For banking and finance
Built to support high-trust conversations.
With Kindly, your AI Support Agents handle the questions that customers ask your bank with the same care and precision as your best advisers. Authenticate every customer before sensitive answers, ground every response in your verified data, and log every interaction for the audit trail your compliance team expects.
Book a consultation
Close-up of a person holding a smartphone in one hand and a gold credit card in the other, suggesting mobile banking or online payment.
Trusted by banks and financial institutions across Europe
Banking customers need answers with no margin for error.
“What’s my balance?” “Did my transfer go through?” “Why was my card declined?” “How do I dispute a charge?” “Can I increase my credit limit?” Every one of these questions has a right answer sitting in your systems, that the customer can’t afford to receive incorrectly. The cost of getting it wrong is bigger than a refund. It’s a customer who stops trusting their bank.
The banks earning that trust have moved past generic chat. They authenticate the customer before answering anything sensitive. They ground every response in their own verified data, not in the model’s best guess. They log every interaction the way their compliance team needs it logged. Kindly is built to deliver on all three.
What changes with Kindly
Chat interface of Misto Fashion's agent assistant showing a customer requesting help to return a small jacket, with the assistant directing to a return form that asks for email and order number, alongside tags indicating requests are handled automatically and support is available 24/7.
Answer the account-specific questions your branch agents handle every day.
Balance enquiries, transfer status, card freezes, and recent transactions. Most of what fills your contact centre queue is your customer asking a question your systems can answer in milliseconds. Your AI Support Agents authenticate the customer, pull the live answer from your core banking system, and respond in the customer’s own language. The advisers your customers actually need to speak to are the ones now free to do it.
Diagram illustrating how Kindly GPT processes a warranty query for Misto Fashion. The user asks what their warranty covers and how to make a claim. Kindly GPT searches, then a fact checker reviews the response, either approving or declining it. If approved, the system replies with warranty coverage details: manufacturing defects for 24 months excluding accidental damage or wear and tear. Claim instructions direct to My Account > Orders > Warranty, with most claims reviewed within 2 business days. If declined, a fallback option is triggered.
Hold the line on accuracy, every single answer.
In banking, a confident-but-wrong answer is worse than no answer at all. AI Agents built with Kindly source all their information from your verified policies, product terms, and account data. For the questions where the wording has to be exact, like regulated disclosures, fee structures, and complaint procedures, your team has full control of the response so that the AI Agent never improvises on answers that matter.
Screenshot of a user interface showing a revision history with actions labeled Modified, Deleted, and Created for dialogues, including details like action description, member info with profile pictures and IP addresses, and timestamps. The highlighted entry shows 'Modified Bor replies in: Waiting fallback message' by Sophie Henriksen with IP 192.158.1.38 at 29.11.2024 14:08:23. Navigation at bottom indicates page 1 of 5 and shows 1-9 out of 69 entries, with a button labeled Full revision history on the top right.
Keep an audit trail your compliance team can rely on.
Every conversation is logged, reviewable, and auditable. Your team sees what the AI Agent said, who it said it to, and what data it pulled to say it. When regulators come by, the answers are already documented and ready to be shared. When the data tell you something needs to change, your team makes the edit and ships the fix in a few clicks.
Authenticate every customer conversation.
Your AI Support Agents verify customer identity through Vipps, BankID, or SSO before sharing anything sensitive. The same authentication your customers already trust with their banking, embedded inside the conversation.
Chat interface from Misto Bank showing a conversation where a user requests their last three invoices, followed by a verification process with BankID and confirmation of three invoices found (#1042, #1031, #1018), with flow arrows indicating steps: connecting to authentication, identity verified, and 3 invoices order found.
How Kindly’s AI Support Agents help millions of Elkjøp’s customers
More than 2 million Elkjop customers across Norway, Sweden, and Finland are supported by Kindly during their time of need.

Frequently asked questions

 What is AI customer support for banks?
AI customer support for banks is software that answers customer questions, authenticates identity, and resolves account-specific issues without a human agent. Unlike a chatbot, an AI Support Agent connects to your core banking systems, recognises the customer’s intent across natural language, and only answers sensitive questions after verifying who’s asking. The best platforms log every interaction for compliance, ground every response in the bank’s own verified data, and hand over to a human agent the moment the question needs one.
How does Kindly handle authentication for banking customers?
Kindly can authenticate customers through Vipps, BankID, and SSO before sharing any account-specific information. The integration uses signed JSON Web Tokens with RS256 encryption, and every authentication event is logged in line with Kindly’s ISO/IEC 27001:2022 certified Information Security Management System. Once a customer is authenticated, the AI Agent can answer balance enquiries, transfer status, recent transactions, and other account-specific questions safely.
Can the AI Support Agent give information about regulated products?
Yes - Kindly has helped a wide range of highly-regulated enterprises to handle this exact problem. For regulated answers, your team writes the response once in templated dialogue, and the AI Agent reads it word for word with no generation. For open-ended questions, the AI Agent is grounded in your verified knowledge base, your product terms, and your policies. It cannot improvise on regulated content, and it cannot draw from outside data. The wording your compliance team approves is the wording your customer hears.
Is Kindly compliant with GDPR and other banking regulations?
Yes, Kindly is GDPR compliant and holds an ISO/IEC 27001:2022 certification for its Information Security Management System. All conversation data, authentication data, and platform data are processed and stored in secure data centres within Europe. Kindly signs Data Processing Agreements with all customers and maintains a public list of subprocessors, available through our trust center.
Can Kindly integrate with our core banking system?
Yes. Kindly connects to core banking systems, payment processors, fraud detection tools, and CRMs through webhooks and APIs. Most common Nordic banking stacks plug in through standard integrations, and Kindly’s expert team helps you connect the ones that don’t. Once connected, your AI Support Agents can pull live account data, transaction history, and product information into the conversation in real time.
How Kindly’s AI Support Agents help millions of Elkjøp’s customers
More than 2 million Elkjop customers across Norway, Sweden, and Finland are supported by Kindly during their time of need.