SAP Adds Joule Agents to Supply Chain Assistants to Push Autonomy

From analysis to action in the supply chain

The announcement was made at SAP Connect in 2026 and described in a feature by Devesh Mishra, general manager and chief product officer for SAP Supply Chain Management. His argument is that supply chain teams do not lack decisions, but time, and that the next phase of supply chain AI has to move beyond analysis and help organizations turn insights into action.

Mishra frames the problem as decision velocity: how quickly an organization can recognize change and coordinate the right response based on relevant business context. Supply chain decisions are interconnected, he writes. Planning affects manufacturing, which depends on product and asset readiness, suppliers and logistics partners. In his words, AI can automate individual tasks, but isolated intelligence only creates isolated value.

SAP says supply chain applications supply what agents need to act: business context, connected processes and controls.

What the six assistants will do

SAP is expanding the six Joule Assistants it introduced earlier at SAP Sapphire and adding specialized Joule Agents. The company describes the planned capabilities as follows:

• Product Design Assistant: interprets product designs, recipes and specifications and orchestrates compliant product changes, which SAP says should help accelerate time to market.
• Supply Chain Planning Assistant: helps planners sense, simulate and resolve exceptions in a single workspace and understand downstream impacts of disruptions.
• Manufacturing Assistant: helps teams respond to plant-floor disruptions as they happen.
• Logistics Assistant: new capabilities span warehousing, outbound optimization, fulfillment and transportation dispatching.
• Asset Operations Assistant: new agentic capabilities support the initiation, screening and simulation of maintenance requests, based on equipment and maintenance signals.
• Business Network Assistant: improves collaboration with suppliers and logistics partners in areas such as sourcing, contracting and exception handling.

According to SAP, what connects these scenarios is that agents operate within the business context that already governs the supply chain. An insight in one area can inform the next and, when authorized, trigger coordinated action.

Customer examples: Takeda and Doehler

SAP cites two customers. Takeda Pharmaceuticals will use the Supply Chain Planning Assistant to help pinpoint likely causes behind planning issues and propose corrective steps. Rebecca Kaufmann, senior vice president and head of Enterprise Platforms at Takeda, said the assistant "will provide us with AI-detected root causes and AI-suggested remediation and also automated performance tracking resulting in a self-healing capability."

Doehler, a global producer of natural ingredients for the food, beverage, life sciences and nutrition industries, is applying AI to logistics issue resolution. Stephan Schissler, CIO at Doehler GmbH, said the Logistics Issue Resolution Agent "detects the root cause, recommends the resolution, and turns a multi-hour firefight into a one-click decision." He added that the logistics team has recovered roughly a third of the time once lost to troubleshooting. These results are customer statements published by SAP.

Trust and what it means for supply chain teams

Mishra stresses that trust must be built into how the AI operates. Leaders need to understand what the AI decided and why, define what it is authorized to complete, intervene when necessary and know who is accountable. SAP grounds the Joule Assistants and their agents in the processes and data of the SAP Supply Chain Management portfolio.

For supply chain leaders, SAP says the goal is less time spent on routine work and exception handling, faster responses when conditions change, and more time for strategic decisions. Since general availability is planned for Q4 2026, the capabilities are described as upcoming, and Takeda's use of the planning assistant is also stated in the future tense.