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.
- Organization
- Repsol
- Industry
- Professional Services
- Location
- Spain
- Published
- November 2024
Reported outcomes
−40%
costCost savings
Strategic outcomes
Primary read
Use case focus
Showing 3 of 4
- 1Enterprise Copilot deployment and transformation
- 2Procure-to-pay agent automation
- 3Supplier risk and discovery agent
- Organizations face complexity scaling AI and agentic workflows across diverse business areas.
- Clients need tailored, responsible, and secure AI deployment integrated with proprietary data.
- Maximum AI benefit requires both generic and industry-specific Copilots/agents and integration skills.
- Many enterprises struggle with change adoption and upskilling for generative AI capabilities.
- Launched Copilot business transformation practice with 5,000 professionals from Accenture and Avanade, supported by Microsoft.
- Custom and industry Copilots and agents developed for supply chain, finance, manufacturing, healthcare, and retail.
- Implemented Microsoft 365 Copilot for Repsol, driving substantial documented productivity and workflow improvements.
- Copilot Studio used to extend foundational Copilots with client-specific data and processes.
- Created Azure Generative AI Engineer Nanodegree for upskilling, and developed innovation labs for rapid pilots.
- Repsol: 121 minutes weekly time savings per employee, 16% quality improvement, strong user approval rates.
- Supply chain agents deliver up to 15% cost reduction; procure-to-pay agents provide up to 40% efficiency gains.
- Upskilled 50,000+ employees; broad AI adoption across functions/industries.
- Positive user feedback and improved confidence and motivation in AI-augmented workflows.
Sources & evidence2
AI-generated summary. Verify important details with the linked sources before relying on this case.
Explore related AI use cases
Was this useful?
Community
Comments
Loading comments...