Is your 2027 software budget ready for the AI spend that's about to blow past every forecast you've built?

In episode #376, Ben Murray covers five takeaways for CFOs from the Pricing I/O AI Pricing Report, produced in partnership with Benchmarkit, which surveyed 296 software buyers in Q1 2026. With budget season around the corner and demand for tokens, agentic AI, and tools like ChatGPT and Claude climbing fast, the gap between what buyers want and where AI pricing is heading has never mattered more. If you own a software budget or sell AI software, these findings reshape how you should think about predictability, governance, and the guardrails buyers are actually asking for.

• Why buyers rank predictable total cost as a top-3 priority, far above low entry price, and why the seat-based pricing obituary may be premature for enterprise deals.
• What the 89% budget-overrun rate really signals: a forecasting problem on the buy side, not vendors changing the rules after signing.
• Why credit and token pricing is the single hardest model to evaluate, and what Salesforce's new agentic work units mean for your bill.
• The surprising finding that IT, not Finance, owns AI cost risk, and why department-level allocation of token spend is the fix.
• Why buyers want soft caps, alerts, and approval steps over hard cutoffs, and where hard caps get genuinely painful in outcome-based pricing.

Tune in to get the buyer-side data shaping AI pricing before you lock in your 2027 budget.

Resources Mentioned

• Pricing I/O AI Pricing Report: https://www.benchmarkit.ai/widget/ai-pricing/cy-26?utm_source=TheSaaSCFO&utm_medium=Podcast&utm_campaign=TheSaaSCFO 
• Ben's blog post: 12 Steps to Creating Your Outcome-Based Pricing: https://www.thesaascfo.com/how-to-build-outcome-based-pricing/