Overview:
TotalEnergies, a global energy company operating in nearly 120 countries, is advancing its digital transformation by integrating generative AI across its workforce and critical business functions. Partnering with Microsoft, the company deployed Microsoft 365 Copilot at scale issuing 30,000 licenses to employees to boost productivity, drive innovation, and cultivate an AI-native culture. Building on this foundation, TotalEnergies is now developing autonomous AI agents using Microsoft Copilot Studio that automate operational tasks and support decision-making in areas such as industrial maintenance and procurement.
AI is positioned as a strategic capability that augments frontline workers, improves process outcomes, and reinforces the company’s innovation agenda, with training and adoption support embedded into organizational processes.
Key Features:
Deploys generative AI tools (Microsoft 365 Copilot) broadly to enhance employee workflows and information retrieval.
Builds autonomous AI agents with Microsoft Copilot Studio to automate domain-specific tasks.
Analyzes and classifies operational data (e.g., maintenance intervention reports) to improve reliability and insights.
Streamlines procurement processes by guiding users through specifications, supplier identification, and compliance checks.
Supports workforce readiness through structured training, workshops, and community support.
Evaluates and governs AI applications through a validation committee focusing on value, architecture, and cybersecurity.
Results & Impact:
Strong adoption and recommendation: 70% of employees recommend Copilot, with 70% using it weekly and nearly half daily.
Improved maintenance accuracy: AI agent MARGE delivers a 25–45% improvement in identifying root causes of failures.
Procurement efficiency gains: BuyerCompanion is expected to reduce certain purchase costs by ~10%.
Broad agent development: Over 30 AI applications have been deployed or are in development, demonstrating expanding operational value.
AI Technology:
AI Model Types: Generative AI, Foundation models (via Copilot), Declarative autonomous agents.
AI Purpose: Automate workflow tasks, classify unstructured data, assist in decision-making, augment employees.
Application Type: Employee productivity, operational maintenance, procurement automation.
Target Users:
Frontline workers and operational technicians
Procurement and purchasing teams
Knowledge workers across business units
IT and digital transformation leaders
Sources:
https://www.microsoft.com/en/customers/story/25505-totalenergies-agents