Beyond the Hype: Strategies to Capitalize on Agentic AI in Modern Manufacturing

Manufacturing leaders have heard the promise of AI for years. Most aren’t seeing value. In fact, a new study revealed that 78% of manufacturing executives believe they have agents running in production, yet only 28% actually do. The data also reveals a stark divide between the companies capturing that value, and everyone else.

July 23, 2026

Sponsored by

Drawing on the State of Enterprise Agentic AI in 2026 — a study of 740 AI and business leaders across $5B+ enterprises in North America and Europe — this webinar delivers an unfiltered look at where manufacturing stands in the agentic AI race and what it takes to pull ahead.

Join Jeff Evernham as he unpacks why most manufacturers are stalling, what the 28% are doing differently, and the concrete steps your organization can take to move from AI experimentation to measurable operational impact.

What you’ll learn:

The real state of agentic AI in manufacturing: how manufacturers stack up against cross-industry benchmarks and what agent washing is costing organizations that fall for it
The connectivity and data crisis: why legacy infrastructure and siloed data are blocking deployment, and what it means to build a digital thread agents can actually use
The governance gap that creates physical risk: why 51% of organizations lack adequate agentic governance frameworks, and how leaders are turning governance into a competitive advantage
The use cases generating real ROI: what manufacturers capturing the most value out of AI are using it for
A practical roadmap for moving forward: four actionable steps to close the connectivity gap, prove out high-value use cases, and build trust into your agentic infrastructure

Who should attend:

Manufacturing executives, IT and operations leaders, and AI decision-makers at large enterprises who are under pressure to show results from AI investments, and want to know exactly where to focus next.

Jeff Evernham

Head of Innovation

As the Head of Innovation, Jeff Evernham sets the strategy for Agentic AI powered by RAG, so that companies can make the most of their content with generative AI. Jeff is a thought leader in applying search, AI and GenAI, LLMs, and RAG (retrieval augmented generation) to solve business problems so that companies make the most of their information assets to accelerate innovation, inform decision-making, and improve outcomes. Jeff previously led Sinequa’s Customer Solutions group, and his 30+ year career spans a variety of firms and includes data analytics, business intelligence, consulting, and professional services. He holds Bachelor’s and Master’s degrees in Aerospace Engineering from MIT.