Workday AI Agent Gateway | Enterprise AI

Want to automate HR & finance? Workday’s Agent Gateway connects AI agents to streamline business processes! Learn more.#Workday #AIAgents #EnterpriseAI

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Explanation in video

Lila: John, I’ve been seeing a lot of buzz online about Workday and some new AI announcements. It sounds like a pretty big deal for enterprise tech. What’s the latest scoop?

John: You’re right on the pulse, Lila. Workday has indeed unveiled a significant expansion of its AI capabilities, primarily focused on developers and how enterprises can integrate AI more deeply into their operations. The headline grabbers are their new AI developer toolset, which includes something called the Agent Gateway, new AI Widgets, and expanded AI Gateway APIs (Application Programming Interfaces – essentially, a way for different software programs to communicate with each other).

Basic Info: Understanding Workday’s AI Leap

Lila: Agent Gateway – that term keeps popping up. Is this entirely new, or building on something Workday already had?

John: It’s an evolution, and a significant one. This new toolset is an extension of Workday’s Illuminate platform. You might recall Illuminate was rolled out around September 2024. Its goal has always been to leverage AI to accelerate common tasks within the Workday ecosystem – think drafting job descriptions, generating contract text, or providing real-time AI assistance embedded directly within user workflows. The power behind Illuminate, and by extension these new tools, comes from the immense dataset Workday processes: reportedly over 800 billion business, HR, and financial transactions annually from its customers.

Lila: 800 billion transactions! That’s a massive amount of data to train AI on. So, when can businesses actually start using this Agent Gateway?

John: Patience is a virtue here, especially for the Agent Gateway. While some of the other new tools are becoming available sooner, early adopters for the Agent Gateway itself will likely have to wait until closer to the end of 2025. Workday is taking a phased approach to ensure stability and gather feedback, which is standard for enterprise-grade technology of this nature.

Lila: That makes sense. So, in simple terms, what *is* this “Workday” we’re talking about, for readers who might not be familiar with them beyond these AI announcements?

John: Excellent point, Lila. For those new to the name, Workday, Inc. is a major player in the enterprise cloud applications space. They are best known for their Human Capital Management (HCM) (software for managing employees, from recruitment to retirement) and Financial Management software. Essentially, they provide the digital backbone for many large organizations to manage their people and money. These new AI tools are designed to make those core functions smarter and more efficient.

Lila: So, it’s like they’re adding a super-smart assistant layer on top of the systems companies already use for HR and finance? And this “Agent Gateway” is a core part of that new layer?

John: Precisely. Think of AI agents as specialized digital workers. The Agent Gateway is envisioned as the central access point, the main door, for these AI agents – both those developed by Workday and those from third-party partners – to connect with and operate within the Workday environment. It’s about creating a cohesive ecosystem where different AI tools can collaborate.

Supply Details: Availability and Access

Lila: You mentioned the Agent Gateway is for late 2025. What about the other tools Workday announced? Are they on a similar timeline?

John: Fortunately, not everything requires that long a wait. The new Workday AI Services, the AI Widgets (small, embeddable AI-powered interface elements), and the new capabilities for Developer Copilot (an AI assistant for writing code) are actually available now for customers using Workday Extend Professional. Workday Extend is their platform-as-a-service offering that allows developers to build custom applications on top of Workday data.

Lila: So, developers who are already building on Workday Extend can get their hands on some of this AI goodness right away. What about tools for more general development tasks, not just within Extend?

John: Yes, Workday is also catering to broader development needs. They’re working on a new Workday Developer CLI (Command-Line Interface – a text-based way to interact with computer programs). This CLI is intended to help automate development tasks, improve collaboration among developers, and better integrate Workday development into standard DevOps (Development Operations – practices that combine software development and IT operations) workflows. They’re aiming for general availability of the CLI by the end of this year, 2025.

Lila: Okay, so it’s a mix: some tools are out now for specific users, the CLI is coming soon, and the big Agent Gateway is the longer-term piece. Is access to these tools included in standard Workday subscriptions, or are they add-ons?

John: Typically, advanced features and developer platforms like Workday Extend Professional come with their own licensing or subscription tiers. The specifics would depend on a customer’s existing agreement with Workday. It’s common for such powerful new capabilities to be part of premium offerings, reflecting the value and R&D investment involved. Companies interested would need to discuss specifics with Workday sales or account management.

