We’ve been hearing for years about new AI features coming to Workday – but we’re just now starting to understand how these capabilities will be packaged, measured, and paid for.
With the introduction of AI Agents, Workday is starting to shift from the traditional “buy a SKU, get unlimited use” model. With the new Agentic AI tools, usage is tied to the work those agents perform.
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Flex Credits: A New Consumption Mindset
To track this, Workday is introducing Flex Credits, a new consumption-style model designed to accommodate overall usage of these new AI agents. Rather than purchasing access to a specific feature, customers consume credits based on how the platform is used.
One key benefit: customers can access to new AI capabilities the moment they’re released without the need for additional procurement cycles.
To help customers get started, Workday is providing complimentary annual credits based on organization size. This is intended to support initial exploration and common use cases, such as the Self-Service Agent.
Additional flex credits can be purchased as customers’ needs evolve with the AI agents, AI features, and future platform capabilities.
TRADITIONAL MODEL
Per-Seat Licensing
Pay for Access: (X Users) x ($Y/user/year). Usage doesn’t matter – the meter runs whether you use it or not.
AGENTIC MODEL
Consumption-Based
Pay for Outcomes: AI agents do work, each task costs credits. You’re buying labor, not licenses.
How to Enable Flex Credits for Existing Customers
Beginning in Q1 2026, existing Workday customers can add the Flex Credit & Platform Entitlement Policy to their agreement.
To get started, customers must sign the updated UMSA and Flex Credit agreements. Once completed, customers will receive complimentary Flex Credits and immediate access to begin exploring eligible features in your test environments.
How Flex Credits Are Used
Flex Credits are consumed when Workday AI Agents (or other metered actions) are used. These rates apply only to usage exceeding your baseline allotment.
Agentic Interactions
Fluctuates based on action
Select API Requests
60 credits / 10,000 calls
Integration Events
25 credits / 100 events
Document Storage
120 credits / GB / year
Note: The good news is that credits are only consumed in your Production tenant. Meaning that teams can test and experiment with AI tools in their Sandbox (or other non-production) tenants.
Universal Rate Card
While costs can vary depending on the action, those rates are clearly defined for customers upfront. There will be no guesswork once you’re live.
To note, Workday has not yet released a public rate card for Flex Credit cost.
Understanding the Agentic AI Usage Spectrum
Credit costs range significantly – from 1 to 750 per action. In general:
- High-frequency, low-complexity actions = lower cost
- Low-frequency, high-complexity actions = higher cost
1-10 Credits per action
Everyday AI Actions
Self-service Q&A, business process optimization, payroll data monitoring, time management, and custom agent workflows. These are the actions your employees and managers will trigger most often.
10-60 Credits per action
Analytical Actions
Payroll compliance analysis, planning data exploration, frontline shift management, audit sample requests, and revenue contract creation. These involve more complex processing and analysis.
60-750 Credits per action
Complex AI Operations
Talent rediscovery across candidate pools, contract negotiation / redlining, and internal talent matching. These are resource-heavy operations analyzing large datasets or generating complex outputs
How Usage is Tracked
As usage scales, visibility becomes critical. Workday provides tools to help teams track consumption, monitor trends, and stay ahead of potential overages.
Platform Consumption Console (PCC):
- Tracks credit usage by agent and platform component
- Shows available balance and rate‑card history
- Provides alerts as usage approaches consumption thresholds
- Supports role‑based access and permissions
Sample In-Tenant UI
What’s Not Changing
While Flex Credits introduce a new way to consume platform capabilities, several things remain the same:
- Embedded, non-agentic AI features continue to be included at no additional cost
- Existing Workday subscriptions and FSE models remain unchanged
- Customers retain free mechanisms to export their data, as required by law
Key Benefits of Flex Credits
Since Flex Credits are applied across a wide number of AI Agents, companies have flexibility in how they are able to research, test, and adopt to these new capabilities.
Faster access to innovation
Unlock new AI-powered capabilities as soon as they’re released without additional contracting cycles
Pay for value, not just features
Credits tie cost directly to usage and outcomes rather than upfront purchases
Flexibility as business needs evolve
Use credits across eligible agents and services as needs evolve
Transparent budgeting and governance
The Platform Consumption Console (PCC) provides real-time visibility into credit usage
Have questions?
We’re here to help.
What We’re Still Watching
There is concern that Flex Credits shift financial risk from Workday to the buyer. As Flex Credits begin to roll out, here is what we’re keeping our eyes on.
Usage Visibility and Burn Rate
- Because Flex Credits are consumption-based, usage can scale quickly — especially early on.
- Without clear visibility and regular monitoring, it may be difficult to forecast usage patterns or adjust spend in real time.
Credit Planning and Utilization
Flex Credits introduce a new planning dynamic.
- Over-purchasing can lead to unused credits
- Under-purchasing may limit access to capabilities later in the year
Finding the right balance will likely require iteration as usage patterns become clearer.
Governance Across Teams
AI adoption doesn’t happen in a single department. Without clear ownership and guardrails, multiple teams may begin using agents independently — making it harder to track usage, manage budgets, and align priorities.
The Emerging “FinOps for AI” Model
This shift introduces a new operational layer: managing AI consumption as an ongoing discipline.
Many organizations are still developing their approach to:
- Budgeting for usage-based AI
- Allocating credits across teams
- Measuring value relative to spend
Early industry perspectives suggest that, without governance, organizations could see meaningful increases in total cost of ownership.
