Case Studies
What actually changed by the end?
Work with real teams: what was done, what came out of it, and what participants said themselves. The figures come from each programme’s own records, and where there is a public account of one, it is linked.
Essity Türkiye
AI in Corporate Life 2.0
Hygiene and health products · One team, one day, seven hours in the room
By the end of the day two thirds of participants reported feeling more confident using AI. What came through in the feedback was not having learned another tool, but noticing how much wider the set of options was.
Read the case67%
of participants felt more confident using AI by the end of the day
Stellantis / TOFAŞ
AI Leadership for C-Level
Automotive · A full day online for senior leadership, within the Sabancı University EDU Digital Academy
What the day produced was not a list of tools but a recalibrated expectation: telling apart where AI is genuinely strong from where human oversight remains non-negotiable. Participant satisfaction was measured above 95 per cent.
Read the case95%+
Participant satisfaction
Neo Skola
AI in the Corporate World
Online learning platform · A self-paced recorded course
951 people completed the course and earned the certificate, at a 60% completion rate: four times the industry average. Satisfaction came in at 4.7 out of 5. It is the strongest piece of evidence on this site, because it shows people choosing to finish in a setting where nobody was making them.
Read the case60%
Completion rate, against a 15% industry average
Hepsiburada
Meeting AI: A Starting Guide for Women Entrepreneurs
E-commerce, community programme · A 90-minute online workshop within the “Yol Arkadaşın Burada” programme
This was outreach rather than a corporate team programme. The aim was not measurable behaviour change but getting entrepreneurs without a technical background to try it once. No outcome measurement of the kind collected on corporate programmes was taken here, so there is no figure.
Read the caseHow would this work for your team?
Every programme is built on that team’s own recurring work rather than a ready-made curriculum. Twenty minutes on a call is usually enough to see what would be worth doing.
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