AI for Manufacturers: How To Start Using AI in Manufacturing — WSI Webinar Series Part 3

AI for Manufacturers: How To Start Using AI in Manufacturing — WSI Webinar Series Part 3

Lisa Kilrea is the Founder of WSI eResults, a leading digital marketing agency that specializes in helping manufacturers, distributors, and B2B companies grow through AI-powered, data-driven strategies. With over 20 years of entrepreneurial experience and a proven track record, Lisa has led WSI Results to deliver standout lead generation and revenue growth in the industrial sector. Her background includes work with major brands like Quaker Oats and BP Petroleum, and she's known for pioneering innovative marketing tactics that blend traditional expertise with cutting-edge digital solutions.

In this episode…

In a world where technology is evolving at lightning speed, businesses are increasingly turning to artificial intelligence to boost efficiency and improve decision-making. But as AI becomes more mainstream, a critical question arises: How can manufacturers move beyond pilot projects and make AI a scalable, impactful part of their operations?

For Lisa Kilrea, the key to success lies in a structured, roadmap-driven approach. She emphasizes that AI is not just a tool but a transformational journey. It's therefore imperative for manufacturers to first build a strong foundation, enabling them to identify, implement, and scale AI initiatives effectively. Through strategic implementation and ongoing optimization, companies can turn AI from a shiny new tech into a core business driver that delivers measurable results.

In this episode of In Good Company: Where Relationships Drive Results, part three of WSI's webinar series, Lisa Kilrea discusses how manufacturers can take AI pilots from mere experiments to scalable successes. She explores how AI adoption starts with creating a strong foundation, then moves through stages of enablement and identification before scaling solutions across the organization. Lisa also shares insights on the importance of governance and employee training to foster AI adoption.

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