Overview
Kasisto’s KAI platform delivers banking-focused conversational and agentic AI that helps financial institutions automate customer service, provide proactive financial insights, and support employees with instant answers. It includes banking-specific LLMs such as KAI‑GPT and KAI‑GPTv4 plus the KAIgentic agentic AI platform, designed to behave like a bank’s most trusted digital banker across channels.
Pricing
Mid-Market Banks & Credit Unions
- Pricing is enterprise and contract-based; public partner information indicates six‑figure annual deals for mid-sized banks and credit unions deploying KAI across customer and employee channels.
- Costs are influenced by number of users, channels (web, mobile, chat, voice), and whether KAI is used for both customer-facing and internal agent-assist use cases.
Large Banks & Global Institutions
- For tier‑1 and large regional banks, KAI is typically part of multi-year, multi-country deployments integrated with core banking and digital channels.
- Contracts often bundle platform licenses, LLM/agent usage, implementation, and ongoing optimization, with pricing negotiated individually.
Key Features
- Banking-specific LLMs (KAI‑GPT / KAI‑GPTv4) – Large language models trained specifically on banking content to deliver accurate, compliant, and explainable answers.
- Agentic AI platform (KAIgentic) – Agentic AI agents built for banks that are production-ready, compliant by design, and integrated directly into banking systems with hallucination and compliance checks.
- Conversational banking assistants – KAI-powered virtual assistants for customers that handle balances, transactions, payments, card controls, and product discovery via text and voice.
- Agent assist & employee support (KAI Answers) – Generative AI that gives employees instant, bank-grade answers from internal knowledge, policies, and systems.
- Omnichannel deployment & integrations – Integrates with digital banking providers like NCR, FIS, Q2, and others to operate across mobile apps, web sites, messaging, and voice channels.appsource.
Best Use Cases
- Retail and digital banking – 24/7 customer support for balances, transactions, payments, and card issues with human-like conversations.
- Credit unions and regional banks – Institutions that want a plug‑and‑play banking AI stack rather than building on generic models.
- Contact centers & agent assist – Equipping agents with KAI Answers to reduce handle time and improve first-contact resolution.
- Proactive sales & engagement – Using agentic AI to anticipate customer needs and suggest savings, credit, and investment products.
- AI with strict compliance requirements – Banks that need domain-specific AI with audit trails, fraud detection, and regulatory controls built in.
Pros
- ✅ Purpose-built for financial services – Banking-specific LLMs, intents, and workflows deliver more accurate and compliant responses than generic chatbots.
- ✅ Agentic, multi-agent architecture – Multiple AI agents coordinate to handle complex workflows while minimizing errors and hallucinations.
- ✅ Deep ecosystem integrations – Partnerships with providers like NCR, FIS, Q2 and others make deployment faster and more standardized.
- ✅ Proven at scale – KAI engages millions of banking consumers in multiple languages across 16+ countries for dozens of major institutions.
Cons
- ❌ Enterprise-only pricing – Six‑figure, multi-year contracts limit accessibility to larger banks and credit unions.
- ❌ Implementation complexity – Requires integration with core systems, channels, and compliance workflows, plus training and governance.
- ❌ Narrow vertical focus – Optimized for banking and financial services, so it is not a fit for non-financial industries.
Official Website
Kasisto / KAI – Official agentic AI platform for financial services: https://kasisto.com
Release Date: Kasisto was founded in 2013 as a spin‑off from SRI International (originator of Siri) and has since evolved KAI into a leading conversational and agentic AI platform for banks worldwide.
Last Updated: December 2025