Being an AI-forward Product Leader isn’t about running pilots.
It’s about tying the AI Product Strategy directly to P&L Management. If you can’t monetize AI, you’re just paying for compute.
AI Product Strategy: The framework dictates operationalizing AI across core business functions (Programs, Marketing, Finance/Operations) to automate tasks and drive efficiency. For example:
Leveraging AI to mine customer support data for actionable insights helped clients identify $5M in new revenue opportunities.
Your job is to perform build-vs-buy analyses and secure stakeholder alignment for complex capabilities that deliver financial results.
What is the single biggest non-customer-facing task AI could automate inside your organization to drive efficiency?
Richard Ewing is a Product Executive and the creator of The Product Economist framework. He serves as a Strategic Advisor to B2B SaaS organizations, helping leaders audit their roadmaps for capital efficiency and prevent “model collapse” in their business models.
Stop guessing. Start auditing.
Connect on LinkedIn: Richard Ewing (MBA)
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