Kasisto builds KAI, a conversational and generative AI platform built specifically for banks, credit unions, and wealth management firms. The company was spun out of SRI International, the research institute that created the technology behind Apple’s Siri, and has spent over a decade developing tools for financial institutions.
The core problem Kasisto addresses is that general-purpose language models tend to hallucinate or drift from regulatory requirements when applied to banking. KAI is built to reduce that risk with financial-domain training, retrieval-based answers, and compliance guardrails designed for regulated environments.
The current product suite includes KAI-GPT (now on its fourth version, KAI-GPTv4), KAI Answers for generative search over internal documents, KAIgentic for multi-step agentic tasks, and KAIops, a newer layer that coordinates AI agents across the platform. KAI-GPTv4 adds retrieval-augmented generation optimized for banking data, source citations, and multimodal input.
Kasisto differentiates itself with pre-built banking intent models, financial taxonomies, and integrations with core digital banking providers rather than offering a generic cross-industry chatbot. The company now markets KAI as an agentic AI platform for financial services, a shift from its earlier framing as a digital experience platform.
Pricing
Kasisto does not publish pricing, a free plan, or a self-serve free trial. Access to KAI requires custom enterprise licensing based on institution size, deployment scope, and which products (KAI-GPT, KAI Answers, KAIgentic) are included. Pricing is available only after a direct sales consultation, and there is no published usage-based tier.
* Disclaimer: Please note that pricing information may not be up to date. For the most accurate and current pricing details, refer to the official website.
Key Features
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KAI-GPTv4, a financial-domain LLM with citation transparency and multimodal input
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KAI Answers, a generative Q&A engine for policies and knowledge bases
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KAIgentic agentic workflows for multi-step financial tasks and personalization
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KAIops layer for coordinating multiple AI agents across the platform
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Compliance guardrails with policy enforcement and traceable audit outputs
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Omnichannel deployment across mobile apps, web portals, and call centers
Use Cases
Automated Retail Banking Support
Banks deploy KAI in mobile and web banking apps to handle balance checks, card freezes, and funds transfers without a human agent. It runs continuously, so customers can resolve routine requests outside call center hours.
Call Center Agent Assist
Contact center agents use KAI Answers to search policy documents and product guidelines during live calls. This shortens call handling time and reduces variation in how agents answer the same question.
Credit Union Member Engagement
Credit unions and community banks use KAI to answer member questions on loan rates and branch details without building their own LLM infrastructure. This lets smaller institutions offer digital experiences closer to those of larger banks.
Multi-Step Task Execution
KAIgentic can guide a customer through a mortgage pre-qualification form, collect documentation, and update core systems in one flow. This is intended to reduce drop-off during multi-step applications.
Wealth Management Insights
Wealth management clients can ask conversational questions about spending, savings trajectory, and investment performance. KAIgentic is built to connect these answers to real account and transaction data rather than generic advice.
Strengths & Weaknesses
Strengths
Built specifically for banking, so there is no need to adapt a general AI model to financial terminology.
KAI-GPTv4 is built to cite sources and to say “I don’t know” instead of guessing.
Covers generative search, a domain-specific LLM, and agentic task execution in one product suite.
Has confirmed, named deployments at large institutions such as Westpac and J.P. Morgan.
Pre-integrates with established digital banking providers, including NCR, FIS, and Q2.
Weaknesses
No public pricing is available, so budgeting requires a direct sales conversation.
The narrow banking focus makes it irrelevant to companies outside financial services.
Some claims, such as SOC 2 certification and a few named clients, appear only in third-party listings and are not confirmed on Kasisto’s own site.
There is no self-service trial, so evaluating the product requires engaging Kasisto’s sales team first.
Who Is This For?
Retail Banks: institutions that want to shift high volumes of routine customer service requests to a digital channel available around the clock.
Credit Unions and Community Banks: smaller institutions that want modern conversational AI without building custom LLM infrastructure in-house.
Wealth Management and Investment Firms: teams that want clients to get quick, conversational access to portfolio and account data.
Financial Contact Centers: support teams that want an internal lookup tool to shorten training time and speed up resolution.
Frequently Asked Questions
What is KAI-GPTv4?
KAI-GPTv4 is Kasisto’s current financial-domain language model. It is optimized for retrieval-augmented generation, provides source citations, and supports both text and image input.
Does Kasisto publish pricing?
No. Pricing is custom and quoted only after a direct sales consultation based on the institution’s size and which products are deployed.
Is there a free trial or self-service sandbox?
No self-service trial is publicly available. Prospective customers need to schedule a demo directly with Kasisto’s sales team.
What is KAIgentic?
KAIgentic is Kasisto’s agentic AI product. It carries out multi-step financial tasks, such as pre-qualification workflows, rather than only answering single questions.
What does KAIops do?
KAIops is a coordination layer that manages how multiple AI agents work together across the KAI platform.
How does KAI try to prevent hallucinations?
KAI-GPTv4 is trained on banking-specific data, cites its sources, and is designed to respond “I don’t know” when information is not available, rather than guessing.
Which institutions are confirmed to use KAI?
Kasisto’s own materials name J.P. Morgan, Westpac, Standard Chartered, TD, Nedbank, and BankSouth as customers. Other names, such as DBS Bank, appear only in third-party client databases and are not independently confirmed.
Can KAI connect to existing core banking systems?
Yes. KAI is pre-integrated with digital banking partners including NCR, FIS, and Q2, and is built to connect to core banking engines through APIs.
Who is KAI not a good fit for?
Companies outside banking or financial services will find little use for KAI, since its models, intents, and compliance rules are built specifically for that industry.
KAI is pre-integrated with digital banking providers NCR, FIS, and Q2, according to Kasisto’s own materials. It is also built to connect to core banking engines and transaction ledgers via APIs, though the specific core banking vendors supported beyond these are not publicly documented. No public developer or API documentation is accessible without an enterprise sales engagement.