Leadership Briefing: Lessons Learned from a Successful AI Project – Part TWO with Tim Walter

Leadership Briefing: Lessons Learned from a Successful AI Project – Part TWO with Tim Walter
Making AI Work Through Change Management, Human Learning, and Imperfect Data

Guest: Tim Walter, CIO & VP, Edward Don & Company
Host: Alex Jarett, Founder, Technology Executives Club® Part Two:

Be sure to listen to Part One here:https://www.technologyexecutivesclub.com/podcasts/technology-executives-club/episodes/2149166910


Making AI Work Through Change Management, Human Learning, and Imperfect Data

In this Leadership Briefing – Part Two of Tim Walter’s AI case study – Tim shifts from the technical implementation to what truly determined success: change management, reinforcement learning from human interaction, and realistic expectations around data quality.

Following the business case outlined in Part One, Tim explains how his team addressed the emotional and operational challenges of AI adoption. Rather than positioning AI as replacement technology, Edward Don framed it as an enablement tool, shifting employees away from repetitive tasks and toward higher-value validation and customer engagement.

Tim discusses how the system launched at 86% accuracy, requiring human oversight and judgment. He explains why reinforcement learning from human feedback became central to improving accuracy over time, and how tribal knowledge that once lived in spreadsheets and individuals’ heads is now being shared systematically across the organization.

He also addresses a common misconception: AI projects do not require perfect data to begin.

Instead of delaying implementation for large-scale data cleanup, Edward Don built an adaptive system designed to learn, improve, and evolve with every interaction. This conversation provides practical guidance for Technology Leaders navigating AI adoption inside real organizations with real constraints.

Topics Covered:
* Why change management determines AI adoption success Reframing AI as enablement rather than replacement
* Reinforcement learning from human feedback Extracting and sharing tribal knowledge
* Why data does not need to be perfect to start Continuous improvement versus one-time implementation

This Leadership Briefing was hosted by Alex Jarett, Founder of Technology Executives Club®, the GTM Thought Leadership platform™ for Tech Business Leaders & Technology Leaders

Visit www.technologyexecutivesclub.com to watch Part One and Part Two of Tim Walter’s full AI case study.