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Salesforce and Workday Forge AI and Data Partnership

In a move that adjusts the enterprise software landscape, Salesforce and Workday have announced a strategic partnership aimed at improving employee experiences through AI. The collaboration will see the creation of an AI-powered employee service agent, leveraging the strengths of both companies to deliver personalized support across various HR functions.

Marc Benioff, Chair and CEO of Salesforce, emphasized the transformative potential of this partnership: “We’re excited about our new AgentForce platform and this partnership with Workday. Together, we’ll help businesses create amazing experiences powered by generative and autonomous AI, enabling every employee to get answers, learn new skills, solve problems, and take action quickly and efficiently.”

Carl Eschenbach, CEO of Workday, echoed this sentiment, stating: “By integrating our platforms, datasets, and powerful AI capabilities, Salesforce and Workday are empowering our customers to deliver unmatched AI-powered employee experiences that ultimately lead to happier customers and drive unprecedented business value.”

AgentForce Teased

Benioff earlier this month teased the new AgentForce platform. This platform appears to be at the heart of Salesforce’s strategy to revolutionize how businesses interact with AI across their operations. According to Salesforce representatives, AgentForce will be formally announced at Dreamforce 2024 in two months.

AgentForce is designed to create AI agents capable of performing complex tasks autonomously, moving beyond traditional chatbots to deliver more sophisticated, action-oriented AI interactions. These agents are built to understand context, process various types of input (including text, images, audio, and video), and take actions across multiple Salesforce clouds.

Second AgentForce Product in a Week

The AI employee service agent announced in the Salesforce-Workday partnership marks the second AgentForce product unveiled in just one week. This rapid succession of releases underscores the importance Salesforce is placing on this new technology.

The first AgentForce product, announced just days earlier, was the Einstein Service Agent. This AI-powered customer service solution is designed to handle a wide range of customer inquiries autonomously, with the ability to seamlessly escalate to human agents when necessary.

Ryan Nichols, Chief Product Officer of Service Cloud at Salesforce, described the vision behind these releases: “We’re delivering a future where human and digital workers join forces to transform the customer experience. These AI agents aren’t just completing jobs autonomously; they’re augmenting human workers and revolutionizing how teams operate, making them far more efficient and productive.”

Key Features of AgentForce

Based on the information available, AgentForce appears to offer several key capabilities:

  1. Autonomous Decision Making: AgentForce-powered AI agents can make decisions and take actions without constant human oversight.
  2. Multi-Modal Input Processing: These agents can understand and process various types of input, including text, images, audio, and video.
  3. Cross-Cloud Integration: AgentForce agents can operate across different Salesforce clouds, enabling them to handle complex tasks that span multiple business functions.
  4. Seamless Human Collaboration: When faced with complex issues, AgentForce agents can smoothly transition to human workers, ensuring a cohesive experience.
  5. Customization and Extensibility: AgentForce seems to offer low-code tools for customization, allowing businesses to tailor AI agents to their specific needs.

The Workday and Salesforce AI Partnership

The partnership between Salesforce and Workday centers around three key components:

AI Employee Service Agent

At the heart of this collaboration is a new AI employee service agent. Built on Salesforce’s AgentForce Platform and incorporating Einstein AI and Workday AI, this agent is designed to automate routine tasks, provide personalized support, and offer data-driven insights.

David Schmaier, President and Chief Product Officer at Salesforce, explained: “This AI employee service agent will be available 24/7 across multiple channels, adapting to each employee’s preferred communication method. It aims to reduce service costs, increase responsiveness, and ultimately improve the overall employee experience.”

The agent will handle various HR-related use cases, including:

  • Seamless onboarding processes
  • Health benefits management
  • Career development support

Unified Data Foundation

A crucial aspect of this partnership is the creation of a shared data foundation. This will unify HR and financial data from Workday with CRM data from Salesforce, enabling more comprehensive AI-powered use cases.

David Somers, Chief Product Officer at Workday, highlighted the significance of this integration: “We’re creating the industry’s first common data foundation, combining HR and financial data from Workday with CRM data from Salesforce. This unified approach will deliver unparalleled value for our joint customers.”

Enhanced Workday-Slack Integration

The partnership also includes an improved integration between Workday and Slack, Salesforce’s collaboration platform. This will allow for seamless access to Workday records and collaboration around HR-related tasks directly within Slack.

Key Features of the Partnership

Based on information provided, there are two key innovations offered by the new partnership.

Two-Way Street Data Integration

One of the most intriguing aspects of this partnership is the bidirectional nature of the data integration. When asked about this, David Somers confirmed: “The two-way data flow is indeed a key feature. It allows users to access and utilize data from both Salesforce and Workday systems, regardless of which application they’re using. This seamless integration across platforms is what makes our partnership truly unique in the market.”

This bidirectional integration has significant implications for Data Cloud users, enabling more comprehensive analytics and streamlined workflows that span both CRM and HR/finance domains.

Flexible AI Inference Options

Another noteworthy aspect of this partnership is the flexibility it offers in terms of AI development and inference. Customers will have the option to develop AI applications using Workday AI, Slack, or the Einstein 1 Platform, all while leveraging the unified data foundation provided by Salesforce’s Data Cloud.

David Schmaier elaborated on this approach: “We recognize that different customers have different needs and preferences when it comes to AI development. By offering this flexibility, we’re empowering our customers to choose the platform that best suits their specific use cases and expertise.”

This more open stance from Salesforce represents a significant shift in strategy, potentially setting a new standard for flexibility in enterprise AI development.

A Significant Deal

The Salesforce-Workday partnership marks a significant milestone in the enterprise software industry. As the first application-level zero-copy partnership for Salesforce’s Data Cloud, it paves the way for similar collaborations in the future.

David Schmaier commented on the potential impact: “We believe this partnership model, which deeply integrates best-of-breed enterprise applications while maintaining Data Cloud as the central data repository, could become a blueprint for future collaborations in our industry.”

While the announced capabilities and integrations are undoubtedly impressive, it’s important to maintain a degree of skepticism. As with any major partnership between industry giants, the true test will be in the successful implementation and adoption of these integrated solutions by customers.

Nevertheless, this collaboration between Salesforce and Workday represents a bold step towards a more interconnected, AI-driven future for enterprise software. It has the potential to significantly enhance employee experiences, streamline operations, and drive innovation across organizations. As this partnership unfolds, it will be crucial to monitor its impact on the broader enterprise software landscape and the evolving role of AI in business operations.

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