Lila: That’s a good clarification. So, it’s not like a free update everyone gets; it’s more for organizations looking to seriously invest in custom AI solutions on Workday.

John: Exactly. These tools are aimed at empowering developers and enterprises to build sophisticated, tailored AI applications and extend Workday’s functionality in new ways. This often involves a dedicated development effort and a strategic decision to leverage these advanced AI capabilities.

Technical Mechanism: How Does It All Work?

Lila: This Agent Gateway sounds like the star of the show. You said it connects Workday agents with external agents. How does it actually manage that? What’s going on under the hood?

John: That’s where it gets really interesting. The Agent Gateway is designed to enable enterprises to connect their Workday-native AI agents with external AI agents, thereby facilitating the creation of what we call advanced multi-agent applications. These are applications where multiple specialized AI agents collaborate to perform complex tasks that might span across different software platforms.

Lila: Multi-agent applications… like a team of AI specialists working together?

John: Precisely. Imagine one AI agent specialized in data extraction, another in natural language understanding, and a third in generating financial reports. A multi-agent application could coordinate these agents to, say, automatically analyze incoming vendor invoices, understand their content, extract key data, and then generate a payment approval request within Workday’s financial system. The Agent Gateway acts as the orchestrator or a central hub for these interactions.

Lila: And how does Workday keep track of all these different agents, especially if some are from outside Workday?

John: That’s the role of another key component: Workday’s Agent System of Record (ASOR). The Agent Gateway works in conjunction with ASOR. Think of ASOR as a specialized layer within Workday’s core platform. Its purpose is to help enterprises manage both Workday-developed agents and third-party agents all in one place. It provides the tools for governing these agents, managing their lifecycles, and optimizing their performance.

Lila: So, ASOR is like the HR department for AI agents? It registers them, tracks them, and makes sure they’re behaving?

John: That’s a great analogy, Lila! It really emphasizes the governance aspect. And to facilitate this collaboration with external agents, ASOR utilizes shared protocols. This is crucial for interoperability. The information from Workday indicates they are leveraging standards like Anthropic’s Model Context Protocol (MCP) and Google’s Agent-to-Agent Protocol (A2A).

Lila: MCP and A2A? Can you break those down a bit? Why are standard protocols so important here?

John: Certainly. Standard protocols are like common languages that different AI agents can use to understand each other and exchange information effectively.
Anthropic’s Model Context Protocol (MCP) is designed to help AI models, especially large language models, better understand the context of a conversation or task. It allows for richer, more structured information to be passed to the model, which can lead to more accurate and relevant responses.
Google’s Agent-to-Agent Protocol (A2A), as the name suggests, is focused on enabling different AI agents, potentially built by different vendors or on different platforms, to communicate and collaborate. It aims to define a standard way for agents to discover each other, negotiate tasks, and exchange data.
By adopting these kinds of open or widely recognized protocols, Workday is aiming to make its ecosystem more open and prevent vendor lock-in, allowing for a broader range of AI agents to potentially connect to ASOR via the Agent Gateway.

Lila: So, it’s not just Workday’s AI talking to Workday’s AI. By using these protocols, they’re opening the door for a wider range of AI tools to play nicely together within the Workday environment, all managed by ASOR. That sounds powerful, but also complex to manage.

John: It is indeed powerful, and yes, managing such a system is complex, which is why governance is a central theme in Workday’s messaging. The idea is that enterprises need robust control over these AI agents, especially concerning their access to sensitive HR and financial data. The Agent Gateway, coupled with ASOR, is Workday’s answer to providing that governed, predictable orchestration of AI agents, not just within Workday’s core applications but also in conjunction with external systems. This control is paramount.

Lila: And all this is powered by that massive dataset you mentioned earlier? The 800 billion transactions?

John: Yes, that dataset is foundational for Workday’s own AI models and services. The insights derived from that anonymized and aggregated data help make Workday’s AI particularly attuned to the nuances of HR and finance tasks. When third-party agents connect via the Agent Gateway, they are interacting with this data-rich environment, but always under the governance rules set by the enterprise through ASOR.

Team & Community: The People and Partners Behind the Tech

Lila: So, who exactly is building all these AI agents that will connect through the Agent Gateway? Is it just Workday, or are others involved?

John: Workday is certainly developing its own suite of AI agents, but a crucial part of their strategy is the Workday Agent Partner Network. This is an ecosystem of global partners who are building AI agents designed to connect with Workday’s Agent System of Record. The idea is to foster a marketplace of diverse AI capabilities that customers can tap into.

