Our AI adoption services
Role-based generative AI training
A content editor, sales manager, and financial analyst have completely different needs. We design and deliver role-based AI training that aligns with the daily tasks and challenges of specific functions, ensuring immediate relevance, practical usage and faster adoption.
Prompt engineering workshops
Our prompt engineering workshops teach employees how to query AI tools effectively, from fundamentals to advanced techniques for complex workflows. Teams learn to craft prompts that deliver consistent, valuable results.
AI hackathons
A well-organised hackathon delivers more than prototypes: it builds organisational support for AI investment. We facilitate hackathons that validate concrete AI use cases and bring teams into the 'what can AI do for us?' conversation.
AI adoption playbooks
How does your organisation embed AI into daily working routines, not as a project, but as a structural way of working? We develop bespoke adoption playbooks tailored by role and department, with concrete actions, governance steps and measurable milestones.
Change management for AI programmes
AI transformation succeeds or fails through organisational change. We help you design change management that gives your AI programme organisational backing, from stakeholder communication to internal ambassador programmes and feedback loops.
AI in daily operations
The end goal of adoption is AI embedded smoothly into operations, without requiring daily attention. Superunie exemplifies this: their operations team went from initial process analysis to live production in six weeks. Review moderation, semantic search, and segment personalisation now run in production, freeing teams to focus on what matters most.
Let’s discuss your AI adoption challenges
Our approach to AI adoption and enablement
Our philosophy is simple: successful AI adoption means the technology becomes immediately useful, repeatable and relevant for each person using it. The real measure of success isn't training completion rates, it's whether teams are structurally working differently with AI three months later. This requires moving beyond traditional project-based training cycles to an integrated approach that embeds adoption into the delivery process itself.
Adoption and delivery as one programme
While consultancies deliver adoption frameworks, we deliver working AI that fits your existing workflow and guide change from within that same technical context. That's the difference between an adoption plan and adoption that works in practice. At SBB, our AI literacy workshop was part of the platform rollout, not an afterthought, resulting in positive feedback across the organisation and active use from day one.
Role-based approach: tailored to each function
A single AI awareness session for a hundred employees rarely delivers real behaviour change. We design role-based AI training that aligns with the actual tasks and challenges of specific functions, from editors and sales staff to IT architects and marketing managers. The more relevant the enablement, the faster sustainable adoption happens.
Quick wins as adoption engine
Organisational support for AI doesn't grow from talking about its potential. It grows from people experiencing what AI does for them. Our approach deliberately starts with quick wins that deliver immediate, visible results. This builds confidence to take the next, bigger step, as our MieleX programme demonstrates, where Phase 1 hackathon results built support for Phase 2's enterprise architecture.
Why work with us?
Adoption and delivery from one integrated team
We build AI platforms and guide adoption from the same organisation, with the same people. This eliminates the gap between what the platform can do and what employees expect. At SBB, this integration was key to broad organisational acceptance from day one.
Structural adoption programmes, not one-off training
Our adoption approach isn't a one-day workshop. The MieleX AI Acceleration Programme is an 18-week structured programme combining quick wins with structural AI capacity building, from hackathon to enterprise architecture, with adoption as the connecting thread.
AI embedded in daily working routines
Adoption doesn't fail through resistance, it fails because AI tools are rolled out separate from workflow. We build AI into the moment of decision, not alongside it. That's not change management; that's product design.
Broad expertise across technical and organisational change
Raymond Muilwijk has led iO's own AI transformation, from internal tooling to customer-facing AI programmes. Tom van Mierlo translates technical AI capabilities into business language. Together, they bring the technical depth and organisational change capability that AI adoption demands.
