In a financial sector where trust is everything and hype runs high, most banks don’t want to gamble on experimental AI. Today, Kasisto, best known for powering conversational AI in banking, launched KAIgentic—a new agentic AI platform that’s not a pilot, not a prototype, but built to operate inside core banking systems with the compliance muscle regulators demand.
Banking Needs More Than “Just Another Chatbot”
While many financial institutions dabble with generic large language models (LLMs), the risk of hallucinations, security gaps, and compliance failures keeps CIOs awake at night. Kasisto’s pitch: KAIgentic thinks like a bank’s best banker—combining intelligence, compliance, and “bank-grade performance” in one stack.
Or, as CEO Lance Berks bluntly put it:
“Trust is the currency of banking, and most AI cannot be trusted. KAIgentic changes that.”
What’s Inside KAIgentic
Unlike consumer-grade AI tools, KAIgentic weaves compliance, security, and operational rigor into its DNA. Key capabilities include:
- Compliance-first architecture: Integrated fraud detection, audit logs, policy enforcement, and regulatory reporting.
- Pre-processing with institutional intelligence: Dynamically tunes agent behavior with SOPs, compliance docs, and bank-defined prompts.
- Agentic post-processing layer: Hallucination detection, confidence scoring, and wraparound compliance/fraud/regulatory safeguards.
- Enterprise-grade insights: Analytics to uncover customer friction points and LLM anomalies.
- Agent-augmented workforce: An AI-powered console to help human agents with summaries, recommendations, and context.
- Deployment choice: Use open models—or Kasisto’s own KaiGPT, a banking-tuned LLM that can run securely on-prem or in the cloud.
Why This Matters
The timing isn’t accidental. Banks are under dual pressure: customers expect instant, personalized digital service, and regulators demand bulletproof compliance. Most “AI for banking” so far has been thin wrappers around consumer LLMs. KAIgentic flips the model: a domain-specific AI agent framework built for the messy reality of financial services.
The industry is watching closely. Early adopters—select banks and credit unions—are already running the platform across customer experience, employee workflows, and contact centers. Broader availability is slated for later this year in North America, Europe, and Asia.
The Bigger Picture
The move puts Kasisto squarely in the middle of the agentic AI arms race, where verticalized AI is seen as the antidote to generic models. Rival fintechs like Personetics and Cresta have pushed into adjacent territory, but Kasisto’s play is bolder: an AI banking platform built from the ground up with compliance as a feature, not an afterthought.
Chief Product and Innovation Officer Joshua Schechter summed up the company’s vision:
“Every customer with a bank account should have a personal agent guiding their financial journey. KAIgentic makes that vision real.”
If Kasisto delivers, the question may shift from “Can banks use AI safely?” to “How fast can banks afford to roll it out?”
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