This week, Frank talks with AI intelligence architect and author Carl Peterlin about practical AI in business, emphasizing that AI depends on structured, governed knowledge rather than simply buying chatbot licenses. They discuss risks of exposing proprietary data in public LLMs, how bad processes become "crappy at the speed of AI," and how AI can humanize work by removing machine-like tasks while preserving institutional knowledge before employees retire. Carl outlines "full sale" RevOps concepts and the post-close communication gap, using Domino’s-style status updates as an example, and shares a car-detailing workflow that drives responsive service and upsells. He unveils a "First Region Mandate" idea to help Northeastern Pennsylvania manufacturing leverage underused federal/SBA AI-related funding (up to $200M) to transform the region’s manufacturing economy.
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