Lila: A partner network sounds like a smart move. Who are some of these partners? Are they big names?

John: They are indeed. The list of initial partners is quite impressive and includes major technology companies and consulting firms. We’re talking about names like Accenture, Adobe, Amazon Web Services (AWS), Google Cloud, IBM, Microsoft, and PwC. There are also more specialized AI companies in the mix, such as Auditoria.AI, Compa, Deloitte, Glean, Kainos, KPMG, Paradox, and WorkBoardAI. This breadth of partners suggests a strong commitment to building a comprehensive ecosystem around their AI agent strategy.

Lila: Wow, that’s a heavyweight lineup. So, customers won’t just be limited to Workday’s own AI tools; they can potentially pick and choose from solutions built by these partners too, all managed through the Workday platform?

John: That’s the vision. The Workday Marketplace already features a selection of agents developed either by Workday itself or by vendors in its Agent Partner Network, which are designed to be used with the Agent Gateway. This allows customers to find pre-built solutions for specific needs or work with partners to develop custom agents.

Lila: What about the community aspect beyond these official partners? Are individual developers encouraged to get involved?

John: Absolutely. With tools like Workday Extend, the Developer Copilot, and the upcoming Developer CLI, Workday is clearly investing in its developer community. They host events like the Workday DevCon (Developer Conference), where these announcements were made, specifically to engage with developers, provide them with new tools, and gather feedback. A strong developer community is vital for driving innovation and adoption of any platform.

Lila: So, it’s a two-pronged approach: large strategic partners bringing enterprise-scale solutions, and a growing community of individual and corporate developers building more niche or custom applications.

John: Precisely. This creates a richer, more diverse ecosystem. The partners can help with large-scale deployments and integrations, while the broader developer community can drive innovation at the edges, creating specialized tools and extending the platform in ways Workday itself might not have envisioned.

Use-Cases & Future Outlook: What Problems Does It Solve?

Lila: We’ve talked a lot about the ‘how,’ but let’s dive deeper into the ‘why.’ What specific problems are Workday AI Agents and the Agent Gateway designed to solve for businesses?

John: At a fundamental level, it’s about enhancing productivity, improving decision-making, and streamlining complex business processes, particularly in HR and finance. The Illuminate platform, which underpins these new tools, already aims to accelerate common tasks. For example, an AI agent could help an HR manager draft a consistent and compliant job description in minutes instead of hours, or assist a legal team in quickly generating first drafts of standard contracts by pulling relevant clauses and data.

Lila: So, it’s like having a very efficient assistant for those routine but time-consuming tasks. What about more complex scenarios?</p

John: That’s where the multi-agent applications enabled by the Agent Gateway come into play. Consider employee onboarding. This is typically a multi-step process involving HR, IT, finance, and the hiring manager. An AI-driven workflow could use different agents to automatically provision IT equipment, enroll the new hire in benefits programs, set up payroll, and even create a personalized onboarding plan with relevant training materials. Each agent handles its specialized part, orchestrated through the Workday platform.

Lila: That sounds like it could save a lot of manual coordination and reduce errors. Are there specific benefits for developers too, beyond just building these agents?

John: Yes, for developers, the new toolset offers significant advantages. The AI Widgets, for instance, allow them to easily embed AI-powered guidance and assistance directly into in-house applications they build on Workday Extend. They can even personalize the AI in these widgets with custom prompts for specific teams or individual users. The expanded AI Gateway APIs allow developers to natively integrate Workday AI services, like natural language conversation abilities or document intelligence, directly into their custom applications.

Lila: And the Developer Copilot you mentioned earlier? How does that fit into the picture for developers?

John: Developer Copilot acts as a conversational AI coding companion. It’s designed to make developers more productive by helping them with tasks like generating application code snippets, creating data queries, finding the right APIs for a particular use case, and even generating functional orchestrations along with their documentation. It’s about reducing the drudgery of coding and allowing developers to focus on higher-value problem-solving.

Lila: Looking ahead, what’s the broader future outlook for this kind of technology? How could it reshape how enterprises operate?

John: The long-term vision, as articulated by Workday and many in the industry, is to move towards a more integrated human-digital workforce. The Agent System of Record (ASOR) is a key indicator of this – it’s designed to manage AI agents *alongside* human employees. This suggests a future where AI agents are treated as integral team members, handling specific tasks and collaborating with human colleagues. This could fundamentally reshape enterprise workforce dynamics, optimize resource allocation (both human and digital), and unlock new levels of efficiency and innovation.

