Using AI at Work: AI in the Workplace & Generative AI for Business Leaders 93: Using Generative AI to Develop a Winning Strategy for Business Leaders with Justin Trombold
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Mar 2, 2026 Justin Trombold, president of Antesyn Advisors who helps organizations turn generative AI pilots into measurable change. He discusses why AI is a transformation, not an IT install. Short experiments, clear KPIs, separating enterprise strategy from use-case work, and anticipating shifted bottlenecks are central themes. Cross-functional alignment, incentives, and building organizational readiness round out the conversation.
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Generative AI Requires Organizational Transformation
- Generative AI is a transformation problem, not an IT project, because it changes workflows, incentives, and operating models.
- Justin Trombold warns AI often tweaks a process and shifts bottlenecks elsewhere, so leaders must plan beyond plug-and-play tech.
Centralize Tools But Decentralize Use Cases
- Centralize tool selection and security with IT, but decentralize use-case decisions to business-unit owners who understand problems and incentives.
- Justin recommends IT manage the "sandbox" while business leads decide which workflows to deploy AI in.
Use The LLM You Have And Iterate
- Don't overinvest in picking 'the best' LLM early — pick a viable enterprise-licensed model and iterate; users quickly adapt across models.
- Justin advises using what's available (Gemini, Claude, ChatGPT, Grok) rather than stalling on comparisons.