More business analysis than programming
Process-first, not buzzword-first
We start by analysing your business, not the technology. First we find where AI makes sense – then we build.
Measurable return
Every project has a clear business case and ROI metrics. Results are visible – and measurable.
Business, not code
We understand your processes, not just code. We know how to integrate AI so it makes sense for the whole team.
Transparency
We teach you how the system works so you can maintain it. No black boxes.
Four phases to a working AI agent
Opportunity audit
2–3 weeksWe map your processes, assess ROI and deliver 3–5 priority areas with the highest economic potential.
Proof of Concept
1–2 weeksWe build a Minimal Viable Agent and validate it on real data. Target: 95%+ accuracy before integration begins.
Agent integration
1–2 monthsAPI connections to your systems (CRM, ERP, Slack…), human-in-the-loop control mechanisms.
Adoption & change management
ongoingTeam training, workshops, feedback collection and ongoing agent optimisation. AI that keeps improving.
What we can do for you
AI audit & opportunity mapping
We find where AI has real economic sense in your company. You get a prioritised list of areas with ROI estimates.
Agentic AI workflow development
We design and build autonomous AI agents that automate complex processes and make real-time decisions.
AI integration into internal systems
We connect AI to your tools: CRM, ERP, Slack, email, databases. No silos – AI where you need it.
AI training & workshops
Practical training for management and operational teams. Your team gains confidence in AI and learns to use it.
Consulting: data readiness
AI literacy, data strategy, change management and preparation for the AI Act and GDPR.
Why 90% of AI implementations fail
Knowing the obstacles is the first step to avoiding them.
Without strategic intent, AI becomes an expensive toy. Every project needs a clear purpose and definition of success.
Middle management resistance is the biggest killer of AI projects. Without top-down buy-in, nothing takes off.
Employee fear and misunderstanding of AI's role lead to both conscious and unconscious sabotage.
"Automating chaos = faster chaos." Processes must be documented and stable before an AI agent is introduced.
A team that doesn't understand what AI can and can't do can't work with it meaningfully or verify its outputs.
AI is only as good as the data it runs on. Without quality, structure and data governance, it won't work.
The AI Act, GDPR and internal compliance are not optional. Ignoring legal aspects can stop a project entirely.
What our clients say
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The AI studio behind Stride XL
We are the AI division of Stride XL – a design and research studio with expertise in UX, CX and business strategy. We bring this DNA to AI implementations: we don't start with technology, but with a deep understanding of your business.
- We select the most suitable AI model for each case – not the most fashionable one
- We focus on data quality, not just algorithm performance
- We transfer knowledge: we want you to understand and be able to manage AI
Let's find where AI makes the most sense for you
A free, no-obligation consultation. No technical jargon. We start with what you do.