Articles
How AI reaches the actual work.
Practical material on corporate AI adoption: how a programme is designed, what to measure, where each department starts, and what the regulation requires.
All articles
Programmes8 min read
Designing AI pilot programmes: from hype to evidence
Scattered experiments create noise. A disciplined pilot creates evidence you can make a decision with.
By department7 min read
AI for marketing teams: from experiments to everyday workflows
Marketing is full of repetitive, pattern-based tasks. That is exactly where AI pays off fastest, without touching strategy or brand voice.
By department7 min read
AI for finance teams: use cases and an adoption playbook
Finance work is structured, repetitive and data-clean. Those are exactly the conditions where AI pays off quickly and measurably.
By department7 min read
AI for operations: turning processes into quiet wins
Operations is high-volume, rule-bound and data-rich. That is where AI reduces manual load without taking over the decisions.
Questions10 min read
Corporate AI adoption FAQ: the questions HR and leaders ask
The questions that come up in the first conversation, answered in plain language and without promises we can't keep.
Regulation8 min read
The EU AI Act and AI literacy: what it requires of you
Since 2 February 2025, companies in the EU have a legal obligation to ensure their staff understand the AI tools they use. Here is what that means in practice.
Want the same at your company?
Twenty minutes is enough to work out where it makes sense to start and what can actually be measured.