Despite massive investment in AI, many organizations are struggling to generate meaningful business impact. Why? According to Paul Shirer, most companies are treating AI as a tooling problem when it's really a workflow and adoption problem.
In this episode, hosts Michael Hartmann sit down with Paul, Founder & CEO of Infinite Ideas AI and Director of AI & GTM Technology at Bridge Partners. Together, they discussed where AI adoption goes wrong, how leaders should think about workflow design and decision-making, and what it actually takes to move beyond experimentation toward measurable value.
In this episode:
Why AI is a workflow and adoption problem, not a tooling problem
What's really causing the high failure rate of AI initiatives
How to tell useful AI adoption apart from "agent sprawl"
Why Paul moved away from end-to-end automated workflows, and what changed his mind
What a connected workspace looks like in practice
Balancing flexibility and governance when every team wants a custom solution
Why the data layer matters even more in an AI-driven environment
Whether you're being asked to justify AI investments or trying to turn experimentation into real results, this is a practical conversation for operators closing the gap between AI hype and AI impact.
Learn more about MarketingOps and The MO Pros community at MarketingOps.com.
If you enjoyed this episode, do subscribe, leave a review, and share it with someone in the ops community who would find it valuable.
Podden och tillhörande omslagsbild på den här sidan tillhör
MarketingOps.com. Innehållet i podden är skapat av MarketingOps.com och inte av,
eller tillsammans med, Poddtoppen.
