Case studies · 01

From the classroom
into the processes.

AI adoption — consulting and training firm

AI was already inside the company, through the back door. Everyone used whatever tool they preferred, on their own terms, with no shared answer to the two questions that stop everybody — where does our data end up, and who is responsible for the output.

The risks were organisational. Skills drifting apart, know-how leaving without anyone noticing, and usage staying at the level of personal curiosity instead of becoming organisational capability.

Progressive seminarsWorkshops per business unitProcess mappingLow-hanging fruitAgents on existing methodsGDPR and the AI Act
Foundations
How the tools actually workA non-technical mental model: how models generate content, the difference between generation, search and knowledge, extracting data from documents and images, the role of context, and why they get things wrong.
Risk
Informed use and riskWhat happens to the data: input, processing, output, where it lives. GDPR and the AI Act framed practically, protecting know-how, the risks of leakage and of misusing output.
Automation
Productivity and automationFrom single task to process: recurring patterns, deterministic automation, an introduction to agents, and above all when to automate and when not to.
Workshops
With each business unitThis is where the programme stops being training and becomes analysis. Dedicated sessions with every business unit to understand how the work actually happens: which steps repeat, where time is lost, which controls are non-negotiable. The low-hanging fruit falls out of that — what can be improved immediately, without rewriting how people work.
Design
Agents shaped around existing methodsThe agents come out of the mapping and follow the methods the organisation already has, instead of asking it to adapt to them. A tool built that way gets adopted; one that imposes its own gets worked around inside a month.
Over time
Short recurring briefsBrief, regular pieces built on seminar feedback and on observed usage: summarising long documents, extracting structured data, deep research, regulatory updates.

By the end people do the same things better and faster, and the organisation can do things it could not. The seminars build the shared language, the business-unit workshops find where to actually intervene, the agents consolidate the gain, and the recurring briefs stop the whole thing fading after a month.

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