Repsol

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Repsol has 2 source-linked AI deployments documented in AIUseCaseHub, across 2 industries and 1 country. Key partners include Accenture, Avanade.

Use Cases

2

Industries

2

Countries

1

Hyperscaler mix

See whether Repsol's cases are powered by Microsoft, AWS, GCP, or multiple providers.

How Repsol builds AI

Build / Buy / Compose across this company's documented cases

BuildBuyComposeMixed

2 of 2 cases classified (100%) · Compare all use-case types

Use case portfolio

Use case types at Repsol

Energy optimization leads with 1 of 2 documented cases; 2 distinct types appear across the visible portfolio.

Reported outcomes

2 cases report measurable results

−27.5%

Cost savings

median · 2 metrics

−16%

Time & speed

median · 1 metric

+100%

Productivity & throughput

median · 1 metric

Medians of results published in Repsol cases, normalized for comparability. See all benchmarks →

Evidence persistence

1 of 1 judgeable case is still publicly referenced · 1 show the organization expanding AI use.

Durability of public evidence, not whether systems remain in production. How this is measured →

Technology snapshot

What Repsol uses across visible cases

AI Agents appears in 1 of 2 indexed cases; 10 named technologies are mentioned, led by Azure AI.

All Use Cases (2)

Microsoft

Repsol increases productivity with AI-powered business process transformation

Accenture and Avanade, in partnership with Microsoft, have launched a Copilot business transformation practice, engaging 5,000 professionals to help enterprises implement generative and agentic AI across functions and industries. Their dedicated team develops Copilot and custom agent solutions leveraging Microsoft 365 Copilot, Azure OpenAI, and Copilot Studio.For clients like Repsol, a global energy company, this practice supported the deployment of Microsoft 365 Copilot, yielding measurable productivity and quality gains. A four-month study found employees saved an average of 121 minutes weekly, improved workflow quality by 16%, with significant favorability in AI-augmented tasks. Maintenance and engineering roles saw substantial annualized time savings.Industry and functional Copilots address areas including supply chain, finance, manufacturing, healthcare, retail, and consumer goods. Functional agents such as supplier risk and procure-to-pay agents deliver real-time market insights, up to 15% supply chain cost reductions, and up to 40% efficiency improvements in procure-to-pay processes.Accenture and Avanade provide custom Copilots using Copilot Studio, allowing clients to leverage proprietary knowledge for automated, responsible, and auditable workflows. For the retailer Bricorama, the team built a custom home improvement Copilot leveraging Azure OpenAI for customer project guidance.The practice also delivers upskilling through Azure Generative AI Engineer Nanodegree, and accelerates client digital transformation with AI innovation labs and pilots. Overall, the approach supports broad, pragmatic adoption of AI agents and Copilots to reinvent business processes.

AgentMulti-agentCopilotFine-tuningFabric

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