In Episode 102 of the Digital Velocity Podcast, Erik Martinez and Pat Barry have a candid conversation about one of the most common challenges businesses face with AI today: buying too many tools without a clear strategy. As AI capabilities explode, teams are overwhelmed by choices, and often mistake experimentation for progress.

Pat and Erik dig into why many organizations start with the question, “what tools do we need to buy?” instead of first defining the business problems they’re trying to solve. As Pat explains, “Most clients that come to me start with what tools do we need to buy? My reaction is, let’s see what you already have, because you might be able to accomplish a lot with what you’ve already got.” The discussion reframes AI adoption around workflows, outcomes, and discipline—rather than novelty.

Listeners will learn:
• Why unchecked experimentation often leads to tool sprawl and wasted budget
• How to evaluate AI tools based on real business use cases and ROI
• Why existing platforms like Google Workspace and Microsoft often cover most needs
• How to balance team-level experimentation with organizational governance
• What questions leaders should ask before approving a new AI subscription

Throughout the episode, Erik emphasizes the importance of starting with the workflow, noting, “You’ve got to work on the use case. Which means you also need to understand the workflows, where it’s going to be used.” Together, they explore how most teams can handle the majority of their needs with core LLMs like ChatGPT, Gemini, or Claude—and when specialized tools actually make sense.

For marketers, operators, agency owners, and direct-to-consumer leaders, this episode offers a grounded framework for navigating the AI tool explosion without losing focus. The takeaway is clear: AI should make work more efficient and strategic—not more chaotic. Before buying the next shiny tool, make sure it ladders up to a real business goal.