Predictability Built In, Not Bolted On
Institutional finance leaders do not want surprises, and Flex Credits are engineered to prevent them.
Our model starts with complimentary credits to explore Sana and AI agents in production, plus free testing in non-production environments. That means teams can gather real usage data, model demand, and build a defensible budget before scaling.
Next, institutions need to understand and manage their agent usage and credit balance. In Workday, our Platform Consumption Console dashboards provide total visibility into your credit balance and usage, with proactive alerts as customers approach high usage thresholds. Plus, the Agent System of Record shows how many people in your institution are using agents, which agents and skills they use, and how often agents provide valuable insights or support. With this data and visibility, Finance and IT leaders can see consumption patterns and can use the same operational discipline they already apply to cloud spend to AI.
Workday Flex Credits are fungible, so you never need to manage different types of credits for different technologies. As your AI strategy evolves — you introduce a new agent for transcript processing, expanded academic requirements management, or a different mix next semester — credits flex too, instead of stranding investment in capability organizations no longer need.
And adopting agents is elective. Each institution decides which agents to deploy, who can access them, and when to turn them off if value is not landing. There is no auto-enrollment, no forced adoption, no penalty for going at your own pace. Customers are in control.
Governance Is the Quiet Differentiator
Budget predictability is only half of the trust equation. The other half is governance — and this is where the architecture underneath matters as much as the commercial model on top.
Workday AI executes inside the same platform that holds the chart of accounts, the student record, the security model, and the approval chains. Agents do not infer their own path through data; they operate within the configured business logic, permissions, and audit trails each institution already maintains.