Salesforce Reprices AI Tokens to Reflect Real Value

Salesforce is re-examining its tokenomics and pricing strategy for AI products to avoid the 'tokenmaxxing' issue, where customers overspend on tokens but see little value. The company's Chief Consumption Officer, Connor Marsden, admitted that there are concerns over the cost of AI.

The firm has seen 10,000-plus customers using its AI products, with significant momentum as more people add multiple solutions from Salesforce. Particular value is being seen in out-of-the-box agents like Casey and Hunter, which can drive fast time to value and get agents up and running in 30 to 45 days.

Salesforce is working on a new pricing structure that aligns with the benefits of technology. The firm has introduced outcome-based pricing for its help agents, where they are priced by the resolutions they drive for customers. If an issue isn't resolved, customers don't pay for the offering.