About this episode
Ben Murray discusses the pitfalls of finance teams implementing AI without proper data infrastructure.
Are finance teams implementing AI the wrong way? In episode #359, Ben Murray argues that many CFOs and finance leaders are approaching AI backward—focusing too much on prompts and quick wins rather than building the foundational data infrastructure required for meaningful, repeatable insights. Drawing from recent AI webinars and his experience building softwaremetrics.ai, Ben explains why SaaS metrics, retention, and cohort analysis should not rely on AI. Instead, these should be computed through structured, deterministic systems first—then enhanced with AI for deeper analysis and pattern recognition. Resources Mentioned My new metrics engine: https://softwaremetrics.ai/ My SaaSpocalypse post: https://www.thesaascfo.com/the-saaspocalypse-ai-agents-vibe-coding-and-the-changing-economics-of-saas/ What You’ll Learn Why prompt-driven AI workflows are not scalable in finance The difference between deterministic systems and AI-driven analysis Why you don’t need AI to calculate core SaaS metrics like retention or CAC payback The importance of structured data and clean data pipelines How AI should be layered on top of computed financial data—not raw inputs Why context windows…
People in this episode
Host: Ben Murray
Topics covered
- AI implementation
- finance teams
- SaaS metrics
- data infrastructure
- deterministic systems
- pattern recognition
Keywords
- AI workflows
- SaaS metrics
- retention
- data pipelines
- deterministic systems
- financial data
- insights
Mentioned in this episode
Organizations: softwaremetrics.ai, SaaSpocalypse, FP&A
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