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Workday and the Rise of Agentic Human Resources

This article explores Workday's bold push into agentic AI for HR and finance. It examines how automation is changing workplace skills, the company's open platform strategy, and how it stacks up against rivals in the enterprise HR software market.

Intelligence Desk6 min read

AI Snapshot

The TL;DR: what matters, fast.

Workday uses agentic AI to automate HR and financial tasks, such as payroll and contract drafting, aiming to enhance efficiency.

HR leaders should prioritize emotional intelligence and human connection as AI handles repetitive processes, rather than letting skills atrophy.

Workday advocates an open AI platform that amplifies talent, improves decision-making, strengthens compliance, boosts productivity, and delivers ROI.

Who should pay attention: HR leaders | Finance professionals | AI developers

What changes next: Workday’s approach will undoubtedly influence future HR technology trends.

Why Workday believes agentic AI is the next evolution of HR and financials, and what that means for skills, strategy and the future of work.

Workday is embedding agentic AI across HR and finance, moving from support tools to autonomous workflows. Executives argue AI must amplify human talent rather than erode skills, with emotional and critical thinking capabilities becoming more valuable. The HR software market is shifting towards platform ecosystems, where openness and integration may matter more than legacy ERP dominance.

A new chapter in human (agentic) resources

AI helps humans — that, at least, is the mantra repeated by advocates across the spectrum of predictive, generative and now agentic AI. As the hype surrounding large language models begins to settle into more practical use cases, one company has placed itself firmly at the centre of the debate: Workday.

Known for its focus on people-driven disciplines such as HR and finance, the firm has spent the last year developing agentic AI services capable of executing tasks once managed by accountants and HR managers. From payroll calculations to drafting employment contracts, the company is steadily embedding machine agents into the everyday rhythm of work. You can learn more about how these systems function in our article about AI Agents and Jobs.

But this raises the fundamental question: how much automation is too much? Will AI sharpen our talents, or quietly dull them?

Are we outsourcing our skills?

Speaking at a recent forum provocatively titled “Is AI quietly killing our skills?”, Workday’s chief learning officer Chris Ernst and McKinsey’s Heather Stefanski both acknowledged the uncomfortable truth: technology has always replaced certain human capabilities. Mental arithmetic gave way to calculators. Maps yielded to GPS. What next for HR?

Stefanski noted her firm is actively teaching people how to teach and learn again, rather than assuming learning is static. Ernst added that HR leaders should prioritise emotional intelligence and human connection as automation spreads, because those are the skills that will remain resilient. This aligns with a broader conversation about What Every Worker Needs to Answer: What Is Your Non-Machine Premium?.

This strikes at the heart of Workday’s approach: to automate repetitive processes, while doubling down on the human qualities that cannot be coded.

How agentic is HR becoming?

Workday’s head of agentic AI, Jerry Ting — who joined following the acquisition of contract intelligence start-up Evisort — explained how AI agents are now capable of handling tasks such as:

Delivering performance reviews,Executing financial close processes,Conducting profitability analyses,Drafting contracts for contingent workers,Running payroll workflows

It is a far cry from early HR chatbots. These are not simply assistants; they are systems of execution, managing work end-to-end. For a deeper dive into the technical aspects of agentic AI, consider exploring research from organizations like the Association for Computing Machinery (ACM).

As Workday co-founder Aneel Bhusri put it:

“I honestly believe AI is under-hyped today. Last year people thought AI would solve everything. Today, people know what it can and cannot do; and we’re on the path to enlightenment.”

“I honestly believe AI is under-hyped today. Last year people thought AI would solve everything. Today, people know what it can and cannot do; and we’re on the path to enlightenment.”

A manifesto for AI in the enterprise

Workday has begun to frame its AI principles as a kind of manifesto: every product must amplify talent, improve decision-making, strengthen compliance, boost productivity and deliver ROI.

The company insists its strength lies in openness. Gerrit Kazmaier, president of product and technology, argued that closed systems and fragmented “point solutions” create governance nightmares. Instead, he says Workday is committed to an open platform where partners and customers can integrate freely, enabling a new flavour of ERP that is workflow-driven and deeply context-aware. This approach is also key to understanding the concept of Reinventing ERP with Event-Driven Agentic AI.

Coming from SAP, Kazmaier is no stranger to enterprise software empires. But his rhetoric suggests Workday wants to leapfrog its rivals by presenting itself not just as an HR application vendor, but as an AI-enabled platform company.

How far will Workday stretch?

CEO Carl Eschenbach makes no secret of the ambition. In his words:

“We’ve gone from being an applications company delivering HCM and financials, to being one of the few companies that can truly claim we are both an application and a platform company.”

“We’ve gone from being an applications company delivering HCM and financials, to being one of the few companies that can truly claim we are both an application and a platform company.”

Eschenbach stopped short of promising a pivot into full-scale ERP, CRM or field services. But he hinted that Workday’s open platform strategy allows it to consolidate adjacent services and absorb third-party innovations without needing to build everything itself.

The move positions Workday in a different league from the traditional HR software players — one where the platform matters more than the product.

A crowded HR battlefield

Of course, Workday is far from alone. SAP’s SuccessFactors, Oracle Fusion Cloud HCM, Dayforce, UKG, ADP, Paycom, and BambooHR all compete aggressively in this space, each with their own differentiators.

SAP SuccessFactors leans on ERP integration.,Oracle capitalises on its database and multi-cloud infrastructure.,Dayforce champions payroll and benefits integration.,BambooHR zeroes in on SMEs with lighter HRIS offerings.

Analyst firm Gartner also lists Asian providers such as Darwinbox, Yonyou and Cegrid among notable challengers. The competitive field is diverse, with some vendors seeking breadth, others depth, and a few aiming for sectoral specialisation.

Tiffani Bova of The Futurum Group observes that Workday’s marketplace strategy increasingly goes beyond HR functions, integrating analytics, healthcare and financial services to bolster its ecosystem position. This contrasts sharply with rivals who remain anchored to ERP or database strengths.

Beyond digital HR

The next battleground is not simply payroll accuracy or contract automation. Buyers are asking deeper questions:

How globalised are payroll and compliance capabilities?,How configurable and low-code is the system?,How secure and scalable is the cloud architecture?,And of course, what is the price of managing all this at scale?

The answer may lie in how much administration burden each platform can shoulder on behalf of clients. The winner will not just provide software, but an intelligent backbone that frees humans to do what they do best.

As Workday frames it, this is not about replacing HR, but evolving it into human (agentic) resources; where machines handle the repetitive load, and humans take the higher ground of judgment, creativity and empathy. For more on this, read our article on AI with Empathy for Humans.

If Workday is right, the HR function may soon become the testing ground for a new corporate relationship between humans and agents. But does agentic AI truly free us to focus on higher-value work — or will we lose touch with the very skills that make us human?

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