AI Experiences: every touchpoint, reimagined
Your customers expect more than quick answers; they expect experiences that are relevant, faster than they can search themselves. We help you build those experiences: from conversational AI and intelligent personalisation to agentic commerce and interfaces that adapt themselves.
From PoC to production: AI that works under real conditions, not just in a demo
Every touchpoint as a starting point: chat, search, payment, browse, fully connected
AI-driven search interfaces that translate complex information into direct answers
Guardrails and observability as standard, not as an afterthought
Proven in production: from energy networks to payment providers and theme parks
Independent of one platform, we choose what fits your context
Conversational AI
Customers ask complex questions, even outside business hours. We build conversational AI that conducts real conversations, consults the right sources and safely routes sensitive questions. From virtual agents to AI-driven search interfaces.
Read moreAI Personalisation
Everyone sees the same page, but no one has the same needs. We help you set up personalisation that works at scale: from per-user interface adjustments to segment-driven content across all channels.
Read moreAdaptive & Generative UI
Tomorrow's interface adapts to the user, not the other way around. We explore and build UIs that generate or rewrite themselves based on context, from accessibility features to fully AI-driven interaction layers.
Read moreAgentic Commerce
AI agents increasingly become buyers themselves. We help you make products and services available via standards like MCP, so you're reachable for the next generation of automated transactions, as Worldline did as the first major payment provider.
Read moreAgent Experiences
Chatbots ask questions and give answers. Agents take action. We help you make your digital ecosystem agent-ready: with the right tooling, integrations and architectural choices so AI can act on behalf of your customers.
Read moreAI Engineering
The gap between a working demo and scalable production AI is larger than it seems. Our AI Engineering team bridges that gap: with evaluation, observability, guardrails and the infrastructure that makes AI reliable long-term.
Read more
Our approach to AI Experiences
Building AI Experiences isn't a UX project with a language model attached. It requires a thoughtful connection between customer need, architectural choice and operational reliability. We always start with the question: what experience do you want to give your customer, and what does it take to deliver that sustainably?
From experiment to production
A PoC convinces a boardroom, but doesn't solve your customer's problem. We build AI Experiences that go live and stay live: with evaluation frameworks, observability and guardrails as a standard part of the journey, not as a final step. AI Strategy and AI Rapid Prototyping help you choose the right starting position.
Every touchpoint as part of the whole
AI Experiences work best when they're connected, to your CMS, your payment infrastructure, your CRM and your data. We think through the full chain: from the first interaction to the completed transaction. AI Infrastructure and AI Orchestration lay the foundation on which experiences run.
Technology that fits your context
We're not bound to one platform or vendor. Whether you work with Azure AI Foundry, Google Cloud, OpenAI or your own stack, we choose the combination that fits your organisation, your existing landscape and your objectives. AI Operations ensures what you build is also scalable to manage.
Why work with iO?
Proven in production, not just on paper
From a conversational AI for an energy network serving all Dutch households, to an agentic commerce implementation for one of Europe's largest payment providers, our AI Experiences are live and scalable, not just as prototypes.
Engineering and design in one team
AI Experiences are technology and design at the same time. Our AI Engineers and Experience Designers work together from the first sketch, so what you promise to your customer is also technically feasible and reliable.
Independent advice on platforms and tooling
We work with multiple leading platforms, not to push one vendor, but to choose the solution that truly fits. Etex runs on Azure AI Foundry; Worldline on Google Cloud. Your context determines the choice.
From customer interaction to business impact
A better search experience is nice, but lower support load or higher conversion is better. We connect AI Experiences to the KPIs that matter to your organisation, and help you explain that to your leadership too.
AI experiences in practice
Platforms and technology we deploy
We choose the platform that fits your context, not the platform we happen to know best. Our AI Engineers work with tools that perform reliably in production.
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Elasticsearch
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ElevenLabs
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Google Cloud AI
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Langfuse
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MCP / Spring AI
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OpenAI
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