The Point: AI projects frequently fail due to lack of strategy and governance; they succeed only when systematically integrated into business objectives and with active employee involvement.
Many companies use AI tools on an ad-hoc basis without embedding them in an overarching strategy. Paul Haberfellner, Managing Director and Co-Founder of Nagarro Austria, emphasizes that governance, clear framework guidelines and systematic support are necessary to realize actual potential.
Companies are currently experimenting with AI solutions in many cases without setting strategic or organizational guidelines. Such isolated implementations result in point solutions – technically functioning individual solutions that neither scale nor complement each other.
Haberfellner points out that successful AI initiatives require three pillars: first, an explicit AI strategy that prioritizes use cases and links them to business objectives; second, a governance model that manages risks, data protection and ethical issues; third, structured support during implementation to ensure employees are not left alone.
A common mistake is to view AI primarily as a technical problem. In fact, the human dimension is decisive: acceptance, training and new work processes must be developed in parallel with technological implementation. Only this way do sustainable effects emerge instead of short-term experiments.
Source: itwelt.at · Published 12 June 2026
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