Workday AI agents now power a quarter of new enterprise contract value

Workday's fiscal second-quarter report puts a hard number on the enterprise AI story: Workday AI agents delivered more than 25% of the new annual contract value the company booked in the period, and more than 5,500 customers now run at least one of its agents, a jump of over 35% from the prior quarter. CEO Aneel Bhusri described the quarter as strong on the earnings call, saying AI products were responsible for more than a quarter of new ACV. Released late last month, the results are the clearest evidence yet that the company's AI line is generating real revenue rather than living on a roadmap.

The AI figures arrived alongside a solid set of financials for fiscal Q2 2027. Revenue rose 12.8% year over year to $2.65 billion, ahead of the consensus estimate. Adjusted earnings per share came in at $2.75 against the consensus estimate of $2.61, a beat of roughly 5%. Adjusted operating income reached $824 million, a 31.1% margin. The forward outlook carried a more measured tone than the results themselves, which is worth keeping in mind when the headline numbers dominate the conversation.

Workday AI agents: the numbers behind the shift

The composition of new business is the report's most important figure. AI-attributed new annual contract value exceeded $100 million in the quarter, more than a quarter of everything Workday closed. Annual contract value is the annualized value of contracts signed in the period, and it converts into recognized revenue over the life of multi-year deals. That means the ACV mix today is a preview of the revenue mix two or three years out.

AI-specific SKU annual recurring revenue tells the same story from a different angle. It approached $600 million, growth of more than 200% year over year and about 20% sequentially. I read the gap between that 200% ARR growth and the 12.8% consolidated revenue growth as the key signal in the report. The divergence only resolves in one direction: as AI-attributed contracts turn into recognized revenue, the AI line will pull the consolidated numbers up with it.

The customer data explains why management frames this moment as a shift from pilots to production. The number of customers running at least one organic agent rose more than 35% quarter over quarter, to above 5,500. Sequential customer growth of that size, on top of 20% sequential ARR growth, indicates adoption is broadening across the installed base rather than concentrating in a few large deals.

The pilot-to-production framing is the right lens for the customer count. Pilot deployments inflate adoption statistics across the software industry, because they cost vendors little and bind customers loosely. Paid production agents are the opposite: they carry ARR, they are measured, and they are renewed or canceled. The 35% sequential jump in agent customers only matters because the ARR attached to it grew in the same direction, and that combination is what separates this report from vendor slideware.

The skeptical case, and the evidence against it

The counter-argument deserves a hearing. A 25% share of new ACV attributed to AI could be a reporting artifact: if AI capabilities are attached to contracts that would have closed regardless, the figure measures labeling rather than demand. A cohort of 5,500 agent customers, while up a third in a single quarter, is still a small fraction of Workday's full enterprise footprint, and 20% sequential ARR growth compounds off a young base.

That case runs into the ARR data. Customers do not pay separate AI SKU subscriptions for capabilities they would receive anyway. Nearly $600 million in AI ARR, growing more than 200% year over year, is the strongest available evidence that enterprises are committing recurring budget to agent products, and the paid-SKU structure means the spend is additive rather than repackaged. When a metric grows that fast on a base that keeps expanding, the pilot-to-production narrative rests on contract data rather than on presentation slides.

The measured outlook tempers the picture without changing it. A cautious tone on the core business suggests Workday expects the macro environment to stay tight, and the next quarter will test whether the ACV share and ARR growth hold. But a cautious outlook does not undo the structural shift visible in the AI numbers.

Why the margin story matters

The profitability side of the quarter reinforces the AI thesis. Adjusted operating income of $824 million at a 31.1% margin, plus an EPS beat of roughly 5%, shows the AI push is not being subsidized by margin pressure. AI SKUs ride on infrastructure Workday already operates and on a sales motion the company already pays for, so incremental AI revenue flows at a high incremental margin. That is the pattern behind the coverage of the quarter, which ties AI-powered adoption to both product expansion and margin gains.

For investors, the combination matters more than either number alone. Fast-growing AI ARR at high incremental margins is the configuration that lets a mature ERP and HCM vendor re-rate its growth profile without sacrificing profitability. The 31.1% margin is the evidence that the AI mix is helping the income statement, not hurting it.

What decision-makers should do next

For procurement and IT leaders, the practical implication is about contract structure. When a vendor reports that a quarter of new ACV is AI-attributed and sells agents as separate SKUs with their own ARR, agent spend will increasingly be negotiated as its own line item. The question shifts from whether to adopt agents to how deployments are scoped, measured, and renewed, and whether pricing is tied to outcomes the business can verify.

The disclosure itself is a competitive signal. Workday quantified AI-attributed ACV, agent customer counts, and AI ARR growth in its earnings materials, and that level of transparency is becoming the template for how enterprise AI revenue is reported. Buyers evaluating agent platforms can hold vendors to a similar standard of disclosure when they negotiate, and competitors making their own agent claims will now be measured against Workday AI agents as the published benchmark.

There is an internal read as well. When more than a quarter of new ACV carries an AI attribution, the sales organization's incentive structure changes: reps who can attach agent SKUs to deals become the growth engine, and quota models shift accordingly. That is not a detail for Workday alone; every enterprise vendor watching this report is working out the same incentive math.

Workday is not alone in claiming an agent-led future. Most large enterprise software vendors are now selling an agent story of their own, and the difference between marketing and market position shows up in exactly the numbers Workday just published: how much of new business is AI-attributed, how many customers run agents in production, and how fast AI recurring revenue grows. What sets this report apart is that Workday put all three on the record in a single earnings document.

Three conversion metrics will define the next report: whether AI's share of new ACV holds above 25%, whether the 5,500 agent customers expand into additional agents and seats, and whether AI ARR growth stays above 200% as the base widens. The first measures whether the sales force can keep attaching AI to new deals; the second measures whether existing customers find enough value to deepen; the third measures whether the early cohort keeps spending. All three were moving in the right direction in the fiscal second quarter, which is why the disclosure matters more than the beat itself.

Why this matters

Workday's quarter is the strongest evidence yet that enterprise AI procurement has moved past the pilot stage: customers are committing hundreds of millions of dollars in recurring revenue to agents, and the company is willing to publish that claim in its earnings report. For decision-makers, the takeaway is that AI-attributed revenue is now a measurable business line in enterprise software, and it will be the yardstick against which the next several quarters of the industry are measured.

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Researched and cross-referenced against primary sources by the Bytevyte editorial team. This article was generated with the assistance of artificial intelligence and reviewed by the Bytevyte editorial team.