2026-07-02
AI for business: where to start when you're an SME
You don't need a data lab to get value from AI. A simple method to identify your first use case and ship it in a few weeks.
Read article →2026-06-30
E-commerce: 5 AI use cases that actually improve margins
Beyond the gimmick chatbot: five concrete AI applications for online stores, from customer support to product pages.
Read article →2026-06-18
Data security: why your AI should stay home
Sending customer data to public AI services isn't inevitable. A look at the real risks, and the architectures that keep your data under your control.
Read article →2026-05-28
GDPR and the AI Act: compliant AI projects without the paralysis
Compliance is not the enemy of innovation. The reflexes to adopt from day one for an AI project that satisfies GDPR and is ready for the AI Act.
Read article →2026-05-06
AI project ROI: how to measure value (and avoid showcase projects)
An AI project without a value metric is a showcase project. The method to define, measure and defend the return on your AI integration.
Read article →2026-04-15
Public LLM, API or self-hosted model: which is right for your business?
Three ways to put a language model into your business processes, three profiles of cost, confidentiality and control. A guide to deciding.
Read article →2026-04-08
AI Value Scorecard: Measure Impact Before and After Deployment
A simple scorecard for tracking quality, cycle time, resource utilization, and cost per process in AI initiatives.
Read article →2026-04-02
Training your teams on AI: the decisive factor projects forget
The best AI tools produce nothing without adoption. How to structure your teams' upskilling, from executives to operations.
Read article →2026-03-26
How AI Automation Reduces Cost Without Reducing Service Quality
Where cost savings actually come from in AI programs, and how to keep quality high while scaling operations.
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