Q&A: Where to Use AI and Where in Business Operations

Integrating AI into Business Operations is Ensuring The Quality of The Data Used

Artificial intelligence is transforming business, but leaders still face tough choices about when to rely on AI and when human judgment is essential. This article, Bill Remy, CEO of TBM Consulting Group, who brings more than 40 years of leadership experience in manufacturing and operations, talks about how C-Suite executives approach these decisions.

Bill Remy’s career was shaped by his upbringing in various regions of the U.S. and an early interest in both agriculture and technology, leading to four decades of experience in manufacturing. He described a memorable early mistake—presenting to the wrong screen—that taught him to value perspective and the bigger picture in business.

Currently, Remy is focused on digitizing operations and integrating AI into manufacturing at TBM, highlighted by a new partnership with iObeya to modernize performance tracking and collaboration. He emphasized that successful AI integration depends on high-quality data and that, while AI is useful for routine tasks, human oversight is essential for critical and empathetic roles.

Remy stressed the importance of practical, ethical AI use, particularly for knowledge management as experienced workers retire, and described how combining AI analysis with human judgment can drive business growth. He outlined five core principles for AI adoption—data quality, human oversight, AI literacy, empathy, and validation—and believes that while AI will revolutionize knowledge sharing, human skills will always be key in decision-making and personal interaction.

Frequently Asked Questions

When is AI most useful in business operations?

AI is most useful for routine, data-heavy tasks like analysis, monitoring, and knowledge retrieval, as long as the underlying data is high quality and well-governed.

When should leaders rely on human judgment instead of AI?

Leaders should rely on humans for critical decisions, complex trade-offs, and any work that requires empathy, context, and relationship-building with employees, customers, or partners.

What principles should guide AI adoption in operations?

Effective AI adoption rests on five principles: strong data quality, consistent human oversight, AI literacy, empathetic use, and validation of AI outputs with human judgment.

Meet the Expert

Bill Remy

Chief Executive Officer & Board MemberEmail Bill

Bill Remy is the CEO of TBM Consulting Group and serves on the TBM Board of Directors. His career expertise includes deep knowledge of operational performance improvement, site transitions, acquisition integration, new product development and supply chain management.