defined prompts. Agentic post processing layer: Hallucination detection, confidence scoring, and wrap around agents for compliance, security, fraud, regulations, and QA. Enterprise grade insights engine: Uncovers emerging trends, customer friction points, and LLM behavior anomalies through deep analytics. Agent augmented workforce: An AI powered Agent Console supports human agents with summaries, recommendations, and compliance context. LLM deployment flexibility: Choose between trusted open models or deploy KaiGPT, a domain tuned LLM that runs securely within the bank’s cloud or on premises environment. “Our vision is that every customer…