3 minute read
Meet the Experts
Key Takeaways
-
Organizations are struggling to advance AI from proof-of-concept to practical implementation, highlighting a demand for less technical solutions to facilitate AI adoption.
-
The updates to SAP Automation Pilot enable low-code/no-code development of Model Context Protocol servers, simplifying the integration of AI with existing systems and enhancing automation capabilities.
-
Leveraging natural language tools such as Smart Search and the Expression Generation Assistant allows users to accelerate the design and testing of AI-driven automation scenarios without requiring in-depth technical skills.
Automating increasingly complex processes with AI is becoming an essential transformational piece for many organizations that are striving to become more efficient and give their employees the capacity to do more. However, SAPinsider research on AI adoption and maturity shows that many organizations are struggling to move AI beyond the proof-of-concept and pilot stages. Our Tech Leader’s Transformation Report Card also painted the picture that the most advanced digital organizations are struggling to staff those with the necessary AI skills to innovate.
That puts the impetus on technology providers like SAP to provide tools that require less technical knowledge to get AI and automation off the ground.
Simplifying AI-Powered Automation Development
Explore related questions
To that end, SAP Automation Pilot received updates in the last half of 2025 that aim to both simplify the path to building AI and automation and to utilize AI to streamline the development of automation capabilities.
One of the update highlights is that SAP Automation Pilot now enables the low-code/no-code creation of Model Context Protocol (MCP) servers. These MCP servers follow an open-source framework that allows AI to integrate with external systems and data sources. This enables users to expose commands and workflows built in SAP Automation Pilot for consumption by AI Agents, notably Joule Studio-built agents. Joule Studio is SAP’s AI Agent Builder, which just hit general availability.
In allowing for low-code and no-code MCP server creation, SAP is ultimately giving customers an easier path to a secure, policy-driven way for agents to do tasks such as triggering automations, retrieving system state, and performing remediation.
On the side of building those commands and workflows, GenAI capabilities are being added to Smart Search, allowing natural language prompts to find the best commands and inputs to create the automation scenario they desire. Natural language prompting also extends to automated testing, as it can be done in SAP’s Expression Generation Assistant, a tool for testing, designing, and debugging code with sample data before it is used in commands.
What This Means for SAPinsiders
For SAPinsiders, AI is becoming not only a tool for automation but a tool for building automations. To embrace this shift, consider the following actions:
Lean into low-code AI automation to overcome skills gaps. SAPinsiders can use SAP Automation Pilot’s low-code and no-code MCP server capabilities to expose secure, policy-driven commands and workflows to Joule Studio agents without needing deep engineering expertise.
Use natural language to accelerate design, testing, and rollout. By leveraging generative AI in Smart Search and the Expression Generation Assistant, teams can describe scenarios in plain language to quickly find the right commands, build automations, and test them with sample data before production.
Make agentic AI a practical extension of existing operations. Connecting Automation Pilot workflows to Joule Studio-built agents gives organizations a realistic way to move beyond pilots, allowing AI agents to safely trigger automations, check system state, and perform remediation as part of everyday operations
More Resources
See All Related Content
From Automation to Agentic AI: Why Process Orchestration Is the Missing LinkCamunda's latest report emphasizes the importance of process orchestration to effectively integrate AI agents, workflows, and automation within business processes, highlighting six execution models that allow enterprises to balance compliance, control, and AI autonomy in increasingly complex operational landscapes.
How UiPath’s CIO Reframed SAP Transformation: Five Lessons From ‘Customer Zero’UiPath ran its SAP S/4HANA migration as a Customer Zero initiative, embedding automation directly into execution rather than layering it on after go-live. The experience reshaped clean-core discipline, operating models, and readiness for agentic workflows under live finance conditions.
3 minute read
AI’s Role in SAP Automation, Now and In The FutureAI is poised to significantly influence SAP automation by enhancing efficiency and transforming workflows, with current usage predominantly assistive and experimental, but organizations that integrate AI into core processes are already seeing substantial improvements in performance and decision-making.
5 minute read
