Published : 30/01/2026 - 5 minutes read
Customer Success Stories
Mota-Engil: How Mota-Engil Automated its Delivery Slips Using SAP AI Agents
The Portuguese construction group deployed an Agentic AI solution to digitize the management of its delivery slips, with immediate gains in working time and data reliability.
On a construction site, a team’s time is precious. However, a significant portion of their day is still spent on repetitive administrative tasks. Paper delivery slips must be checked, information copied and manually entered into the management system. Mota-Engil, a Portuguese multinational specializing in engineering, construction, and mining, has managed to eliminate this bottleneck.
"This manual information must be entered correctly into SAP, which is a challenge in terms of balancing speed and reliability in digitization", summarized Filipe Morla, CEO Shared Services at Mota-Engil Global. Beyond the loss of time, these manual processes generate a cascade of bottlenecks: delays in payments to suppliers, inaccuracies in cost tracking, and difficulties in reporting.
To solve this problem, Mota-Engil turned to Inetum, a long-standing SAP partner. Together, they deployed a solution called Procure2Pay Agentic AI, developed on the SAP BTP cloud platform. “It is the cornerstone of all the processes we want to deploy for a customer”, explained Luis Gomes Silva, Head of SAP Innovation & GenAI at Inetum.
Using SAP Agentic AI, Mota-Engil automated delivery slip processing, reducing manual data entry while improving productivity and data accuracy.
AI Agents that Save Data Entry Time
In concrete terms, the solution uses SAP AI Core to access Artificial Intelligence models that are regularly updated by the software company, as well as Document AI to process unstructured information. The AI agent is able to automatically locate the construction site, extract data from a simple photo of a delivery slip taken by an employee and then match it with orders recorded in SAP. All without manual intervention.
The first results were not long in coming. “We can measure this on two levels”, explained Filipe Morla. “The first is working hours. This gives us time to focus on projects. The second level is data accuracy. We can make good decisions based on the information.”
This project, which originated as part of the SAP EMEA AI Challenge, illustrates a pragmatic approach to AI in business. “It's not the technology itself, it's its implementation that has a real impact”, insisted the Mota-Engil executive. This philosophy enables the group to pursue its main objective: improving profitability while modernizing its business processes.