In this episode, we welcome Malcolm Peace to discuss the implementation of AI and automation in unique business contexts. He shares insights from his experiences, highlighting not just the technological advancements but also the accompanying HR issues that arise from these integrations. The conversation explores the intricacies of protecting business interests while navigating the complexities of human resources. Malcolm's case study provides a fresh perspective, showcasing how AI is being utilized in ways that differ from the typical digital agency narratives. Join us as we delve into the fascinating intersection of technology and human factors in today's business landscape.
Timestamps:
(2:12) - Blue collar industrial business challenges.
(4:46) - Data management challenges in manufacturing.
(10:35) - Cost breakdown in business.
(12:50) - ERP system implementation challenges.
(16:05) - System adoption in businesses.
(18:48) - AI issues vs. HR issues.
(24:02) - Different viewpoints in organization.
(25:05) - Employee utilization and performance analysis.
(28:36) - Employee accountability in project management.
(32:28) - Mobile task management efficiency.
(35:10) - Automation and AI in business.
(40:11) - Accountability through data-driven decisions.
Key Topics & Highlights:
- Company Background:
- SortRight International: A long-established manufacturer specializing in shrimp sorting machinery.
- The business’s 73-year history sets the stage for a discussion on adapting traditional practices to modern challenges.
- The Digital Transformation Journey:
- Transitioning from manual tracking using Google Sheets and sticky notes to implementing a custom-built ERP system.
- Leveraging tools like Airtable and Slack to communicate ideas, exchange feedback, and build a scalable digital platform.
- Data-Driven Decision Making:
- The importance of capturing accurate production, labor, and inventory data to drive real-time decisions.
- Developing a “SortRight App” that ties together production, HR accountability, and inventory management.
- HR and Operational Challenges:
- Balancing AI automation with the human element, including addressing HR issues that arise from changes in workflow and accountability.
- The evolution of roles and responsibilities, with a focus on optimizing supervisor and employee performance through clear metrics.
- Implementation and Iteration:
- The iterative process: testing new systems, refining processes, and ensuring continuous improvement in operations.
- Real-life examples of challenges—such as miscommunications on task assignments—and how they are tackled with improved data and oversight.
- Future Outlook:
- Ongoing projects include integrating advanced timesheet management and further automation to drive efficiency.
- Reflections on the potential of digital transformation to protect and grow traditional blue-collar businesses for decades to come.
Guest Socials:
