How Is Workday Building the System of Record for the AI Era? CEO Carl Eschenbach Explains

TL;DR
Workday plans to become the system of record for both people and AI agents by combining trusted enterprise workflows with highly curated, contextual data. CEO Carl Eschenbach says its database includes more than 70 million users, while its AI business model spans seat-based pricing, role-based agents, and consumption-based API access. Read on to understand how this strategy connects AI adoption, employee productivity, governance, and growth.
Transcript
as soon as you go in and you talk to the enterprise a CEO CFO CIO whatever it may be it immediately goes to an ROI conversation like this is going to save me a boatload of money And in some cases it is That being said if you only focus on the benefit of the ROI what happens is immediately if you're an employee you start to think man my job's being ... Read More
Key Insights
- Workday is evolving to become a system of record for both human and AI workers, focusing on integrating AI agents into the enterprise workflow.
- The company employs a three-pronged approach to monetize AI: seat-based pricing, role-based agents, and consumption-based API access.
- Workday's database of over 70 million users provides a significant advantage in AI development, emphasizing the importance of curated data and context.
- Eschenbach highlights the need to shift the AI narrative from just ROI to growth value, encouraging reinvestment in business growth.
- AI agents are seen as complementary to human workers, enhancing productivity rather than replacing jobs, and enabling employees to focus on higher-value tasks.
- Workday is developing an AI gateway to manage the onboarding and governance of AI agents, ensuring secure and compliant integration into enterprises.
- The company is launching an 'everyday AI' training program for all employees to enhance personal productivity and embrace AI tools.
- Eschenbach emphasizes the importance of maintaining human connection and empathy in the workplace, even as AI becomes more integrated.
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Questions & Answers
Q: How is Workday building a system of record for the AI era?
Workday is expanding its role from managing people and money to supporting human workers, AI agents, and the work they produce. Its strategy combines trusted enterprise workflows, curated data, contextual information, and domain-specific agents.
Q: Why does Workday believe it is well positioned for enterprise AI?
Workday has more than 70 million users, 11,000 customers, and 20 years of experience managing customers' people and money. Carl Eschenbach says its advantage also comes from knowing the context of the data and operating inside business process workflows.
Q: What data does Workday manage for its customers?
Workday describes people and money as the two most critical assets it manages for companies. Its platform covers human resources and financials, giving it data and context within core enterprise workflows.
Q: How does Workday plan to monetize AI?
Workday describes a three-pronged model consisting of seat-based pricing, role-based agents, and consumption-based API access. These approaches connect pricing to users, the roles performed by agents, and API usage.
Q: Why are role-based AI agents important to Workday's strategy?
Workday believes role-based agents can use highly curated data and its context to produce results within enterprise workflows. Eschenbach argues that domain-specific agents are more beneficial in the enterprise than general-purpose LLM models.
Q: How does Workday approach AI agent governance?
Workday is developing an AI gateway to manage the onboarding and governance of AI agents. The goal is to support secure and compliant integration into enterprises.
Q: How does Carl Eschenbach think companies should discuss AI with employees?
Eschenbach says companies should present AI as a growth value proposition, not only as a source of ROI and cost savings. He argues that savings can be reinvested in the business to drive growth, helping employees and AI agents coexist productively.
Q: Does Workday view AI agents as replacements for human workers?
Workday presents AI agents as complementary to human workers rather than simple replacements. The stated aim is to improve productivity, move employees toward higher-value work, and preserve human connection and empathy.
Summary & Key Takeaways
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Definition: Workday aims to become the system of record for people, money, AI agents, and the work and numbers they produce.
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Number: Workday says its highly curated database contains more than 70 million users.
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Number: Workday processed 30% of United States job requisitions last year.
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Number: Workday has 11,000 customers and has operated for 20 years.
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Tool: Curated data, contextual information, and business process workflows support Workday's role-based AI agents.
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Compare: Workday considers domain-specific agents with highly curated data more beneficial for enterprises than general-purpose LLM models.
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Step 1: Monetize AI through seat-based pricing tied to users.
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Step 2: Offer role-based agents that operate within enterprise workflows.
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Step 3: Charge for consumption-based API access.
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Tool: Workday's AI gateway manages the onboarding and governance of AI agents for secure and compliant enterprise integration.
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Compare: Eschenbach frames AI as a growth value proposition, not only an ROI and cost-saving proposition.
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Who: Workday CEO Carl Eschenbach says AI savings should be reinvested to drive business growth.
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