AI agents are increasingly used in business, yet many companies remain disappointed with their outcomes. The 2025 IBM Institute for Business Value C-suite Study reveals that only 25% of AI projects yield the expected ROI, and just 16% successfully scale organization-wide. This highlights the gap between ambitious AI goals and real-world application, often due to unrealistic revenue expectations. Effective AI initiatives frequently start with measurable cost savings, enabling quicker benefits and stronger business cases. Companies, such as industrial firms, can leverage AI to analyze vast document arrays, reducing manual labor and improving decisions. To maximize AI value, leaders should adopt a clear, strategic approach, targeting specific high-impact use cases while ensuring flexible technology for broad integration. ROI metrics should encompass not just cost savings but also the introduction of new capabilities. IBM emphasizes that AI solutions are most effective when aligned with overarching business strategies rather than being treated as isolated projects.
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