The productivity boost from AI assistants is real. A controller who can summarise variance reports in seconds, a procurement manager who can draft supplier communications without switching tabs. But these individual wins stall at the team boundary. The finance analyst’s AI-generated insight sits in a shared drive. The sales forecast gets emailed around and edited by hand. The time saved by one person gets absorbed by coordination overhead elsewhere.
SAP’s latest thinking frames this as an architecture problem, and they are right. Companies that treat AI as a personal productivity tool will hit a ceiling. The ones pulling ahead are building AI into their cross-functional processes: automated handoffs between procurement and finance, real-time consolidation that does not wait for month-end, supplier risk signals that flow straight into sourcing decisions without a human relay.
A Munich manufacturer revised a job specification mid-search last quarter to add workflow automation as a core requirement. That revision came after their pilot AI deployment delivered individual gains but no measurable impact on their close cycle. They had assumed their existing SAP team could handle the integration work. They could not, because integration at this level requires someone who can map how data should move across departments, sequence the dependencies, and configure the handoffs in S/4HANA.
That skill pairing, deep SAP configuration knowledge combined with cross-functional process design, now appears in senior role specifications across our Data & Digital and SAP searches. The candidates who demonstrate both in conversation move to shortlist faster. Companies are starting to staff for that translation layer, and the talent pool is thinner than most hiring managers expect.
Prompted by reporting from SAP News Centre.