Whitepapers & guides

Choosing the right AI platform

Six objective, verifiable criteria decide whether a rollout turns into real adoption – plus a 30-minute test for your own evaluation.

• Six selection criteria as a requirements catalogue
• The 30-minute platform test
• The four most common selection mistakes

The average lies – the AI cost benchmark

Why AI costs must be planned by distribution and adoption, not by the average: a ~€6.50 median compute spend per active user/month, 78 % of cost driven by the top 10 % – from 10,000+ users over 12 months. Plus the steerability playbook.

• The meinGPT benchmark: median spend and the 78 % concentration
• The TCO truth: ~½ is adoption, compute is the smallest item
• The steerability playbook in three levers

AI for professionals bound by secrecy – the § 203 selection criteria

How lawyers, tax advisors, doctors and notaries may use external AI without breaching their duty of secrecy under § 203 StGB – seven objective, verifiable criteria plus a 30-minute provider test.

• The “assisting person under § 203 (3) StGB” construction
• Seven selection criteria as a requirements catalogue
• The 30-minute provider test

Rolling out AI in your company – The 90-day plan

From pilot group to company-wide use: the structured plan that connects technology and enablement – with measurable milestones.

• The 90-day roadmap in three phases
• Six criteria that carry the rollout
• Why AI rollouts fail – and how to avoid it