AI has spent years being sold as possibility. Workday’s latest results show enterprise customers increasingly treating it as a buying decision.
The commercial signal
Workday reported fiscal second-quarter revenue of $2.649bn, with AI driving more than 25% of new annual contract value. Reuters reported that more than half of Workday’s net new wins in the quarter took one or more AI solutions.
That moves the buyer conversation beyond whether organisations are interested in AI. The questions now are what they are buying, where it enters the workflow, which work changes and how value will be measured.
A deployed system has to perform
Define the outcome before the feature
A compelling demonstration can show possibility. A commercial implementation needs an agreed result, baseline, owner, acceptance test and route when the result is not achieved.
Price the operating model, not only the licence
Integration, data preparation, review, security, training, monitoring and change control all affect the real cost and value of AI. Buyers should make those dependencies visible before approval.
Keep accountability after automation
The more work a system performs, the clearer ownership must become. SOS is built around named human decisions and evidence that buyers can inspect.
Five questions for an AI business case
- Which decision or task changes?
- What measurable outcome matters?
- What data and integration does it require?
- Who owns exceptions and failure?
- What evidence will decide whether it scales?
AI becoming a revenue line raises the standard for sellers and buyers. Possibility opens the meeting. Measurable operation earns the renewal.
Sources reviewed
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