AI pricing is breaking all the old rules.
We used to buy software with clean seat counts, predictable budgets, and stable renewal math. Now, every interaction burns compute, usage spikes cause cost shocks, and it can be tough to tie AI back to a clean business case.
In our upcoming session, Jacquelyn Kenny, Director of Product Marketing and Sneha Iyer, Business Value Lead, are sitting down with Peter Giordano, CMO-in-Residence at Scale Venture Partners, who’s been in the trenches helping companies figure out how to price and buy AI without blowing up their margin model.
We’ll get into:
- What AI really costs and what you should (and shouldn’t) be paying for
- Red flags and green lights in modern pricing models
- Budgeting and forecasting AI spend when predictability is still elusive
- How to build internal alignment and stakeholder buy-in across product, procurement, and finance
If you’re evaluating AI, building a pricing strategy, or simply tired of vague vendor decks this session is your crash course in getting it right.
