Session 4 — From Pilot to Performance: How to Measure and Scale Agentic AI
Session 4 of 4 in The Agentic Enterprise, a WORK-SELF webinar series on turning agentic deployments into measurable ROI.
A successful AI demo does not prove that an agent is ready for production.
Before scaling, enterprise leaders need evidence that the deployment is improving the economics and quality of work, not simply producing technically impressive outputs.
This session looks at the measures that matter once agentic AI moves beyond the pilot stage and how organisations can build an evidence base for scaling.
What we’ll cover
Why promising AI pilots often stall before enterprise-wide deployment
What to measure beyond model performance: rework, review time, throughput, adherence and escalation
How controlled comparisons and quality gates can support deployment decisions
How ROI dashboards can help leaders decide what is genuinely ready to scale
Speakers
Wolf Magdelinic, CEO and Co-founder, WORK-SELF
David Edwards
Who it’s for
CIOs, COOs, CFOs, CAIOs, transformation leaders and AI governance leaders responsible for moving agentic AI from experimentation into production.
Part of The Agentic Enterprise, a four-part WORK-SELF webinar series.