10 Best Banking Chatbots of 2026

interface.ai sells three agents to credit unions and community banks: Voice AI for the phone line, Chat AI for the website and app, and Employee AI that supports staff on live calls and chats. The chat agent goes past FAQs: the vendor lists more than 15 transactional workflows completed on the core, so a member can check a balance, move money between accounts, pay a loan or card and start an application in the same conversation. Authentication scales with risk, from member ID checks for a balance to device biometrics or a one-time code for a wire to a new payee. Answers cite the exact page or disclosure they came from, and the vendor says the model is trained on NCUA and FFIEC guidance and never trains on your data. Named core partners include Fiserv, Jack Henry, Symitar, COCC and Corelation. The trade-off is a sales-led purchase with no published price, and the focus on smaller institutions means large banks may want a broader platform.

Glia started in digital customer service and now sells itself as a banking AI platform for regional and community institutions. Glia Banker is the voice AI, which the vendor says covers more than 1,000 banking tasks out of the box and can automate up to 80% of inquiries, and the same platform runs chat, messaging and video sessions with human staff. CoPilot gives agents approved knowledge and cross-sell prompts during the conversation, and AI Outreach runs outbound campaigns for CD renewals and payment reminders. Glia lists more than 100 prebuilt integrations with online banking platforms, cores and CRMs, and is a Q2 Strategic Reseller. On compliance it cites PCI Level 1 at the application level on top of SOC 2 Type II, and it offers a contractual guarantee against hallucinations and prompt injections. Pricing is a fixed fee with unlimited seats and usage, but the page publishes no figure, so you still need a quote.

Posh builds AI for financial institutions only, with customer-facing products for the phone and the website and employee products for training and quality review. The Voice Assistant answers FAQs, routes calls and completes banking transactions, while the Digital Assistant covers the website and mobile app and, per the vendor, also reaches SMS and email. Posh says it builds and maintains its integrations in-house, and the list is specific: cores including COCC, Corelation, Fiserv, Jack Henry and Symitar; online banking from Alkami, Q2, Lumin Digital and others; telephony from Avaya, Cisco, Genesys, NICE and Twilio; and voice biometrics from Pindrop. That is what lets the assistant check balances and make transfers rather than only answer questions. CoachQA scores every contact center conversation against your procedures, which helps compliance teams. There is no published price and the product is sold through demos, so budget for a sales cycle.

Kasisto was one of the best-known banking assistant vendors, and kasisto.com now redirects to Backbase, whose Conversational Banking product covers the same ground inside its Banking OS. Customers can type or speak a request in the mobile app, on the web, in messaging or on a voice line, and the assistant can show balances, block a lost card, raise a card limit, dispute a payment or continue an application. Every action runs through access, policy and approval checks set by the bank, and exceptions go to an authorized employee with the context attached, so the customer does not start again. Backbase quotes Nedbank, whose assistant Enbi has served more than 2.3 million clients and cut live chat volume by more than 75%. The fit is strongest for banks that already run Backbase for online and mobile banking; as a stand-alone chatbot it is a heavier purchase than the specialists above, and pricing is not published.

Agentforce for Financial Services is Salesforce's agent layer tuned for banking, wealth, insurance and lending. It ships prebuilt data models, workflows and agent templates that teams extend with the low-code Agentforce Builder or natural-language Agentforce Script, and Salesforce lists examples such as resolving card disputes and running collections workflows with handoff to staff. Compliance is the main selling point for banks: the Trust Layer promises zero data retention by external AI models, automatic PII masking and an immutable audit trail of every action, and Salesforce cites SOC 2 Type II, ISO 27001/27018 and PCI DSS v4.0.1 Level 1. Data from core banking systems arrives through MuleSoft, Data 360 and Informatica, which is flexible but means an integration project. Customer-facing agents are priced at $2 per conversation. That price is easy to model, but at high balance-check volume a flat-fee specialist can work out cheaper.

Yellow.ai is a general enterprise automation platform with a specific banking, financial services and insurance offering. Its BFSI page lists the typical banking jobs: FAQs on interest rates, loan eligibility and account opening, plus voice agents that block or replace cards and respond to fraud alerts, with language switching and interruption handling. The vendor claims 35+ channels, 135+ languages, 150+ prebuilt templates and 100+ out-of-the-box CRM and billing integrations, and lists ISO, HIPAA, SOC 2, GDPR and PDPA compliance plus PCI-DSS v4.0.1 service provider compliance in North America. Handoffs reach a live agent with a chat summary. UnionBank of Philippines is the published reference, with AI agent operating costs down 51%. Unlike the US banking specialists, Yellow.ai does not name core banking connectors, so account actions depend on your APIs. The free plan includes 500 resolutions a month, then $0.99 per resolution.

Boost.ai is a Norwegian conversational AI platform with a long record in banking, insurance and telecom, and MSU Federal Credit Union is among the institutions quoted on its site. The platform combines classic intent recognition with generative and agentic AI, which suits banks that want tight control over what the assistant says. A no-code builder and prebuilt industry modules with compliance guardrails let an in-house team build flows, and test studios simulate users to find jailbreaks and knowledge gaps before launch. Integrations cover channels, contact centers, authentication and voice, and an API connector reaches anything else, but no core banking systems are named. Boost.ai cites ISO 27001 and 27701 certification, GDPR compliance and an independent SOC 2 report, and more than 36 languages. On October 7, 2026, Automation Anywhere announced a definitive agreement to acquire the company, with closing expected in Q4 2026, so ask about the roadmap and contract terms.

Google Conversational Agents, the successor to Dialogflow CX, is a build-it-yourself platform rather than a banking product. CX Agent Studio, powered by Gemini, gives teams prebuilt agent templates, evaluation tools and a visual builder, and agents can serve web, mobile, voice, email and social channels with voice in over 40 languages. For a bank, the work is in the integrations: balance, card and loan answers need your own APIs behind the agent, plus your own authentication and compliance review. In return the price is low and published, starting at $0.007 per chat request on Flows, and new Google Cloud users get trial credits. It suits a bank with an engineering team already on Google Cloud; a credit union without developers will get further, faster with a specialist that ships core integrations.

Amazon Lex is the AWS building block for conversational interfaces, and it is the cheapest documented option in this list at $0.00075 per text request. Lex handles language understanding for voice and text, then calls AWS Lambda functions for business logic, which is where a bank would look up a balance, check a card status or fetch a loan payoff from its own systems. It integrates natively with Amazon Connect, so banks already on that contact center can put a bot in front of the phone and chat queues, and it also deploys to Genesys Cloud CX, Facebook Messenger, Slack and Twilio SMS. Amazon Bedrock integration adds generative answers from your documents. Everything banking-specific, from authentication to compliance review, is yours to build, so Lex only makes sense with an AWS engineering team.

Copilot Studio is Microsoft's platform for building agents with no code, and it now includes what used to be Power Virtual Agents. Teams describe an agent in natural language or build it in a graphical editor, connect it to data through more than 1,500 prebuilt connectors and MCP servers, and publish it to a website, social channels, Teams or SharePoint. For banks the main draw is governance: automated evaluations, version control and a dev, test and production lifecycle that IT departments already know. Microsoft names no banking templates or core connectors, so a customer-facing balance or card assistant needs custom connectors and careful review, and many banks start with internal agents for branch staff and the contact center. Pricing is $200 a month per pack of 25,000 Copilot Credits, or pay as you go, which needs modeling against your expected volume.