The manufacturing world is undergoing the most profound shift in a generation
Manufacturers embracing AI today are already seeing:
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- 20-30% cost advantages
- 30-40% gains in operational efficiency
- Up to 60% fewer defects
- Break-even in as little as 9 months
ABOUT OUR
WORKSHOP
For Leadership Teams, the workshop sharpens clarity, aligns priorities, and defines the roadmap ahead.
For Operational Teams, it turns strategy into action — prioritizing use cases, shaping an implementation plan, and preparing early pilots.
From preparation to execution, participants leave equipped with a customized 90-day transformation plan aligned to their readiness, priorities, and path to scale.
Day 1 - Executive Intensive
Day 2 - Practical Implementation
01
The AI Imperative in Manufacturing
See how AI front-runners pull ahead on cost, quality, and throughput—and why those gaps widen. Learn the four forces pushing manufacturers toward AI, ready or not. Pinpoint your position on the benchmark curve and what it signals for competitiveness. Spot the KPI patterns that quietly indicate rising operational risk.
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Interactive Components​
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Instant AI readiness & maturity score
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Competitive positioning matrix
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Force-field analysis revealing where urgency exceeds capability — and what to do next​​
02
AI Readiness Assessment
Assess the real strength of your data foundation, the depth of your technical capabilities, the maturity of your culture, and the clarity of your strategic alignment. Understand not only where you stand today, but how prepared you are to scale AI responsibly and sustainably.
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What participants walk away with​
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A quantified readiness score to anchor transformation
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The top three gaps slowing or blocking adoption
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A prioritized “first wins” list to jump-start momentum
03
High impact, Low-Risk AI Use Cases
Discover practical, proven AI use cases: computer vision for real-time quality inspection, predictive maintenance powered by ML, throughput-boosting optimization models, demand forecasting that sharpens planning accuracy, and digital twins that enable safe scenario testing and line simulation.
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Bring it to life through hands-on application​
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Case study deep dive: How a global appliance manufacturer scaled high-value AI wins
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Group breakout: Match the right use cases to different production environments and identify where ROI appears fastest​
01
Building an AI Roadmap
Transform concepts into execution. Build a focused use-case shortlist, confirm data requirements, map stakeholders, outline a pilot-to-scale sequence that reduces risk, and define the budget and resources needed for responsible deployment—so your plan is both practical and fundable.
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Interactive Components​
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AI readiness template
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ROI calculator
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Use-case scoring matrix
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Implementation roadmap
02
Measuring ROI & Proving Value
Learn how AI leaders define KPIs that matter—cost, quality, throughput, downtime, OEE—and what realistic ROI looks like from Month 3 to Month 24. Understand how to communicate value to senior leadership to speed approval, funding, and enterprise-wide momentum.
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Hands-on application​
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Teams build a complete ROI model for a selected use case, including KPIs, projections, value pathways, and long-term financial impact​
03
Ethical, Safe and Responsible Use of AI
Explore responsible AI through four critical lenses: employee impact and change management, transparent and fair decision-making, data governance and privacy expectations, and human-centered design that augments people rather than replaces them—ensuring AI adoption is ethical and sustainable.
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Interactive Components​
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Overcoming resistance and shaping constructive adoption
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Creating fast-win cycles that build belief and momentum
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Communicating AI’s value across roles and functions
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Establishing culture and governance that support safe, scalable AI​​
For organizations aiming to compete stronger, improve faster, and elevate performance, these performance accelerators provide the next level of advantage.
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On-site process assessment
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Follow-up coaching (30,60,90 days)
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Custom use case development
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Site level digital maturity audits
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Coordination of site visits to innovation hubs like The Smart Factory and MxD's Digital Manufacturing & Cybersecurity Institute.
Industries that could benefit -
and where we have deep expertise
Oil & Gas
Asset-heavy environments benefit from predictive maintenance, safety analytics, risk modelling, and process optimisation — all areas we handle extensively.
Discrete Manufacturing
Precision operations, batch production, and complex workflows make this sector ideal for AI-enabled efficiency, defect reduction, and predictive maintenance.
Printing & Packaging
Fast-turnaround operations with tight margins gain from AI-driven scheduling, real-time quality inspection, and material-use optimisation.
Food & Beverage
High-volume production, perishability, and rigorous compliance create strong ROI opportunities in automation, traceability, quality control, and demand forecasting.
Automotive
From supply-chain optimization to robotics and production analytics, this sector’s transformation aligns with our expertise in complex industrial environments.
Logistics & Warehousing
AI-driven demand planning, route optimization, inventory accuracy, and workforce scheduling streamline operations, cut costs, and boost end-to-end performance.