Where strategy meets data: how we're building AI services with Arinti
AI touches every layer of a service. The strategy behind it, the experience people have with it, and the data and technology that power it. To help our clients navigate that full picture, we've partnered with Arinti, a data science and AI engineering team with nearly eight years of experience in applied AI. From sales forecasting and conversational interfaces to data engineering and machine learning in production, they've been doing this work long before generative AI became a boardroom topic.
We already share offices and work on projects side by side. When a client works with us on AI, they get service designers, strategists, and data engineers in the same room from day one.
Gallery
From strategy to measurable impact
For most organisations, the question is no longer whether AI matters, but where it fits. Which processes benefit most? Where does it change how you deliver value to customers? What should you invest in first?
We approach those questions by connecting research, design, technology, and data from the start. Journey mapping, stakeholder interviews, and co-creation sessions help us understand where AI can genuinely improve an experience before we assess what's technically feasible. The result isn't a brainstorm full of ideas. It's a roadmap grounded in your organisational vision, what your customers need and what your data can deliver.
Every experiment should create tangible value: time saved, better service, or clearer insight. That's what turns AI from a vague priority into something actionable. But a good roadmap is only as strong as the data behind it.
Gallery
Built on data, designed for trust
Data is almost always one of the deciding factors. You can have the right use case and full organisational support, but if the data isn't structured, accessible, or of sufficient quality, the project will stall. That's not a reason to wait. It's a reason to know where you stand, so you can invest wisely.
We help organisations get that clear picture: what your data can support today, what needs to happen to move forward, and what you can realistically build on. Not everything needs to be perfect before you start. But you do need to know what works, what doesn't, and where to focus first. From there, it's about iteration: test, learn, improve, repeat. The first application is often the hardest. After that, things accelerate.
That only works when people trust what's being built. So we think about governance from the start, not as a compliance layer, but as part of good design. People should understand what AI does, why it does something, and how they stay in control. We design with respect for privacy, autonomy, and fairness. When people understand what's happening with their data, they're more willing to use what you build. That's where adoption starts.
Gallery
A layered approach
We build digital products and services from strategy through to implementation. That means sharpening strategies, reshaping customer journeys, running pilots, and delivering production-grade software. Today, AI is woven into that work naturally: informing how we design experiences, how we process data, and how we build smarter services. It's not a separate track. It's part of how we develop.
The AI Maturity Benchmark gives leadership a structured assessment across 4 dimensions (vision, strategy, customer experience, data & technology and team & governance) so you know where you stand before committing budget. The AI Vision Workshop helps teams align on priorities and build a roadmap that connects opportunities to strategic goals.
From there, we test concepts with real users before scaling. What works moves into a structural software track, where validated ideas become part of the products and platforms your organisation runs on. Strategy, experimentation, and delivery running together in an iterative cycle, not as separate phases.
Gallery
Design for humans. Use AI with purpose.
Our starting point is always human: what do people actually need, and how can technology make that experience better, faster, or more accessible? AI is a powerful lever in that work, but it's still a lever. We build intelligence that supports people, not replaces them. And we focus on what works, not what sounds impressive.
The conversation around AI is about more than capability alone. Energy use, resource consumption, the digital divide, property rights: these are real considerations that shape how we think about what we build and how we build it. Not every use case needs the biggest model or the most complex setup. Sometimes a hybrid approach or a smaller, local model is the smarter choice. The right solution starts with the right question, not the most powerful tool.
"We've worked alongside Arinti for years. This partnership formalises that, and together we're stronger for it. One team that brings strategy, design, and data together from the start. That's how you make AI work for people, not just for presentations."
Hans Bosmans
Managing Partner - Leap Forward