Lila: Managing AI agents like employees – that’s a fascinating concept. It implies a much deeper integration of AI into the fabric of an organization than just using standalone AI tools.

John: Exactly. It’s about AI becoming an inherent part of business processes, not just an add-on. The potential is there to automate more sophisticated workflows, provide highly personalized employee and customer experiences, and enable data-driven decision-making at a scale previously unimaginable. The focus on governance and responsible AI, which Workday emphasizes, will be critical to realizing this future successfully.

Competitor Comparison: How Does Workday Stand Out?

Lila: Workday isn’t the only big enterprise software company investing heavily in AI, right? How do these new announcements, particularly the Agent Gateway and ASOR, help Workday differentiate itself from competitors like SAP, Oracle, or Salesforce?

John: You’re absolutely correct, Lila. The enterprise AI landscape is incredibly competitive. Companies like Salesforce have Einstein AI, SAP has Joule, and Oracle has its own suite of AI-infused cloud applications. Each is vying to offer the most compelling AI solutions. Workday’s differentiation strategy seems to hinge on a few key areas.

First, its deep entrenchment and specialized focus on Human Capital Management (HCM) and Financial Management. The 800 billion annual transactions provide a rich, domain-specific dataset that can train AI models to be highly effective in these particular areas. Competitors might have broader platforms, but Workday can claim deep expertise and tailored AI for the ‘people and money’ aspects of a business.

Lila: So, their specialized data gives them an edge for HR and finance AI? What else?

John: The concept of the Agent System of Record (ASOR) is quite distinctive. While other platforms offer AI tools and marketplaces, Workday’s explicit framing of ASOR as a system to manage AI agents *like employees* – focusing on governance, lifecycle management, and performance optimization in one central place – is a strong statement. It addresses a critical enterprise need for control and oversight as AI becomes more pervasive. This structured approach to AI agent management, integrated directly into their core platform, could be a key differentiator.

Lila: So it’s not just about providing AI tools, but providing a framework to manage and govern them systematically. What about the openness of the Agent Gateway?

John: That’s another important aspect. By planning to use shared protocols like Anthropic’s MCP and Google’s A2A, Workday is signaling an intention for a degree of openness with its Agent Gateway. While it currently supports external agents from its Agent Partner Network, the adoption of such protocols could, in theory, pave the way for broader interoperability in the future. This contrasts with potentially more closed ecosystems and could appeal to enterprises wary of vendor lock-in and wanting to leverage best-of-breed AI agents from various sources.

Lila: How does their developer focus compare? You mentioned the new toolset is very developer-centric.

John: Workday’s investment in its developer ecosystem with tools like Workday Extend, the Developer Copilot, AI Widgets, and the upcoming CLI is significant. While competitors also have developer programs, Workday’s push to empower developers to build and customize AI applications directly on its platform, leveraging its core data and services, is a strong strategic move. It allows for a high degree of personalization and innovation tailored to specific customer needs, which can be a powerful selling point against more one-size-fits-all AI solutions.

Lila: So, to summarize the differentiation: deep HR/finance domain expertise and data, a strong governance framework with ASOR, a potential for openness with Agent Gateway, and a robust developer platform?

John: That’s an excellent summary. Of course, the ultimate success will depend on execution, adoption, and how quickly the ecosystem around the Agent Partner Network grows and matures. But these are the pillars Workday seems to be building its distinct AI strategy upon.

Risks & Cautions: Potential Downsides and Challenges

Lila: This all sounds very promising, John, but no new technology comes without its challenges or potential downsides. What are some of the risks or cautions businesses should consider with Workday’s new AI agent strategy?

John: That’s a crucial perspective, Lila. One immediate consideration is the dependency on the Workday ecosystem. While the Agent Gateway aims for openness through protocols, the Apify results note that, “For now, Agent Gateway and ASOR only support external agents that are built on vendor platforms in Workday’s Agent Partner Network.” This means initial flexibility might be limited to approved partners, potentially creating a walled garden, at least in the early stages. True openness will depend on how broadly they expand support beyond this initial network.

Lila: So, a bit of a “wait and see” on how open it truly becomes. What about data concerns? We’re talking about sensitive HR and financial data.

John: Absolutely. Data privacy and security are paramount. While Workday has robust security measures for its core platform, integrating numerous third-party AI agents, even through a governed gateway, introduces new complexities. Enterprises will need to be extremely diligent about data governance, access controls, and understanding how each agent processes and protects data. The responsibility for ensuring compliance with regulations like GDPR or CCPA will be significant.

Lila: That makes sense. The more connections you have, the more potential points of vulnerability if not managed carefully. What about the complexity of it all?

John: The complexity of managing multi-agent systems is another challenge. While ASOR aims to simplify this, orchestrating, monitoring, and troubleshooting a diverse set of AI agents from different vendors, each with its own behaviors and update cycles, can be a significant operational hurdle. It will require new skills and potentially new roles within IT and business departments to manage this “digital workforce” effectively.

Lila: And with any new technology, there’s always an adoption curve, right?

John: Precisely. The adoption curve and change management will be key. Integrating these AI agents deeply into business processes isn’t just a technical challenge; it’s a human one. Employees will need training, workflows will need to be redesigned, and there might be resistance to adopting new ways of working. The success of these AI initiatives will depend heavily on how well organizations manage this human element.

Lila: Are there any financial risks or considerations for businesses looking to adopt this?

John: Investment in these advanced AI capabilities will likely require a significant financial commitment. Beyond the licensing costs for Workday’s platform and potentially for third-party agents, there will be costs associated with development, integration, training, and ongoing management. Businesses need to carefully evaluate the ROI (Return on Investment) and ensure they have a clear strategy for how these AI agents will deliver tangible value.

Lila: So, it’s not a magic bullet. Careful planning, strong governance, and a realistic view of the complexities are essential.

John: Exactly. The potential is enormous, but so is the need for a thoughtful and strategic approach to implementation and management.

Expert Opinions / Analyses

Lila: It’s always interesting to hear what industry analysts think about these kinds of major announcements. Have any experts weighed in on Workday’s Agent Gateway and AI strategy?

John: Yes, industry analysts are definitely paying attention. The Apify results you shared included a pertinent quote from Abhigyan Malik, a Practice Director at Everest Group. He offered some insightful commentary on the Agent Gateway specifically.

Lila: Oh, right! What was his take?

John: Malik highlighted that the Agent Gateway is Workday’s mechanism for providing “governed, predictable orchestration of AI agents.” This isn’t just about connecting agents, but doing so in a controlled and reliable manner. He emphasized that this kind of orchestration and governance is critical for enterprises, especially when they’re working with advanced agentic applications across what he termed a “heterogeneous technology stack” – meaning, a technology environment made up of diverse systems from different vendors.

Lila: So, he sees the governance aspect as a key strength for enterprises dealing with complex tech setups?

John: Precisely. Malik pointed out that this governance allows enterprises to maintain control over these AI agents, particularly in terms of their access to data. And he specifically mentioned that this is highly relevant in HR and financial contexts, which, as we know, are Workday’s core domains and involve highly sensitive information. His analysis underscores that Workday is trying to address a real pain point for businesses: how to harness the power of diverse AI agents without losing control or compromising data security.

Lila: That aligns with what we were just discussing about risks and the importance of data governance. It sounds like Workday is trying to build the solution with those concerns in mind from the outset.

John: It certainly appears so. By prioritizing governance and providing tools like ASOR in conjunction with the Agent Gateway, Workday is aiming to build trust with its enterprise customers. The ability to manage and oversee AI agents, especially those handling sensitive HR and financial data, is not just a feature – it’s a fundamental requirement for adoption in these regulated industries.

Lila: Are there other general sentiments from analysts about Workday’s broader AI direction?

John: Generally, analysts view Workday’s continued investment in AI positively, recognizing it as essential for staying competitive in the enterprise software market. The focus on leveraging their unique dataset for HR and finance is often seen as a strategic advantage. However, like with any forward-looking announcement, analysts will also be watching closely for execution, customer adoption rates, and the tangible benefits that these new tools deliver over the coming months and years. The proof, as they say, will be in the pudding.

Latest News & Roadmap

Lila: So, to recap the very latest, these announcements about the AI developer toolset, including the Agent Gateway, AI Widgets, and the expanded AI Gateway APIs, are fresh off the press, right? From Workday’s DevCon in June 2025, according to the sources.

John: That’s correct. These are Workday’s most recent major pronouncements in the AI space, signaling their strategic direction for the near future. The Workday Developer Conference (DevCon) is typically where they unveil new tools and platform enhancements aimed at their developer community and partners.

Lila: And in terms of a concrete roadmap, what are the key timelines we know so far?

