Introducing Joule Studio

Joule Studio is SAP's unified, AI-first development environment for creating agents, applications, and workflows.

It enables organizations to develop AI-powered solutions that address specific business requirements while incorporating enterprise data, processes, and architecture.

Joule Studio combines AI-assisted development with SAP business context, flexible development tools, and enterprise governance. This helps organizations move from initial business ideas to agentic solutions that can be deployed, managed, and improved over time.

In the Joule ecosystem, Joule Work is where business users interact with AI-powered capabilities, while Joule Studio is where developers build and extend them.

The components have different roles:

Joule is SAP's overarching AI brand and brings together AI-powered capabilities across the SAP portfolio.

Joule Work provides a user-facing workspace where business users can interact with AI-powered capabilities through natural language.

Joule Assistants use business- and role-specific context to coordinate Joule Agents and support complex business processes.

Joule Agents perform specialized tasks within business workflows.

Joule Studio provides the development environment for creating custom agents and extending SAP-delivered agents.

Organizations are increasingly adopting AI to move toward more autonomous business operations.

This represents a shift from reactive actions to proactive decision-making, from fixed workflows to context-aware execution, and from isolated automation to collaboration across business processes.

However, AI agents operating in enterprise environments must meet higher expectations than general-purpose AI applications.

Even strong language model performance does not automatically guarantee accurate business decisions, reliable execution, or compliance with organizational policies.

This creates a trust gap between the capabilities of AI models and the requirements of business-critical processes.

Organizations therefore need trusted agentic solutions that can understand business context, operate reliably, and remain subject to appropriate governance.

Trusted agentic solutions are built on three principles: Context, Open and Enterprise Grade, and Governance.

These principles address different requirements that must be considered when developing AI solutions for enterprise environments.

AI agents need a clear understanding of the business problems they are intended to solve.

This includes business objectives, domain knowledge, enterprise data, application relationships, and business processes.

Grounding agents in this context helps them interpret information and make decisions that reflect how an organization operates.

Agentic solutions must integrate with existing enterprise architectures and operate reliably under different conditions.

They should follow established standards, support extensible architectures, and undergo comprehensive validation.

Testing must consider not only expected results but also exceptions, edge cases, and unexpected situations.

Agentic solutions must comply with enterprise policies, authorizations, and security requirements.

Governance includes identity and access controls, secure execution, and the ability to trace agent decisions and actions.

It also helps organizations understand operational performance, cost, and the business value delivered by AI agents.

Together, these three principles provide the foundation for trusted agentic solutions.

Joule Studio supports a connected approach to developing and operating trusted agentic solutions.

The process starts by understanding the business need and identifying the problem that should be solved.

Relevant business, process, and architecture context can then be incorporated to help ensure that the proposed solution fits the organization's environment.

Joule Studio supports composing and orchestrating agents, applications, and workflows into solutions that address the defined business requirements.

Developers can work with preferred tools and open standards while reviewing and refining the generated implementation.

Once validated, solutions can be deployed to a managed environment designed for secure execution.

Governance and observability support ongoing operations by providing visibility into agent behavior, performance, and opportunities for improvement.

Joule Studio provides capabilities that help organizations apply these principles throughout the development lifecycle.

Rather than focusing exclusively on code generation, it supports identifying appropriate business opportunities, defining requirements, developing solutions, and managing their execution.

Joule Studio helps identify valuable agent opportunities using business process analysis and potential business impact. It also supports refining requirements through clarification questions that consider the enterprise landscape.

SAP domain models help interpret application objects, data structures, and transaction logic. Reference architectures, integrations, and templates provide established patterns that can guide implementation.

Joule Studio also supports developing agents, applications, and workflows together within a unified solution.

Business users and developers can collaborate using supported web-based development experiences, integrated development environments, or command-line tools.

For operational use, Joule Studio supports secure execution using enterprise context and access controls, together with governance, observability, and lifecycle management.

Joule Studio supports the development of AI solutions grounded in an organization's business environment.

Instead of relying solely on general-purpose AI knowledge, the development process can incorporate information about enterprise applications, business objects, processes, and architecture.

Business context helps ensure that generated solutions are relevant to the organization's systems and processes. It also supports validation against business facts, enterprise architecture, and compliance requirements.

Different SAP technologies contribute information that can help ground agentic solutions in enterprise requirements.

SAP LeanIX provides information about enterprise architecture, including applications, dependencies, and the technology landscape. This helps development teams understand how a solution fits into existing systems.

SAP Signavio provides process intelligence, including insights into business process performance, bottlenecks, and opportunities for improvement. This helps align agentic solutions with actual business workflows.

The SAP Knowledge Graph and SAP domain models provide information about business objects, data structures, and relationships. This helps AI-generated solutions reflect SAP application semantics.

SAP development guidelines, architectural principles, and established patterns help teams design solutions that align with enterprise requirements, security considerations, and compliance standards.

Joule Studio supports flexible development approaches so teams can use tools and methods that suit their requirements.

With Intent-Based Development, business users and developers can start by describing a desired business outcome in natural language.

Joule Studio helps transform this description into structured requirements, technical specifications, and implementation artifacts.

Developers can then review and refine the generated results using low-code or pro-code approaches.

Joule Studio also supports an open ecosystem of development tools, allowing developers to continue working in familiar environments instead of relying on a single development method.

Building an agentic solution is only one part of its lifecycle. Organizations must also be able to operate it securely, monitor its performance, and manage its behavior.

Joule Studio addresses these requirements through an SAP-managed runtime environment and enterprise governance capabilities.

The SAP-managed runtime provides an environment for executing agents, applications, and workflows.

It supports integration with business applications, tools, and services while providing a foundation for secure execution and enterprise scalability.

The runtime is designed to support enterprise identity, security, compliance, and operational controls.

The runtime architecture presented here also highlights NVIDIA OpenShell in connection with secure isolation and enterprise scale.

Trusted agentic solutions require governance throughout their lifecycle, not only after deployment.

Governance capabilities support the discovery and management of agents, large language models, and MCP servers across the enterprise landscape.

The governance approach illustrated here includes risk-based production approval, with each agent assigned a responsible owner.

Monitoring and evaluation help organizations review agent performance, investigate behavior, measure business value, and identify opportunities for improvement.

Observability and lifecycle management provide additional visibility and control as agentic solutions are operated and improved over time.