68% of manufacturers can't find qualified workers. 2.1 million positions will go unfilled by 2030. This masterclass shows how leading manufacturers are deploying a tireless digital workforce — eliminating downtime, defects, and operational surprises — and generating $3.70 for every $1 invested.
Your Host
David Ting is one of the most recognized AI and digital transformation leaders in manufacturing technology today. As Chief Technology Officer at Bespin Global — an 8-time Gartner® Magic Quadrant™ Leader for Cloud MSP — he leads the strategy and product development of enterprise AI systems that are actively deployed on production floors across North America.
David brings over 30 years of technology leadership to this masterclass, with deep expertise in convergence of IT and Operational Technology (OT) systems, production-grade vision AI, and agentic AI deployment in complex manufacturing environments. His practical, no-hype approach to AI strategy has made him a trusted voice for CTOs, CIOs, and factory directors navigating the shift from reactive automation to fully autonomous operations.
The Manufacturing Reality
American manufacturing is facing a structural crisis that cannot be solved by hiring more workers or adding conventional automation. Four compounding forces are converging simultaneously.
68% of manufacturers struggle to find qualified workers today. By 2030, 2.1 million positions will remain vacant, costing the industry $1 trillion annually in lost productivity.
Most facilities collect operational data, but micro-stops go unanalyzed, real-time station visibility is limited, and manual workflows slow critical decisions by hours or days.
Quality escapes reach customers. Scrap-heavy, rework-intensive lines compound operator fatigue. Human and setup errors create chronic bottlenecks on key stations.
Safety incidents and near-misses on the production floor remain a persistent risk — one that traditional surveillance and reactive response systems cannot adequately prevent.
New operators take months to reach full productivity. Skilled workers can be many times more productive than a less experienced counterpart, yet the knowledge gap grows as veteran workers retire.
Manufacturers deploying Agentic AI today run leaner, forecast better, and operate with fewer surprises. The window to build a defensible operational advantage is closing.
Traditional automation tells you what happened after it's too late. Predictive AI tells you what might happen. Agentic AI takes autonomous action before problems occur — adjusting parameters, routing around failures, and only escalating to humans when genuine intervention is required.
What You'll Learn
Six concrete modules built from live production deployments. Each session maps a dimension of AI readiness that most manufacturers address too late — or not at all.
We map the four core challenge categories affecting manufacturing performance today: talent shortages, operational visibility gaps, production efficiency constraints, and safety & quality risks. You'll identify precisely where your greatest ROI opportunity sits before the session ends.
We draw a clear line between traditional automation, predictive AI, and Agentic AI — and demonstrate why the third category represents a fundamental paradigm shift. Agentic AI doesn't just execute tasks. It thinks, adapts, and acts autonomously in real time, including when your best technician calls in sick.
Deep dive into four proven deployment categories with validated business outcomes: Predictive Maintenance (3–5× ROI in 12–18 months, 30–50% downtime reduction), AI Quality Control (95% defect detection accuracy, 30% labor cost reduction), Supply Chain Optimization (35% inventory improvement, 15% logistics cost reduction), and Connected Worker Augmentation (20–30% productivity gains, dramatic reduction in training time).
Walk through the AccelVeo platform architecture — built on AWS and Google Cloud — that connects your factory floor OT data to enterprise IT systems through 270+ connectors. See how the Anomaly Detection Agent, Equipment Maintenance Agent, Shift Manager Agent, Yield Optimization Agent, and Root Cause Analysis Agent work together as a coordinated digital workforce.
A concrete deployment roadmap: Assessment & Planning (1 week), Pilot Deployment on 1–2 critical lines (2–3 weeks), Scale & Optimize across facility (3–4 weeks), and Continuous Improvement. We cover investment stages, success metrics, and how to build the business case for leadership sign-off.
The final 15+ minutes are reserved for direct questions to David. Whether your challenges involve legacy OT infrastructure, data maturity, organizational readiness, or stakeholder buy-in — bring your most pressing questions and receive frank, experience-based answers in real time.
Operational Reality
Agentic AI doesn't replace your people — it eliminates the operational surprises, blind spots, and bottlenecks that prevent your team from performing at their highest level.
Monitor equipment health 24/7, detect anomalies before failure occurs, automatically schedule preventive maintenance, and reroute production when issues arise — reducing MTTD from hours to minutes and MTTR from days to hours.
Achieve 95% defect detection accuracy using edge vision AI. Automatically classify defects, flag quality escapes before they reach customers, and reduce manual inspection time by 50% — all without adding headcount.
Provide real-time guidance to junior operators through AR interfaces, dramatically compressing ramp-up time. When your senior technician is unavailable, an AI agent ensures procedures are executed precisely — every shift, every station.
Analyze production data in real time, surface actionable insights to shift managers, identify chronic bottlenecks, and continuously optimize yield across lines — delivering 15% throughput improvements without capital expenditure.
Next Step After the Masterclass
The masterclass reveals the strategy. The pilot proves it on your production lines. Bespin's de-risked engagement model delivers a working Agentic AI pilot in 8 weeks — with live operational metrics from day one.
Deploy on 1–2 critical production lines · Measurable operational impact · Guaranteed working pilot in 8 weeks
A structured, de-risked engagement built for manufacturing operators who need to demonstrate ROI before committing to enterprise-scale deployment. Not a proof of concept. A production-grade pilot with defined success criteria.
Exclusive Masterclass Attendee Benefit
Every live attendee qualifies for a complimentary 1:1 Manufacturing Transformation Call. In this session, Bespin's team will assess your current infrastructure and data maturity, identify your highest-impact AI applications, and design a pilot program with clear success metrics — at no obligation.
Transformation calls are reserved exclusively for masterclass attendees. Capacity is limited to ensure quality of engagement. Attendance at the live session is required to qualify.
The manufacturers deploying Agentic AI today will be running leaner, faster, and smarter by the time you finish evaluating. This is where your transformation starts — in 60 minutes, free, live.