John: Let’s summarize the key dates and availability:

New Workday AI Services, AI Widgets, and new Developer Copilot capabilities: These are currently available for customers using Workday Extend Professional. So, developers on that platform can start leveraging these enhancements now.
Workday Developer CLI (Command-Line Interface): Workday intends to make this generally available by the end of 2025. This will be a new tool for developers to automate tasks and integrate Workday into DevOps workflows.
Agent Gateway: This is the one with the slightly longer horizon. It will be available to early adopter customers by the end of 2025. Broader availability will likely follow in 2026, depending on feedback from the early adopter program.

Lila: So, a phased rollout, with some immediate benefits for Extend Professional users and more to come throughout the year and into the next for the Agent Gateway. What about the Agent Partner Network? Is that expected to grow?

John: Absolutely. The initial list of partners is strong, but the nature of such ecosystems is that they expand over time. Workday will likely be actively recruiting more partners to build agents and solutions that connect to their Agent System of Record. The more diverse and capable the partner-built agents are, the more valuable the Agent Gateway and the overall ecosystem become for customers. We should expect to see new partner announcements periodically.

Lila: And what about Workday’s own AI development? Are they continuously improving their Illuminate platform and native AI agents?

John: Continuous improvement is the name of the game in AI. Workday will undoubtedly continue to refine its AI models, develop new native AI agents for its core HCM and Financial Management applications, and enhance the capabilities of the Illuminate platform. The 800 billion transactions they process annually provide an ever-growing dataset for training and improving their AI, so it’s an ongoing evolutionary process.

Lila: It sounds like a very active and evolving space. Businesses and developers will need to keep an eye on Workday’s announcements to stay up-to-date with the latest capabilities and timelines.

John: Precisely. For anyone invested in the Workday ecosystem, or considering it, staying informed about their AI roadmap will be crucial for strategic planning and for understanding how to best leverage these emerging technologies.

FAQ: Answering Your Questions

Lila: John, this has been incredibly insightful. I can imagine our readers might have some quick questions. Perhaps we can do a rapid-fire FAQ section?

John: An excellent idea, Lila. Let’s tackle some common questions that might arise.

Lila: Okay, first up: What exactly is Workday’s Agent Gateway in simple terms?

John: In simple terms, Workday’s Agent Gateway is like a central, managed doorway. It allows specialized AI software programs, called AI agents (both from Workday and its approved partners), to securely connect and work together within the Workday system to automate tasks and provide intelligent assistance, especially for HR and finance functions.

Lila: Next: What is the Workday Agent System of Record (ASOR)?

John: The Workday Agent System of Record (ASOR) is a management layer within the Workday platform. Think of it as the HR and operations department for AI agents. It allows businesses to register, manage, govern, and monitor all their AI agents (Workday’s own and third-party ones) in one central place, ensuring they operate securely and effectively.

Lila: Who can use these new Workday AI tools, like the Agent Gateway?

John: Primarily, these tools are aimed at enterprises that use Workday for their HR and financial operations and want to leverage AI for greater efficiency and insight. Developers within these enterprises, or working for Workday partners, will use tools like Workday Extend, the Developer Copilot, and the AI APIs to build and integrate AI agents. The Agent Gateway itself will be used by enterprises to connect and manage these various agents.

Lila: When will the Workday Agent Gateway be available?

John: The Workday Agent Gateway is slated for availability to early adopter customers by the end of 2025. Broader general availability will likely be in 2026. Other tools, like new AI Widgets and Developer Copilot features, are already available for Workday Extend Professional users.

Lila: What are the main benefits of using Workday AI Agents and the Agent Gateway for a business?

John: The main benefits include:

Increased efficiency: Automating repetitive tasks in HR and finance.
Improved decision-making: Gaining insights from AI analysis of data.
Enhanced employee experience: Providing intelligent assistance and streamlining processes like onboarding.
Greater agility: Allowing businesses to create custom AI solutions tailored to their specific needs.
Better governance: Managing all AI agents through a central system (ASOR) for better control and security.

Lila: And one more: Do I need to be an AI expert to use applications powered by these Workday AI agents?

John: Generally, no. For the end-users (like HR managers or finance professionals), the AI capabilities will be embedded within their familiar Workday applications or custom apps built on Workday. The goal is to make these AI assistants intuitive and helpful without requiring users to understand the underlying AI technology. The complexity is handled by the developers building the agents and the platform managing them.

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