Welcome to the forefront of conversational AI as we explore the fascinating world of AI chatbots in our dedicated blog series. Discover the latest advancements, applications, and strategies that propel the evolution of chatbot technology. From enhancing customer interactions to streamlining business processes, these articles delve into the innovative ways artificial intelligence is shaping the landscape of automated conversational agents. Whether you’re a business owner, developer, or simply intrigued by the future of interactive technology, join us on this journey to unravel the transformative power and endless possibilities of AI chatbots.
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SAP predicts that AI agents could support up to 80% of the most-used business tasks in SAP. 1 We evaluated SAP’s AI agent portfolio, related case studies, and supporting infrastructure and identified three shifts shaping SAP’s AI agent strategy:
The table shows some other enterprise AI agent builder providers that can be an alternative to SAP AI agent Joule:
Explore these SAP AI agents capabilities and real-life use cases:
SAP AI Agents, powered by the Joule AI copilot framework, act as domain experts across finance, HR, supply chain, and IT.
These agents are built on SAP’s Business Technology Platform (BTP) to autonomously manage multi-step business workflows and make data-driven decisions using context from SAP’s Knowledge Graph.
SAP AI agent refers to SAP AI Copilot, autonomous AI agent capabilities under SAP Joule Studio that can streamline operations and deliver business insights. Here is how AI agents in SAP have been integrated:
With SAP integration suite, these agents connect across different systems, ensuring efficient workflow automation. Some of the SAP products that Joule, SAP AI agents, is embedded into:
As of late 2025, SAP reports having more than 400 AI-driven use cases embedded across its applications. For example, a new Receipt Analysis Agent in Concur Expense can automatically fill in missing expense details from receipt images.
Joule also operates across third-party applications, providing contextual assistance directly within users’ workflows. Its cross-application presence enables consistent, AI-driven support and improves overall employee productivity.
SAP is rolling out an AI Agent Hub within SAP LeanIX, allowing organizations to monitor, govern, and manage their portfolio of AI agents from a central dashboard. The hub will serve as a system of record for all agents, like SAP’s, custom-built ones, or even third-party implementations, and help ensure transparency across deployments.
The hub will also support recommendations of agent deployment (via its connection to process mining and architecture tools) and provide executive-level visibility into agent ROI and usage patterns.
Without AI agents, Joule Studio could handle isolated tasks, such as retrieving data, extracting insights, and answering employee queries. With the introduction of collaborative AI agents specialized in distinct business functions, Joule can execute end-to-end processes, integrating actions across SAP systems and departments.
By linking actions across departments, Joule enables connected, cross-enterprise outcomes. This coordination allows business processes in finance, procurement, and supply chain to deliver measurable results together rather than in isolation.
For instance, resolving a payment dispute might involve multi-agent teamwork, such as collections, invoicing, and customer support agents working together.
At NRF 2026, SAP announced a Storefront Model Context Protocol (MCP) server for SAP Commerce Cloud (planned for Q2 2026). The MCP server allows AI agents to discover products and execute transactions autonomously, without traditional storefront interfaces.
supports emerging agent standards such as MCP and aligns with SAP’s work on an Agent-to-Agent (A2A) interoperability protocol. These servers also align with SAP’s Agent-to-Agent (A2A) interoperability. A2A enables Joule agents to collaborate with other SAP agents and third-party agents within standardized workflows.
Together, MCP and A2A signal SAP’s shift toward cross-agent, cross-vendor execution, where enterprise workflows are no longer confined to single assistants or closed ecosystems.
Joule integrates with Microsoft 365 Copilot, allowing users to access shared skills and data across both ecosystems. This interoperability supports collaboration between enterprise AI platforms.
For example, a procurement agent might consult a logistics agent directly, or a finance agent might reach out to a forecasting agent, depending on the context. This design moves agent ecosystems toward a more connected, composable architecture.
Instead of a single generalist agent, multi-agent networks divide tasks into specialized roles. Each AI agent specializes in a specific business function, enabling expertise-driven automation and collaboration across domains such as finance, supply chain, and service management.
SAP has been rapidly expanding its library of specialized Joule agents. At SAP Connect 2025, the company unveiled 14 new Joule Agents spanning finance, HR, procurement, supply chain, and industry-specific scenarios. Each agent is essentially a subject-matter expert. For example:
By dividing work among such specialists, SAP’s multi-agent ecosystem can handle intricate end-to-end processes with expert precision in each area.
AI agents are designed to work autonomously but operate within a framework where humans remain in control. SAP AI Copilot acts as a “conductor,” orchestrating the collaboration between SAP AI agents, while humans provide guidance as “composers” by defining tasks and objectives.
Despite human intervention is essential at this point, SAP envisions an era of autonomous enterprises where:
The SAP Knowledge Graph serves as the foundation for Joule’s advanced capabilities. With this capability, Joule provides insights at scale through natural language queries. Employees can access analytics and contextual data instantly, enabling faster, evidence-based decisions across functions.
SAP AI agents can function both in interactive applications and in the background, handling routine tasks or responding to real-time events. Below are hypothetical use cases demonstrating the potential of Joule and its collaborative AI agents:
SAP AI agents can handle incorrect/missing invoices, unapplied credits, duplicate/denied payments, and dispute resolution. For example, Joule can detect a payment dispute, such as a duplicate payment or an invoice mismatch, through automated monitoring of financial data. Then, the agent can automatically:
Additional AI agent-driven workflows will be introduced to the supply chain portfolio by March 2025, further demonstrating the versatility of these agents.
SAP AI agents are planned to be applied in retail workflows. Some of these include:
Here are some SAP Joule case studies gathered from SAP blogs9 , websites and third-party sources10
Many large enterprises operate on heavily customized SAP environments, with on-premise deployments, tailored modules, and numerous add-ons. These complex setups often limit the effectiveness of SAP’s native AI agents, creating demand for third-party AI solutions that can bridge the gap.
Several independent providers now develop and deliver AI agents designed to integrate with customized SAP systems, improving automation, transparency, and decision-making across functions:
There are also other tech giants that employ AI agents, like Oracle AI agents.
Yes, SAP offers multiple AI tools integrated into its ecosystem, such as:
Discover more on SAP Business AI applications, like SAP BTP Generative AI. SAP BTP automation can integrate these LLMs into other SAP-certified tools and apps (e.g Redwood and SAP), such as:
SAP AI agents leverage AI capabilities like natural language processing, machine learning, and multi-agent systems to execute workflows, analyze data, and improve business processes.
SAP’s generative AI ecosystem, including tools like Joule, allows users to develop custom AI agents for specific roles. These agents can communicate naturally, design workflows, use software tools, and collaborate with humans or other agents. Their applications in SAP include procurement optimization, process automation, and integration with internal systems for tailored solutions.
Explore more on SAP related technologies, such as:
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