Audit your SME's AI setup for real value.
How to measure the actual return on your AI tools, close data privacy gaps, and clean up unused licenses. No slide decks, built on a practical audit scorecard.
SME AI usage often runs completely unmonitored. Employees subscribe to tools, feed sensitive client documents into public systems, or paid licenses sit completely unused. In 60 minutes, Lukas Huber shows you how to systematically audit your AI infrastructure. Learn to measure actual productivity gains, minimize FADP and GDPR compliance risks, and immediately cut unnecessary software spend.
Who is this workshop for?
For Swiss SME decision-makers and managers who want to evaluate the real return on their AI licenses and close security gaps
Your team is already using ChatGPT, Gemini, or Copilot in their daily tasks
You want to know if the monthly AI license costs deliver business value
You want to ensure that no sensitive customer data leaks to US servers
You are a managing director, CFO, or operations lead in an SME
What you'll take away
The 5-point evaluation framework for a structured AI systems audit
How to measure the actual time saved and ROI of your active licenses
The most critical data privacy exposure points in daily AI usage and how to fix them
How to detect shadow AI in your team without killing employee motivation
A step-by-step approach to setting up clear internal AI usage guidelines
Three concrete, immediate actions for next Monday
Agenda
60 minutes · Q&A included
Your speaker
Lukas Huber
Founder, schnellstart.ai
Lukas Huber is an AI and finance consultant helping Swiss SMEs independently audit their processes. Drawing from 16 years of experience in trust services and financial advisory, he translates complex IT topics into clear, business-driven decisions.
Secure Your Spot
The live workshop is hosted online. Settle your spot now. Registration is free and carries no sales pressure.
Frequently asked questions
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In the free 60-minute live workshop, Lukas Huber of schnellstart.ai shows how Swiss SMEs independently audit their AI usage. He shares a 5-point scorecard to measure license ROI and close data privacy exposure under FADP.