AI Business Use Cases 4-15-26
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This episode of the Becker Private Equity & Business Podcast explores practical AI business use cases across healthcare, sales, marketing, and advisory services. Host Scott Becker moderates a panel featuring Amanda Werner-Thompson (Madison Advisory AI), Brett Jansen (Brett Jansen AI & Health Tech House), and David Friedman (Panther Capital), who share real-world applications of AI in midsize and large organizations. Key themes include using AI to accelerate research, streamline due diligence, enhance sales prep, and automate board deck creation—while emphasizing that AI’s greatest value lies in augmenting human judgment, not replacing it. The panel stresses starting with specific, high-impact bottlenecks rather than broad, unfocused deployments. They caution against over-reliance on AI for outbound messaging due to spam detection risks and highlight the importance of proprietary data and ethical guardrails. The discussion underscores that AI’s transformative power is most evident in structured, repetitive tasks, while strategic decision-making remains firmly human-driven. Key takeaways include: (1) Use AI to compress knowledge work—especially in research, due diligence, and board materials—freeing up time for strategic thinking; (2) Start with specific, high-impact bottlenecks (e.g., discovery call prep) rather than blanket AI rollouts; (3) Always maintain human oversight, especially in sales and client communication, to avoid spam and preserve authenticity; (4) Prioritize proprietary data and data governance to build a sustainable AI moat; (5) Treat AI as a learning tool—use it to understand AI itself; (6) Avoid copy-pasting AI-generated content directly into email campaigns; (7) Use AI to personalize outreach, but ensure human-in-the-loop review; (8) Focus on ROI-driven use cases with clear metrics, not just tech experimentation.
Use AI to compress knowledge work—especially in research, due diligence, and board materials—freeing up time for strategic thinking.
Start with specific, high-impact bottlenecks (e.g., discovery call prep) rather than blanket AI rollouts.
Always maintain human oversight, especially in sales and client communication, to avoid spam and preserve authenticity.
Prioritize proprietary data and data governance to build a sustainable AI moat.
Treat AI as a learning tool—use it to understand AI itself.
…and 3 more takeaways available in PodZeus
Introduction & Panel Welcome
Host Scott Becker introduces the episode and welcomes the panelists: Amanda Werner-Thompson, Brett Jansen, and David Friedman. The focus is on practical AI business use cases across industries.
Amanda on AI in Healthcare & Advisory Work
“AI is most powerful when paired with seasoned judgment and not substituting for it.”
Brett on AI in Sales & Marketing
“When you get on a call with a prospect, you're almost kind of leading the witness to get them to identify the problem that you solve for.”
David on AI Strategy & Data Governance
“If you're not using proprietary data, you're not creating an AI advantage.”
AI Use Cases in Board Decks & Revenue Cycle
The panel explores how AI can automate board deck creation, reduce time spent on repetitive tasks, and improve revenue cycle management through data synthesis.
“If you're not using proprietary data, you're not creating an AI advantage.”
“You can't put the genie back in the bottle. And, you know, AI is a data first issue.”
“AI is most powerful when paired with seasoned judgment and not substituting for it.”
Host
Guests
David Friedman
person
Amanda Werner-Thompson
person
Brett Jansen
person
Panther Capital
organization
Claude
product
ChatGPT
product
Madison Advisory AI
organization
Brett Jansen AI
organization
Health Tech House
organization
HubSpot
product
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