How to Assess AI Agents for Supply Chain Operations

SAP has announced expanded Joule Assistants and new Joule Agents for supply chain tasks, with general availability planned for Q4 2026. For supply chain and logistics leaders in Nigeria, the announcement brings a practical question forward: what would an agent need to know, connect to and be allowed to do in your operation? Assess the proposed workflow and its controls before accepting broad claims about autonomous supply chain management.

What SAP announced

According to SAP News Center, the new capabilities cover tasks across product design, planning, manufacturing, logistics, asset operations, and collaboration with suppliers and logistics partners. SAP says the assistants and agents are intended to help teams respond to issues and automate routine work while keeping people involved in informed decisions.

SAP describes examples such as helping planners examine exceptions and their downstream effects, helping logistics teams turn insight into action, and supporting the screening and simulation of maintenance requests. These are announced capabilities, not evidence that every task can be managed without human involvement. SAP says agents can trigger coordinated action when authorized.

Begin with one defined workflow

An agent proposal is easier to assess when it names a specific task, the signal that starts it, and the decision or handoff it is meant to support. Ask the proposer to show how the task connects to other parts of the supply chain. SAP News Center notes that planning can affect manufacturing, which in turn depends on product and asset readiness, suppliers and logistics partners. A recommendation that ignores those connections may not be useful beyond the immediate task.

Before considering a wider role, ask:

• What business problem or exception is the agent meant to address?
• Which processes and information does it need to interpret the situation?
• What happens when the information is incomplete or the issue crosses into another function?
• How will a person see the reason for the recommendation and decide what happens next?

Check the data, connections and permissions

SAP News Center says supply chain applications provide the business context, connected processes and controls agents need to act. That makes data and integration central questions, not technical details to leave until later. Map the information an agent would use, where it comes from, and how it relates to the process under review. Check whether the systems involved can pass the required information and whether the agent can work within the rules that govern the process.

Define permissions in plain terms. Which actions may the agent recommend? Which, if any, may it complete? Which actions require a person’s approval? SAP’s announcement says leaders need to understand what AI decided and why, define what it is authorized to complete, be able to intervene, and know who is accountable. Use those points as tests for any proposal, rather than assuming that automation itself provides adequate oversight.

Keep people responsible for consequential decisions

SAP presents agents as a way to support routine work and help people make informed decisions. That is different from handing over responsibility for supply chain management. For a growing business, a sensible next step is to select a contained workflow, agree the agent’s boundaries, and decide how recommendations and exceptions will be reviewed. Ask how the system will make its reasoning visible and how staff can intervene when the proposed action does not fit the situation.

SAP News Center reports that customer examples are putting the shift into practice, but those examples do not establish that the same approach will suit every business. Evaluate the proposed workflow against your own processes, information and approval needs. The decision is not simply whether to adopt an agent; it is whether a specific task is ready for AI support, and where a person must remain in control.