AI agents are being deployed – but not to full effect (www.techradar.com)

A recent analysis reveals that despite 88% of UK enterprises actively deploying AI agents, only 20% have achieved measurable business impact. This discrepancy highlights a critical issue: organizations often conflate deployment with effective utilization. The initial focus on cost reduction as the primary business case for AI agents is yielding to a broader recognition that their true value lies in improving operational efficiency and enhancing user experience. As companies increasingly shift to live operations, they are realizing that deployments designed solely for cost savings may overlook key indicators of success, such as faster incident resolution. Moreover, several barriers contribute to underperforming AI agent implementations, including skills gaps, poor business case definitions, and inadequate data quality. Effective adoption hinges on worker perception—agents must be seen as superior to existing processes to drive acceptance. Additionally, the lack of clear success metrics complicates the ability to quantify value creation, particularly in IT management where metrics like Mean Time To Resolution (MTTR) are crucial. Organizations must prioritize understanding what success looks like and align their AI initiatives accordingly, ensuring that governance and integration strategies evolve alongside technological advancements to foster sustainable growth.