Our Quality and Environment Department, together with the IT Department, has developed an artificial intelligence solution that automates and optimizes the recording of energy consumption in our projects.
AI OCR Electricity automates the reading and processing of electricity bills, automatically capturing the data needed to calculate our carbon footprint.
Integrated into our CYMAE application, the tool is now available for use across all projects and countries, improving efficiency, traceability, and data quality. Since the launch of AI OCR Electricity, we have been monitoring the entire process, achieving 96% accuracy in data extraction and recording.
Its launch addresses one of the challenges identified in our 2024–2027 Strategic Plan: having reliable and traceable information on energy consumption and associated greenhouse gas (GHG) emissions, facilitating more efficient, data-driven management.
Key Benefits of “AI OCR Electricity”
The in-house development of AI OCR Electricity generates direct benefits for Sacyr, improving operational efficiency, data quality, and our scalability. Among its main advantages, we highlight:
1. Financial Return and Operational Efficiency
• Rapid return on investment, with an estimated payback period of less than two years.
• Reduced costs and processing times thanks to the automation of invoice processing.
• Greater technological autonomy, reducing dependence on external solutions.
• Fostering internal talent, strengthening our capabilities in artificial intelligence and digitalization.
2. Data Quality and Internationalization
• Greater accuracy and traceability of information, facilitating reporting and audit processes.
• International scalability, allowing for agile deployment in any project or country without additional costs.
• Generating cross-functional knowledge, with insights already being applied to new features and use cases within the organization.
With this launch, we are optimizing daily processes and demonstrating how internal innovation and digitalization are key drivers for moving toward a more efficient and environmentally friendly business model.
