Industrial firms turn to AI agents to bridge workforce capacity gap

The widening capacity gap—the chasm between required output and available human labor—is now a primary drag on factories, utilities, and supply chains. According to research from The Futurum Group, 77% of decision-makers have shelved strategic projects simply because their teams lacked the bandwidth to execute them. In response, businesses are investing in digital workers at a two-to-one ratio, favoring automation that integrates directly into existing software rather than standalone pilots.

While the appetite for automation is growing, trust remains a significant hurdle. Only 5.7% of leaders currently feel comfortable letting AI act with full autonomy, a skepticism that favors human-in-the-loop models. The IFS Loops Agentic Platform, for instance, automates 60% of transactions end-to-end, reserving the remaining 40% for human validation. This hybrid approach is already yielding results for companies like Kitron Group, which is deploying purchase-to-order digital workers across 13 global sites. During the rollout, one agent identified a decade-old part-number error that had previously escaped manual detection, suggesting that digital workers can actively improve data integrity while streamlining procurement workflows.