What If It Did Work?

Harnessing AI: From Business Revolution to Everyday Tool


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Remember when we used punch cards, microfiche, and spent months developing business plans? That world is gone. Today's business landscape demands speed and innovation—and AI is the game-changer making it possible.

John Munsell, CEO of Bazooka and LSU's go-to AI instructor, unpacks how businesses can implement artificial intelligence without creating organizational chaos. Unlike consultants who merely explain why AI matters, John focuses on practical execution that delivers measurable results—helping companies generate $15 million in revenue over just two years through strategic AI adoption.

The conversation demolishes common AI misconceptions, revealing that everyday tools costing just $20 monthly can transform business operations. John walks through real examples: generating comprehensive business plans in hours instead of months, creating custom legal documents without expensive attorney fees, deploying AI note-takers that allow for fully present conversations, and building specialized GPTs that become invaluable knowledge repositories for your organization. One student slashed patent costs from $3,500 to just $300 per filing—demonstrating the immediate ROI that intelligent implementation delivers.

Perhaps most compelling is John's approach to workforce transformation. Rather than replacing employees, he advocates training existing team members who already understand your culture and processes. "It costs seven times more to replace an employee than to train them," he explains, outlining how his 2-6 week training programs help companies retain talent while dramatically increasing productivity.

Don't be the last business to adopt this technology. As John warns, "The company that learns to get everybody thinking AI-first, the fastest, is the one that wins." Visit Bazooka.com to discover training options through LSU Continuing Education or explore John's book "In-Grain AI" about creating an AI-first culture in your organization.

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What If It Did Work?By Omar Medrano

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