Workday have announced that Workday Data Cloud will integrate with Amazon Web Services (AWS). The integration gives developers bi-directional, zero-copy access to Workday’s governed HR and finance data through the AWS tools and AI services they already use, eliminating the need for custom pipelines, duplicated data, or rebuilt business logic. It also brings Workday Data Lake, Workday Data Connect, and Workday Live Data Query to AWS customers through an upcoming early access programme.
According to Gabe Monroy, Chief Technology Officer at Workday, “When developers build systems that touch people and money. They are wiring AI into high-stakes decisions where there’s no room for error.
“By integrating Workday Data Cloud with AWS, customers get faster, safer AI built on data they already trust. Developers get to spend their time shipping products instead of on plumbing and permission rewrites.”
Workday data cloud for AWS customers
Through the new integration, Workday data will be available alongside the rest of an organisation’s data on AWS. Governed, enriched with business context, and ready for AI workloads.
Developers can connect AWS data and AI services, such as Amazon Bedrock, directly to Workday’s data layer. This includes the business definitions, metric logic, and security context needed to deliver accurate, auditable results. Meanwhile, developers building agents in Workday can access AWS data seamlessly, improving decisions and outcomes across HR and finance.
Through Workday’s Agent Gateway, AI agents built on AWS can securely access Workday payroll, benefits, and financial data. This can be achieved with the same governance, permissions, and audit controls already in place for Workday-native agents. Developers can bring agents into production faster without having to rebuild the business logic that Workday already maintains.
“The most impactful AI is built on data that already carries the context of how a business works,” said Scott Liska, Vice President, Strategic Accounts at AWS. “This integration with Workday Data Cloud means customers can put their HR and finance data to work across their AI applications on AWS without compromising on governance or speed to production.”
The Workday Data Cloud integration with AWS joins existing integrations with Databricks, Google Cloud, Salesforce, and Snowflake. This gives customers even more ways to securely combine Workday’s data with the tools they already use.
Workday Data Cloud capabilities now in early access
Workday Data Cloud is open to early adopter customers and will be available for AWS customers in early access soon. Developers can now securely connect and analyse HR and finance data in context with customer, market, and operational data. Three capabilities available in early access, each addressing a different point in how developers work with HR.
Workday Data Lake offers a unified, curated view of Workday HR and finance data. The solution is combined with third-party sources and enriched with semantic definitions that reflect how the organisation operates. This gives developers a reliable data foundation without the need to interpret raw tables manually.
Workday Data Connect makes that governed data available in the systems where developers already build. Using Apache Iceberg and a growing library of pre-built connectors, including the new AWS integration, gives developers bi-directional, zero-copy access to Workday data from their preferred cloud and analytics tools, without shadow databases or brittle pipelines.
Workday Live Data Query delivers instant data access for applications and agents that require immediate insights. Developers query Workday directly through SQL via JDBC and Python, getting near real-time access to workforce and financial data. This allows systems to act instantly on what is happening across the business at this moment.
Workday’s permissions, business logic, and audit controls remain attached to the data across all three capabilities. This means agents do not need to guess what a metric means or determine access rights on their own. This is because that context is built in. For AI making HR and finance decisions, that built-in context is what makes the agent trustworthy rather than something that must be closely monitored.
Enterprise Times: What this means for businesses
For businesses, the main benefit is faster and safer use of AI across HR and finance. By linking Workday Data Cloud with AWS, organisations can use governed employee and financial data in the AI and analytics tools they already rely on. Workday says this can be managed without building complex data pipelines or duplicating sensitive information.
That should reduce integration costs, shorten development time, and help teams bring AI applications into production more quickly. At the same time, keeping the business rules, permissions, and audit controls already defined in Workday.
It also means businesses can make better use of their data in context. Instead of treating HR and finance information as isolated records, the integration allows it to be combined with operational, customer, and market data on AWS. This makes insights more useful and decisions more reliable.
For companies exploring AI agents or advanced analytics, the real value is not just access to more data. It is access to trusted data with the meaning, governance, and security already attached. This lowers the risk in high-stakes areas such as payroll, benefits, workforce planning, and financial management.
