2 AI Metrics Every SaaS CFO Should Track Today

2 AI Metrics Every SaaS CFO Should Track Today

From SaaS Metrics School by Ben Murray

May 10, 2026 · 4 min

About this episode

Ben Murray discusses two critical AI metrics that SaaS CFOs should track to ensure profitability and efficiency in AI product lines.

If you're shipping AI product lines, are you measuring the two metrics that actually tell you whether your AI is making money — or burning it? In episode #371, Ben Murray covers two AI unit economics metrics every SaaS CFO and founder should be tracking today: the Inference Expense Ratio and the Work-to-Inference Ratio. Traditional SaaS metrics aren't enough anymore — and a year from now, when your board, investors, and potential acquirers start asking for AI margin and efficiency data, the companies that built the chart-of-accounts structure now will have clean answers. Everyone else will be scrambling. The Inference Expense Ratio (AI revenue ÷ inference cost) — and why you can start calculating this from your GL today if your chart of accounts is set up properly The healthy benchmarks: 10:1 for AI-infused products, 5:1 for AI-native, and why 3:1 is the warning zone where inference is silently eating your gross margin Why this metric only works if your chart of accounts cleanly separates AI revenue from non-AI revenue — and the SKU tagging that makes it possible The Work-to-Inference Ratio — how Salesforce's "agentic work units" concept lets you measure whether your AI is…

People in this episode

Host: Ben Murray

Topics covered

  • AI metrics
  • SaaS CFO
  • unit economics
  • inference expense ratio
  • work-to-inference ratio

Keywords

  • AI metrics
  • SaaS
  • CFO
  • inference expense ratio
  • work-to-inference ratio
  • unit economics
  • chart of accounts

Mentioned in this episode

Organizations: Salesforce

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