Why AI projects fail

25.10.2025

Artificial intelligence is revolutionizing industry – but the reality shows that many AI projects are not fulfilling their potential.

Artificial intelligence (AI) opens up enormous opportunities for efficiency and innovation. But many AI projects fail. The reason often lies not in the technology itself, but in the basis: insufficient data quality, a lack of robustness and inadequate processes for training and testing AI systems.

Andreas Gruber, Geschäftsführer TRUSTIFAI, das KI-Joint Venture des TÜV AUSTRIA und SCCH:

Clarity in the world of data

With the TRUSTED AI approach, TÜV AUSTRIA has developed a best-practice process that enables companies to set up AI projects correctly from the outset and implement them successfully. “With TRUSTED AI, companies ensure clarity in the world of data and raise the reliability of their AI systems to a new level,” explains Andreas Gruber, Managing Director of the TÜV AUSTRIA – Software Competence Center Hagenberg joint venture TRUSTIFAI: “TRUSTED AI means: fewer risks, more security and a significantly higher success rate when implementing AI in critical applications.

Gaining a competitive edge with trustworthy AI

There is still a reluctance to use AI in sensitive areas in particular – not least because of the requirements of the European AI Regulation (EU AI Act), says Gruber. Yet there is enormous potential here in particular. “Companies that act early and use AI beyond simple applications such as text generation or image processing will secure a decisive competitive advantage.” With TRUSTED AI, TÜV AUSTRIA supports companies in developing AI solutions that meet regulatory requirements and are reliable, robust and future-proof at the same time.”

TÜV AUSTRIA AI whitepaper

The recently published TÜV AUSTRIA AI whitepaper “Safe and Certifiable AI Systems: Concepts, Challenges, and Lessons Learned” is available free of charge at en.tuvaustria.com

More about TRUSTED AI by TÜV AUSTRIA

Whitepaper „Safe and Certifiable AI Systems“

The recently published TÜV AUSTRIA AI whitepaper “Safe and Certifiable AI Systems: Concepts, Challenges, and Lessons Learned” is available free of charge at TRUSTED AI.

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