Leaders Rethink AI Partnerships with New Evaluation Approach

As initial investments in artificial intelligence fail to deliver widespread strategic advantages, business leaders are adopting a more critical approach to selecting AI partners. Despite billions invested in AI, research from MIT's Project NANDA indicates that only 5% of companies report a return on their enterprise spending. Many organizations have seen improvements in specific departmental workflows but not across the entire enterprise.

The gap between AI hype and tangible outcomes necessitates greater C-suite involvement in future investment decisions. A new evaluation process is emerging, focusing on quantitative key performance indicators (KPIs) that reflect an enterprise-wide view of AI's strategic role. This shift moves beyond departmental testing to broader organizational impact.

Industry-specific alignment and customization are becoming key requirements. Generic AI tools often lack the context, accuracy, and usability needed for specific enterprise goals. Leaders are now asking AI suppliers to demonstrate industry alignment through integrations, custom solutions, and compliance with sector regulations. For instance, in retail and consumer packaged goods, AI tailored for the sector can address supply chain challenges, reduce waste, and prevent stockouts.

Furthermore, the role of AI agents capable of analyzing cross-departmental data and taking action with human oversight is growing. The focus is on solutions that overcome organizational silos and drive specific outcomes. By asking targeted questions about customization, data accuracy, and the potential for workload reduction, leaders aim to unlock genuine strategic value from their AI initiatives.