An AI programme where the COO did the homework too
Managers and internal experts at Raiffeisen Leasing learned generative AI on their own work. The COO, Beat Mungenast, built one of the first use cases and invited colleagues to copy it.
Starting point
Raiffeisen Leasing finances vehicles and fleets for individuals, businesses and municipalities, and belongs to the Raiffeisen banking group in Austria. In 2025 its leadership wanted staff to work confidently with generative AI. Much of the daily work followed routine administrative patterns, and many people met AI with caution.
Programme
We ran two tracks from February to April 2025. Each started on site. Teams then worked on a task from their own department for two to four weeks and came back for a review.
AI Pioneers track
Selected internal experts spent 5 hours on site, building practical prompting skills on real business cases.
Management track
The leadership group spent 5 hours on site on what AI can do in a leasing business and how to lead a team through that change.
Working phase and review
Teams developed their own use cases between the sessions. In a 90-minute online review, each team showed its results and got concrete feedback.
Team pilots
At the management review on 22 April 2025, five teams showed what they had built.
Monthly management letter
Beat Mungenast and a colleague built a system that drafts the letter from the management board. They estimated a saving of 2 to 3 hours per month, then filed the documentation in a shared folder and invited everyone to copy it.
Risk indicator explanations
One team built a tool that explains risk indicators. They learned how much simpler the Excel input had to be, and found the audience small for now.
Sales leads
One team tested AI for customer segmentation and lead qualification. Results improved once they limited the question to a few variables, such as industry and region.
Audit reports
One team adapted prompts to analyse internal audit reports. They saw that one large prompt had to become several smaller steps, and that the idea needs more refinement.
Regulator newsletters
One team tried to summarise newsletters from the Austrian Financial Market Authority. The source material was thin, which limited the results, and the team learned to use AI to improve its own prompts.
Results
- 10+AI-supported project concepts
- 2tracks, for experts and for leadership
- 5team pilots shown at the final management review
- 2–3 hper month saved on the management letter
The time saving is the team's own estimate.
Data preparation was the most common obstacle, and complex tasks worked better in small steps.
Beat Mungenast on the workshops
The AI workshop [...] was very valuable for Raiffeisen Leasing. The content was comprehensive, but directly applicable to our business. We got a clear overview of AI in banking and developed concrete ideas for automation. An inspiring and rewarding day!
Der KI-Workshop mit Dr. Fraunberger war für Raiffeisen Leasing sehr wertvoll. Die Inhalte waren umfangreich, aber direkt anwendbar auf unser Geschäft. Wir haben einen klaren Überblick über KI im Bankwesen erhalten und konkrete Ideen zur Automatisierung entwickelt. Ein inspirierender und lohnender Tag!
Beat MungenastManaging Director (COO), Raiffeisen-Leasing GmbHAI training for your leadership team
Managers learn AI on their own work and finish with a use case they can show.
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