Workday CEO Carl Eschenbach: Building the System of Record for the AI Era
Summary
In this episode, Workday CEO Carl Eschenbach discusses the company’s strategic evolution to manage both human employees and AI agents as integrated parts of the enterprise workforce. He highlights the need to shift the AI adoption narrative within enterprises from short-term ROI and cost savings focus to one that emphasizes AI as a driver of sustainable business growth and innovation. Workday is transitioning its platform to become a unified system of record not only for people and financials but also for AI agents, onboarded and managed with the same rigor around identity, access, governance, and performance benchmarking. The company is leveraging its vast, curated dataset—covering over 70 million users and 30% of U.S. job requisitions—to power domain-specific AI agents that outperform general-purpose large language models in delivering actionable insights within HR and finance workflows. Workday has developed a robust monetization strategy reflecting the hybrid workforce model, employing seat-based pricing for humans, functionally tailored role-based AI agent pricing, and consumption-based billing for API interactions. Eschenbach acknowledges the critical challenges posed by AI agent governance, security, and compliance, drawing parallels to the shadow IT issues of the past and emphasizing the importance of the AI Gateway for secure onboarding. The episode also addresses common concerns about AI-driven job displacement, with Eschenbach rejecting dramatic workforce reductions and instead advocating for AI-human coexistence that augments employee productivity and enables a workforce skills revolution. Internal programs like ‘Everyday AI’ empower Workday’s 20,000 employees to adopt AI tools effectively. The company’s acquisition of specialized AI agent providers, such as recruiter agents that boost hiring efficiency, illustrates practical ROI in enterprise workflows. Finally, Eschenbach discusses the realities of enterprise AI sales as a top-down, relationship-driven process and cautions against opportunistic AI pricing, underscoring sustainable, value-aligned monetization as central to long-term customer trust and success.
Key Takeaways
- 1Workday redefines itself as a system of record that manages a hybrid workforce of both humans and AI agents, integrating AI agents similarly to employees with governance, access control, and performance tracking.
- 2The company emphasizes shifting the enterprise AI adoption conversation from a narrow ROI and cost-saving focus to a broader growth value proposition that fosters peaceful coexistence between human workers and AI agents.
- 3Workday’s AI monetization employs a three-pronged pricing strategy—seat-based pricing for human users, role-based pricing for AI agents customized to specific enterprise functions, and consumption-based pricing for API access to AI services.
- 4Domain-specific AI agents powered by Workday’s vast, curated enterprise datasets outperform general-purpose large language models, providing actionable, contextually aware insights within business workflows.
- 5Effective governance and secure onboarding of AI agents pose critical challenges akin to the shadow IT problems of prior decades, necessitating robust identity, access control, and compliance frameworks.
- 6The AI-enabled workforce future involves hybrid management where AI agents augment human workers by automating repetitive or low-value tasks, facilitating employees’ focus on strategic, high-value activities.
- 7Enterprise AI sales are predominantly a top-down process that requires engagement with senior leaders such as CIOs and department heads, contrasting with product-led growth models common in consumer markets.
- 8Workday advocates embedding AI co-pilots as foundational, integrated product features rather than bolt-ons, promoting a value-aligned subscription pricing model instead of opportunistic price increases.
- 9Workday’s internal ‘Everyday AI’ training program empowers employees to adopt AI effectively, fostering a skills revolution that prepares its workforce for AI-augmented workflows.
- 10AI-driven talent matching and internal mobility solutions by Workday reduce employee attrition by up to 40% by aligning skills, experience, and projects to foster growth opportunities within organizations.
Notable Quotes
"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 replaced. We need to flip that narrative as well."
"Workday, as you may know, is a system of record for people and the numbers produced by those people. As we move into a world where people are complemented by AI agents, Workday is on a path to become the system of record, not just for people, but also AI agents. And of course, all the work done in numbers produced by those people and those agents."
"We now have a database, a highly curated database of more than 70 million users that is processing 30% of the job recs in the United States last year. And when you think about AI, at the end of the day, it's all about data."
"As we talk about agents, and I'm sure we'll talk about it here, I think domain-specific agents with highly curated data are much more beneficial in the enterprise than just general purpose LLM models that are out there. Agreed. That's why we think we're uniquely positioned."
"Going forward, as we start to think about this world of AI and the potential of all of these agents entering the world in the enterprise, someone has to think about how you onboard them in a secure, responsible, ethical, compliant way and make sure their identity and access controls and all the data they get access to has governance around it. Today, that's the risk."
""With AI, it's a top-down sale in most cases. It's not product-led growth up to the enterprise. You're selling to the heads of departments or heads of functions or a CIO. So I think the distribution is coming back to a much more inhuman sales motion.""
""Co-pilots are going to become part of the core foundation of all products, and it should be built in, not bolted on, and it should be the value our customers get and receive by paying us a subscription fee on an annual basis. We have to innovate. To be honest, we got beat up quite a bit. Why aren't you doing this? You have co-pilots. You should be monetizing.""
""We need to talk about AI from a growth value proposition, not just an ROI value proposition. And that's how you get the employees and agents and AI to peacefully coexist in the enterprise and really drive growth for companies.""
""We have Slack AI. We have Zoom AI. We use Gemini all the time. Gemini is something I use all the time. So an example, I'm preparing for earnings every 90 days, which is so much fun. You just throw it in Gemini and boom, and you save hours of reading.""
""This recruiter agent we brought to market, we can give it to a recruiting organization or talent acquisition organization. And they, in a very short matter of time, can see a 50% increase in recruiter productivity. It also has proved to accelerate time to hire by 20, 30, up to 40%.""
"And when you implement them, we have seen upwards of 40% reduction in attrition. And the reason for that is, for the employee, it takes a look at all your skills, your background, and your experience. And for the manager, you say, I have this project or outcome I'm trying to achieve, and it starts to do the matching between the two. So what it drives is an increased level of internal mobility with your workforce, which drives down attrition because people feel like they're getting new opportunities."
"Accenture, one of our biggest partners out there, who's a very reputable, as you know, system integrator, global system integrator. Today, their new hires, 30% to 35% of their new hires do not have a college degree. It's pretty amazing. Because what they've done, they're probably one of the most advanced companies I've worked with that looks at skills and job outcomes or job recs they're trying to fill. And then they use AI to match the two. Right? And that's what our product does internally."
"It's all about the human touch and human connection. In the relationship you establish with the other person. That's really what's important at the end of the day. But that's also why we always talk about and you talk about probably the same thing. There's going to be a human in the loop in all of this, especially in hiring. I personally would not accept someone into our company if they was 100% done purely based on skills and skills requirement. There has to be a human in the loop all the time."
"And so I think the optimistic view and sort of what I'm hoping for out of the world of AI is technology, to your point earlier on how we work for technology and it's going to work for us, technology kind of fades into the background because AI is doing a lot of the work. And it sort of frees you to have the human connection be more front and center. That's why I think we move from a world where we're working with technology to the technology working for us."
"We're not going to have Carl Vibes coding the code base. Yeah. No, I would love to see Carl Vibes coding. That would be a problem. There are some things I can do and there's a lot I can't. That's one I can't, right?"