It’s entirely normal to fall in love with Kindly
With a simplified building experience, and 70% fewer hours needed for maintenance, Kindly is the platform that hundreds of AI Support Leaders are excited to log in to everyday.
Book a consultation
_Nick_Fancher_Photos_ID6161.avif)
The platform behind Europe's best support teams.
Build the support experience you had in mind. Not the one your platform lets you build.
Kindly never forces you into a hard choice between templated dialogue, or completely basing your conversations on generative AI.
Our hybrid AI lets you control how your AI Support Agents should respond. Mix between traditional branched dialogue flows, or AI generated response based on what suits your vision and your customer’s needs.
Build the support operation you've always wanted to run.
For however they ask, and whatever they meant.
Customers come at you with every kind of intent. Misspellings, half-questions, changes of mind, and repeated rephrasing. Kindly recognises each one, and matches them to the intents your team built.
Treat every customer like a regular.
Your AI Support Agents pull up the customer's order and remember the last conversation your team had with them. When the answer is sensitive, they authenticate before proceeding. And when the customer needs more than an answer, they take action right away.
Handle every channel your customers use.
Web, voice, in-app, WhatsApp, Messenger. Build the AI Support Agent once and deploy it across every surface your team supports, without rebuilding for each one. When a conversation needs a human, your colleagues pick it up where the AI Support Agent left off.
Fix your flows in just a few clicks.
Analytics and insights show where your AI Support Agents are the most effective, and where they aren't. Discover the conversations behind the numbers, then tune the dialogue, the prompt, or the knowledge in the same builder you used to ship them.
Loved by teams who use it. And those who'd rather not.
Support teams love Kindly for how it lets them be in control. That colleague who can't write a line of code to save their life? They can build, change, and improve all of your AI Support Agents on their own.
Engineering teams love it for how it lets them be. They step in when the integration work calls for it, and step out every other time.
Engineering teams love it for how it lets them be. They step in when the integration work calls for it, and step out every other time.
Trust and control
The control your brand expects.
Your AI Support Agent speaks in your voice, follows your rules, and respects where you set boundaries. The kind of control your brand, your customers, and your legal team can all live with.
- Set the tone and voice your AI Support Agent speaks in
- Decide what it can and can't say, per topic and per market
- Authenticate customers before sensitive answers
- Log and audit every conversation, end to end
- Keep customer data in Europe
Why Kindly
Simpler than legacy.
Legacy platforms hand you an inventory: thousands of dialogues, decision trees branching into more decision trees, and flows nobody dares delete because nobody remembers what they were for. Your team didn't sign up to get chores from their platform. Kindly takes care. Your team writes an answer once, where it belongs, and that's where it lives. When the business changes, the customer hears about it the same week. Not the same quarter.
Deeper than DIY.
As a specialist platform since 2016, Kindly’s teams have built AI Support systems thousands of times, so your team builds it just once. On day one, your team gets the channels, integrations, guardrails, and safety nets that have helped automate millions of interactions for Europe’s leading brands. On day 450, your AI engineers look back and thank you for letting them focus on true business value, rather than routine platform configurations.
How Posten Bring's customer service team are also their platform team.
Across Norway, Sweden, and Denmark, the team closest to Posten Bring’s customers now build the AI Support Agents that serve them.
Knut Veiulf Holme, Senior Advisor, Posten Bring Customer Service
“We place great emphasis on having our digital solutions developed by customer service staff, not by an IT department. I believe that's the key to success with digital solutions.”
Read the Posten Bring story
Frequently asked questions
What is an AI customer support platform?
An AI customer support platform lets a business build, run, and improve software agents that resolve customer questions on their own. The platform sits between the customer's question and the business's data, recognising what the customer is asking, finding the answer, and responding in natural language across whichever channel the customer is using. The best platforms also let the AI Agent take action on the customer's behalf, hand over to a human colleague when needed, and improve over time as the team reviews and tunes its performance.
How does Kindly's AI Support Agent work?
Kindly's AI Support Agent works in three steps: it understands the customer's question, finds the right answer, and responds in natural language.
The understanding step uses intent matching and generative AI together. Misspellings, half-questions, and rephrased questions are all recognised and matched to the intent your team has built.
The answering step uses your business's verified data. The AI Agent pulls from your knowledge sources and can connect to your CRM, order management system, or authentication provider so the answer is personal to the customer asking it.
