Repsol and Accenture strengthen partnership to drive digital transformation with AI agents

Repsol has announced an expansion of its long-standing collaboration with Accenture to accelerate the integration of artificial intelligence (AI) into its operations. This strategic partnership focuses on deploying AI agent systems built on the NVIDIA AI platform, designed to streamline business processes, enhance operational efficiency, and support sustainability goals.

The adoption of generative AI technologies marks a pivotal moment in Repsol’s digital transformation strategy. It represents a significant evolution of the company’s Digital Programme, positioning Repsol as a frontrunner in leveraging advanced technologies within the global energy sector.

How is Repsol accelerating its digital transformation with AI agent systems?

Repsol’s partnership with Accenture is centred around the development and deployment of AI agent systems tailored to the company’s specific needs. These autonomous AI agents are designed to optimise business operations by automating complex workflows, improving decision-making processes, and enhancing productivity across all areas of the company.

The implementation of these technologies is built on the foundations laid by Repsol’s Generative AI Competence Centre, which has been operational for over two years. This centre has played a crucial role in researching and developing AI capabilities, providing the company with a deep understanding of how generative AI technologies can be harnessed to drive efficiency and innovation.

Repsol’s AI agents will be powered by Accenture’s AI Refinery platform, in combination with the NVIDIA AI platform, which includes NVIDIA accelerated computing and NVIDIA AI Enterprise software. This combination will enable Repsol to automate tasks such as planning, forecasting, application maintenance, and incident resolution, transforming traditionally time-consuming processes into agile, data-driven workflows.

What impact will AI agents have on Repsol’s operations?

The introduction of AI agent systems is expected to deliver transformative benefits for Repsol’s operations. By automating routine tasks and optimising resource allocation, Repsol aims to achieve significant improvements in efficiency, cost reduction, and employee productivity.

Moreover, Repsol will explore the potential of AI agents to support digital twin and robotic solutions through the use of NVIDIA Omniverse. Digital twins—virtual replicas of physical assets—can enhance maintenance operations, predict equipment failures, and reduce downtime in Repsol’s industrial and logistics centres. This capability not only improves operational performance but also enhances workplace safety by minimising human exposure to hazardous environments.

Repsol’s Chief Executive Officer, Josu Jon Imaz, emphasised the importance of this technological shift, stating that the company aspires to be a pioneer in the energy sector’s digital landscape. He noted that the introduction of AI agents aligns with Repsol’s broader objective of transforming its business model through digitalisation and innovation.

How will Repsol’s AI strategy enhance customer experiences?

Beyond internal efficiencies, Repsol’s AI strategy aims to improve customer experiences by leveraging data-driven insights. The deployment of AI agents will enable Repsol to deliver more personalised services, tailor-made offers, and faster response times, strengthening its customer relationships.

By analysing large volumes of customer data in real time, AI agents can identify patterns and preferences, allowing Repsol to anticipate customer needs with greater accuracy. This capability supports the company’s commitment to enhancing customer satisfaction while maintaining a competitive edge in an increasingly digital marketplace.

Julie Sweet, Chair and Chief Executive Officer of Accenture, highlighted the transformative potential of AI in customer engagement. She stated that accelerating the use of AI agents would not only boost operational efficiency but also enable Repsol to offer more meaningful, personalised experiences to its customers.

What role does AI play in Repsol’s sustainability goals?

Repsol’s digital transformation is closely linked to its sustainability objectives, particularly its ambition to achieve net-zero emissions by 2050. The adoption of AI technologies supports this goal by optimising energy consumption, reducing operational waste, and improving the efficiency of decarbonisation initiatives.

AI agents can analyse environmental data to identify opportunities for energy savings and emissions reduction. For example, predictive analytics can help optimise the performance of renewable energy assets, while AI-driven process automation reduces the carbon footprint associated with traditional manual workflows.

Through its partnership with Accenture, Repsol aims to harness the power of AI to create more sustainable business practices, contributing to the global effort to combat climate change.

How is Repsol preparing its workforce for the AI-driven future?

Recognising that technology adoption requires a skilled workforce, Repsol is expanding its employee training programmes as part of its AI strategy. The company, with support from Accenture, will develop comprehensive training initiatives to ensure that its employees are equipped to work effectively with new AI tools and systems.

These programmes will focus on upskilling employees in areas such as data analytics, AI literacy, and digital process management. By fostering a culture of continuous learning, Repsol aims to empower its workforce to embrace technological change and contribute to the company’s digital transformation journey.

Josu Jon Imaz highlighted the importance of workforce readiness, stating that Repsol’s success in adopting AI technologies would depend on its ability to integrate human expertise with advanced digital tools.

What does this mean for the future of AI in the energy sector?

Repsol’s collaboration with Accenture signals a broader trend in the energy sector towards digital transformation and AI adoption. As energy companies face increasing pressure to improve efficiency, reduce costs, and meet sustainability targets, AI technologies are becoming critical enablers of innovation and growth.

The use of AI agent systems, digital twins, and predictive analytics represents a shift from traditional operational models to more agile, data-driven approaches. Companies like Repsol are at the forefront of this transformation, demonstrating how technology can be leveraged to address complex challenges and create new opportunities in the energy landscape.

As Repsol continues to evolve its digital capabilities, its partnership with Accenture serves as a model for how strategic collaborations can drive meaningful change, both within organisations and across industries.