The research also showed that agents are acting across multiple cloud domains which, the company said, “underscores the practical necessity of a headless architecture. By decoupling the agent’s logic from traditional front-end user interfaces, agents can process tasks, execute actions, and trigger workflows anywhere.”

Within the company, Salesforce itself has seen explosive growth in AI agent use, said Joe Inzerillo, president of enterprise & AI technology at Salesforce, with a threefold increase in sessions between February 2025 and April 2026. He said that the AI agent in Slack, Slackbot, saves the average employee five hours per week, with 83% of the company having adopted it.

But Schwartz pointed out that different industries are approaching agentic AI in different ways, some more sophisticated than others. To measure that, Salesforce developed a Sophistication Index, a five-point scale scoring the cognitive complexity of an agent’s actions. Levels 1- 3  are assigned to tasks such as record lookups, drafting emails, or summarizing documents, while levels 4 and 5 include more complex functions such as updating database fields.