The responding step happens across whichever channel the customer is using: web, voice, in-app, WhatsApp, or Messenger. When the question is sensitive, the AI Agent authenticates the customer first. When the customer needs more than an answer, the AI Agent takes action right away.
The understanding step uses intent matching and generative AI together. Misspellings, half-questions, and rephrased questions are all recognised and matched to the intent your team has built.
The answering step uses your business's verified data. The AI Agent pulls from your knowledge sources and can connect to your CRM, order management system, or authentication provider so the answer is personal to the customer asking it.
The responding step happens across whichever channel the customer is using: web, voice, in-app, WhatsApp, or Messenger. When the question is sensitive, the AI Agent authenticates the customer first. When the customer needs more than an answer, the AI Agent takes action right away.
What's the difference between Kindly and a chatbot?
A traditional chatbot follows a scripted decision tree. It can only answer questions its scripts were written for, and it fails when customers phrase things unexpectedly.
Kindly is built differently. Its AI Support Agents combine traditional dialogue flows with generative AI grounded in your business data. Customers ask questions in their own words, and the AI Agent recognises the intent across the misspellings, half-questions, and rephrasing. The AI Agent connects to your business systems to take action, not just respond. It hands over to a human colleague when the moment calls for it, with the full conversation in tow.
A pioneer in the category since 2016, Kindly was one of the first platforms to move from traditional chatbot architecture to AI Support Agents, combining the structured authoring of conventional chatbots with proprietary machine learning and generative AI.
Kindly is built differently. Its AI Support Agents combine traditional dialogue flows with generative AI grounded in your business data. Customers ask questions in their own words, and the AI Agent recognises the intent across the misspellings, half-questions, and rephrasing. The AI Agent connects to your business systems to take action, not just respond. It hands over to a human colleague when the moment calls for it, with the full conversation in tow.
A pioneer in the category since 2016, Kindly was one of the first platforms to move from traditional chatbot architecture to AI Support Agents, combining the structured authoring of conventional chatbots with proprietary machine learning and generative AI.
Is Kindly GDPR compliant and where is data stored?
Yes, Kindly is GDPR compliant. Kindly holds an ISO/IEC 27001:2022 certification for its Information Security Management System, signs Data Processing Agreements with all customers, and maintains a public list of subprocessors that are individually vetted against GDPR standards.
Authentication data, conversation data, and platform data are processed and stored in secure data centres within the European Union.
For customers using Kindly GPT, the platform offers a fully EU-based configuration on request, alongside the standard configuration which uses Standard Contractual Clauses as the lawful transfer mechanism. Both options are GDPR compliant. The right configuration depends on the customer's data residency requirements, and is agreed at the start of the engagement.
Authentication data, conversation data, and platform data are processed and stored in secure data centres within the European Union.
For customers using Kindly GPT, the platform offers a fully EU-based configuration on request, alongside the standard configuration which uses Standard Contractual Clauses as the lawful transfer mechanism. Both options are GDPR compliant. The right configuration depends on the customer's data residency requirements, and is agreed at the start of the engagement.
How does Kindly stop AI from hallucinating?
Kindly grounds every generative answer in your business's verified data. The AI Agent does not draw from the model's open training data, only from the knowledge sources, dialogues, and integrations your team has connected.
For the questions where the answer has to be exact, your team uses templated dialogue. The AI Agent reads from the answer your team has authored, word for word, with no generation.
Every conversation is logged, reviewable, and improvable. Your team sees what the AI Agent said, edits the answer if needed, and ships the fix in a few clicks.
For the questions where the answer has to be exact, your team uses templated dialogue. The AI Agent reads from the answer your team has authored, word for word, with no generation.
Every conversation is logged, reviewable, and improvable. Your team sees what the AI Agent said, edits the answer if needed, and ships the fix in a few clicks.
How long does it take to launch with Kindly?
For simple use cases, your team can be live within a day. For more complex deployments, like multiple integrations or use cases across markets, launch typically takes one to three weeks across milestones.
You don't do this alone. Kindly's project management and customer success teams work alongside your team from the first session to the launch, and beyond.
You don't do this alone. Kindly's project management and customer success teams work alongside your team from the first session to the launch, and beyond.
Become an AI Support Leader.
Talk to our team
Build AI support agents that earns your customer's love.
Copyright © 2026 Kindly AS
