How should leaders start using AI without overwhelming teams or chasing tools that never deliver real value?

In this bonus episode of the Leadership in Manufacturing Podcast, host Sannah Vinding is joined again by Ellen Albright, Marketing and Communications Director at E-T-A Engineering Technology, for a focused conversation on starting AI adoption the right way.

This short episode centers on one critical leadership principle. AI only creates value when it is aligned with real business objectives. Sannah and Ellen discuss why leaders should start small, avoid tool overload, and treat AI as a support system for daily work rather than a shortcut or trend to chase.

Building on the full conversation in Episode 133, this bonus episode highlights practical guidance around refining prompts, setting guardrails, and introducing AI in ways that build trust instead of resistance. The discussion reinforces that AI adoption is a leadership and change management challenge, not just a technology decision.

This episode is for leaders in electronics, manufacturing, and supply chain who want to move from experimentation to intentional, people-first AI adoption.

In this episode, you will learn:

• Why AI must align with real business goals to deliver value
• How starting small helps teams avoid AI overwhelm
• Why refining prompts over time leads to better outcomes
• How AI can support daily work without creating noise
• Why leadership clarity matters more than tools in AI adoption

About the guest:

Ellen Albright is the Marketing and Communications Director at E-T-A Engineering Technology, where she leads multi-channel marketing, sales enablement, and people-first AI initiatives that support efficiency while protecting engineering expertise and customer trust.

Hosted by:

Sannah Vinding is an engineer, B2B marketing strategist, leadership educator, and host of the Leadership in Manufacturing Podcast. She helps leaders across electronics, manufacturing, and supply chain lead technical teams with clarity, trust, and confidence as complexity and AI reshape how work gets done.

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