Table of Contents
- From Individual Productivity to Organisational Performance
- Why Workday Is Taking a Different Approach
- Sana: A New Interface for Work
- AI Agents Enter the Organisation
- Managing a Workforce That Includes AI
- Connecting Data Across the Enterprise
- A Shift Toward Value-Based Consumption
- What This Means for Businesses
This article is a summary of Superintelligence for Work webinar, where Workday shared its latest vision for AI across HR and Finance.
The session offered a clear perspective on how AI is being embedded into enterprise systems, and what that means for how organisations will operate going forward.
From Individual Productivity to Organisational Performance
AI is already improving how individuals work. Tasks are faster, processes are smoother, and access to information is easier.
The real challenge sits at the organisational level.
Many companies are still structured around a pre-AI way of working. Roles, KPIs, and operating models often remain unchanged, even after AI is introduced. As a result, productivity gains stay at the individual level instead of translating into business outcomes.
To unlock value, organisations need to:
- Redesign roles and responsibilities
- Adjust operating models
- Align performance metrics with AI-supported work
- Prepare employees for new types of tasks
AI introduces a shift in how work gets done, and organisations need to evolve with it.
Why Workday Is Taking a Different Approach
Workday’s AI strategy is grounded in something most standalone AI tools don’t have: business context.
AI models on their own are powerful, but they don’t understand:
- How a company is structured
- How decisions are made
- What rules and compliance frameworks exist
Workday brings AI into an environment where all of this context already exists.
By combining:
- Advanced AI models
- Business processes
- Security and governance layers
Workday enables AI that can operate in a way that is both intelligent and aligned with real business constraints.
Sana: A New Interface for Work
Workday introduced Sana as its unified AI layer.
Sana is designed to become the main interface employees use to interact with their work environment.
Through Sana, users can:
- Trigger actions across systems
- Generate insights and reports
- Automate workflows
- Interact with tools like Slack, Teams, or email
The goal is to simplify the experience. Instead of navigating multiple systems, employees interact with a single layer that connects everything.
AI Agents Enter the Organisation
One of the most important shifts presented in the webinar is the introduction of AI agents as part of the workforce.
These agents are designed to support specific functions such as:
- Recruitment and talent acquisition
- Payroll and finance operations
- HR processes
- Legal and contract analysis
Workday is already proposing a model where these agents are part of the organisational structure itself.
They are more than just tools running in the background. They are:
- Assigned roles
- Given permissions
- Linked to business processes
- Measured on performance
In practical terms, this means organisations can start to include AI agents in their organigram, alongside human employees, each with clearly defined responsibilities.
Here’s everything you need to know about leading the workforce in the age of AI.
This represents a fundamental shift in how teams are built and managed.
Managing a Workforce That Includes AI
To support this evolution, Workday is extending its platform to manage both human and digital workers.
With the Agent System of Record, organisations can:
- Onboard agents similarly to employees
- Control access and governance
- Track activity and performance
- Measure impact and ROI
This creates visibility and structure around AI adoption, allowing companies to scale its use with confidence.
Connecting Data Across the Enterprise
AI depends on access to the right data.
Workday is addressing this through its Data Cloud, enabling organisations to:
- Access data from multiple systems without duplication
- Reduce integration complexity
- Maintain a single, consistent source of truth
This is supported by integrations with platforms such as Databricks, Snowflake, Salesforce, and Google Cloud.
Data is a powerful tool for shaping opinions and driving decisions. In this blog, we understand common challenges and the role of data in developing strategies and driving processes: Why Data-Driven Decisions Fail? (And How Workday Can Help You Get Them Right)
A Shift Toward Value-Based Consumption
Workday is also evolving how AI is purchased through a model called Flex Credits.
This approach allows organisations to:
- Pay based on actual usage
- Test capabilities before scaling
- Align costs with outcomes
It creates a more flexible way to adopt AI, while encouraging organisations to focus on measurable impact.
What This Means for Businesses
The direction is clear. Work is being redefined at a global level. Organisations are moving toward models where:
- Humans and AI collaborate daily
- Tasks are distributed differently
- Value is created through orchestration, not just execution
Workday’s vision accelerates this shift by embedding AI directly into the core of business operations and by introducing the concept of AI agents as part of the workforce.
The pace of change is increasing. Companies that begin adapting now will be better positioned to redesign their operating models, upskill their teams, and integrate AI in a structured way.
Organisations that delay risk falling behind as competitors move faster in adopting new ways of working.
This is not a distant transformation. It is already taking shape, and the decisions made today will define how organisations operate in the years ahead.
With Workday, organisations can start bringing AI agents into their day-to-day operations by assigning them roles, setting permissions, and tracking how they perform so AI becomes part of how work actually gets done, not just something running in the background.
If you’re curious what this looks like in practice:
Register for our Pay Transparency to see Agentic AI in Action!
We’ll walk through how to bring audit-ready compensation data into a single planning model using Agentic AI, in a way that’s practical and easy to apply.
