A 20-year veteran retires, and suddenly the “way we do it” disappears with them. That is the reality across manufacturing, maintenance, and field service right now, and it shows up everywhere: longer onboarding, inconsistent work, safety gaps, and teams stuck relearning the same fixes under pressure.
We talk with Siva Kumar Lakshmanan (Siva), CEO of DeepHow, about a practical way to capture tribal knowledge before it walks out the door. We dig into how generative AI and large language models can transform real shop floor work, including video of experienced technicians, into training that new hires can actually use. Along the way, we get specific about adoption, because the hardest part is rarely the software. It is change management, trust, and proving value in a way that makes sense to skilled workers who would rather be on their feet than at a desk.
You will also hear a clear framework for when to move fast on AI and when to wait, how to run pilots that give the technology a fair shot, and how to use KPI scorecards to make fact-based decisions without burning out the team. We close with a candid conversation about job-loss fear, why business-case transparency matters, and how to position AI as a tool for safety, standardization, and faster time-to-competency in supply chain operations.
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What is the one process in your operation you would capture first?
