The Future of Continuous Improvement: Beyond Reporting
Why Digitizing Paper Isn't Improvement — and What AI-Assisted CI Actually Looks Like
July 22nd, at 10 am ET | 4 pm CET
Virtual Event
Most manufacturers have digitized their forms without digitizing their thinking — and improvement programs that launched with energy quietly erode within months. The goal of CI hasn't changed in 50 years. What's changed is whether organizations build the closed-loop culture to make it stick, and whether they use AI to accelerate the fundamentals or just add another dashboard.
Join us to go beyond reporting.
In this webinar, you'll learn:
Why CI programs fail even when the tools are right
Where CI succeeds — data-driven RCA, closed loops, and a culture that celebrates the people driving wins
How AI agents and Agentic Studio shift operators from reporting problems to solving them
Real results from L'Oréal and USG — CI wins when process, data, and AI work together
Meet the Speakers
James Gardner
Director Of Global Pre-Sales
James Gardner is a manufacturing technology leader with global experience across 100+ plants. He’s passionate about bridging digital strategy with frontline execution to drive scalable, data-driven improvement.
Phil Young
Digital Transformation Project Lead
Phil brings 30+ years of packaging experience as Digital Transformation Lead at Poka. He partners with manufacturers to scale Connected Worker programs that deliver measurable results. With deep TPM and WCOM expertise, he connects people, process, and technology to drive sustainable performance.
Who is this webinar for?
Built for Teams Facing:
CI or Operational Excellence programs that have plateaued after going digital. The tools are in place, but the numbers haven't moved
Lean and Six Sigma practitioners trying to get frontline teams to engage with improvement cycles instead of just complying with them
Plant and operations managers who are drowning in data but struggling to turn it into prioritized action
Leaders evaluating AI tools for the factory floor and trying to understand what AI can genuinely accelerate and what still requires a human
Organizations where improvement initiatives launch with energy and erode within months, and the culture piece remains unsolved
