AI in Vorarlberg

For teams under 50 employees, we recommend the ahead x labs in-house workshop in the beginner variant: half a day, 8 to 20 people, on site at your premises. Output: practical first workflows + a 30-day follow-up plan. For larger teams or specific topics (marketing, compliance, industry), the KI-Kompass check beforehand is worthwhile. Pure online courses are good as preliminary reading, but they do not replace the in-person engagement.

FH Vorarlberg has active research focuses around Smart Production, User-Centered Technologies and digital transformation. The Digital Campus Vorarlberg bundles initiatives across the region. For deeper AI research in the academic sense (LLM architecture, foundation models), JKU Linz (Sepp Hochreiter) and TU Wien are closer to the topic than Vorarlberg institutions.

Vorarlberg SMEs can access funding on several levels: aws (Austria Wirtschaftsservice) at the federal level with AI-specific tracks, FFG for research collaborations, the Province of Vorarlberg with its own programs for digitalization. The Wirtschaftskammer Vorarlberg is the natural first point of contact for initial advice. Which funding fits depends heavily on the project type; consulting, research, implementation or training each have their own pots.

ahead x labs currently runs invitation-only; open booking will follow with a clear pricing logic (daily rate + material costs). Specific market prices vary strongly by provider, the trainers' experience, customization and industry depth; a blanket price range cannot seriously be stated without a current survey. More important than the price is the substantive fit: a high share of hands-on practice, visible AI experience of the trainers, a clear output promise. Pure slide presentations bring little regardless of the price.

Three steps: First, identify the use case (which process has the greatest potential?). Second, a data audit (are the necessary data even available and of suitable quality?). Third, a pilot in a clearly defined area before scaling is decided. With Vorarlberg industrial companies we often see that step two is underestimated; many problems are not AI problems but data problems.