AI Support Needs a Performance Owner, Not Just a Portfolio Refresh

Before approving support for AI-enabled work, a leader needs to know who owns the change in capability and performance. SAP's latest portfolio update raises that operating question. It does not show that a new support model is already improving enterprise results.

SAP News Center published an article on September 10 describing updates to SAP Services and Support. The article connects those changes with embedding AI in enterprise workflows and achieving measurable impact. That establishes SAP's stated direction and its investment case. It does not establish customer adoption, implementation quality, improved employee capability, or business performance beyond SAP's claims.

Start with the work that is changing. An AI-enabled service workflow may alter the judgment employees need to apply, the points at which they escalate, the process knowledge they use, and the decisions they are allowed to make. The problem may therefore sit in the workflow or in decision rights rather than in a lack of training. The accountable owner needs to name the task, the result that should improve, the constraint blocking performance, the support required during use, and the evidence that would show progress. More learning activity will not resolve unclear authority, poor workflow design, or a missing manager routine.

I would test any support investment against one real workflow and a measurable result. The next question is whether the barrier is capability, access to guidance, system usability, manager reinforcement, or an unsettled decision right. L&D can then determine what learning or performance support belongs in the solution. For organizations that adopt SAP's model, this also keeps a supported claim about service availability separate from demonstrated changes in time to proficiency, manager load, productivity, or risk.

SAP's announcement may describe an early direction before customer evidence is public. The absence of published outcome data does not show that the model will fail, but it is not enough to approve the investment. The evidence threshold is independent customer proof of where the model was implemented, which work and roles changed, how employees were supported, and whether performance improved against a credible baseline.