From Search and Retrieve to Solve My Problem with Len Ward

AI is changing how people search for information, evaluate options, and make buying decisions. But what happens when customers stop searching for information themselves and start asking AI to solve the problem for them?

In this episode of Ops Cast, Michael Hartmann is joined by Len Ward, Managing Partner and Head of AI at Commexis, to discuss the shift from a traditional “search and retrieve” model to a “solve my problem” model and what it could mean for Marketing Operations.

Drawing on more than two decades of experience across traditional marketing, digital, analytics, and AI, Len explains why the rise of LLMs could challenge long-standing assumptions about websites, SEO, content, lead generation, and the customer journey.

In this episode, we discuss:

• How Commexis evolved from traditional and digital marketing into analytics and AI
• What the shift from “search and retrieve” to “solve my problem” means for marketers
• How LLMs could change the role of websites, content, SEO, and owned channels
• Why traditional search and lead-generation models may come under increasing pressure
• Len’s prediction about Google and what declining search dependence could mean for marketers
• What organizations should consider building as traditional acquisition models change
• How agent-to-agent marketing could reshape the way buyers and companies interact
• What Marketing Ops leaders should prioritize over the next 12 to 18 months

The conversation also explores a much bigger question for Marketing Operations. If AI increasingly handles research, comparison, and decision support for customers, how should companies rethink the systems and processes they have spent years building around the traditional buyer journey?

For Marketing Ops and RevOps leaders trying to prepare for what comes next without chasing every new AI development, this episode offers a thought-provoking look at where AI may have its biggest impact and why the goal should be solving customer problems better, not simply doing existing work faster.