Bridging the Capacity Gap

A person wearing safety gear operates a tablet in an industrial setting.

By the Numbers

  • Industrial decision-makers and leaders surveyed

  • %

    of employee time is spent on manual, repetitive work

  • %

    of enterprises are planning to invest in agentic AI within 12 months

Across manufacturing, energy, logistics, construction, aerospace, and telecom, teams run out of hours before they run out of work. 77% of enterprises have delayed a strategic initiative for lack of capacity, and most operational time still goes to manual, repetitive tasks. Agentic digital workers are emerging as the way to close that gap in production, not in pilots.

 

Based on a Futurum survey of 664 industrial decision-makers and six IFS customer deployments, this report maps where enterprises sit today: 63% at the copilot stage, 22% semi-autonomous, and only 10% mostly autonomous. It examines why 67% of AI projects stall at half production or less, and what separates the deployments that scale — integration, governance, and human-in-the-loop design. It also looks at the institutional knowledge gap: 75% of firms need four or more months to onboard, and most operational knowledge stays undocumented.

 

Inside, you will find results from KLN Family Brands, CDF Corporation, Ependion, AirBoss, Sims Crane, and Kitron Group — 27 hours a week reclaimed, 13 factories connected, and zero-touch order processing. With 66% of enterprises planning to invest in digital workers within 12 months, the report gives you the survey data, the six deployments, and a practical playbook for closing the capacity gap in your own operations.