Energy & Utilities

Agentic AI trained on upstream workflows automates seismic analysis, geological modeling, and real-time process monitoring across ADNOC operations.

Multi-agent, LLM-based production-engineering assistant with an orchestration agent selecting specialized agents and physics-based models to answer well/field production queries.

Advanced analytics and machine learning applied since 2020 to the copper concentrate production chain at Chuquicamata, processing mineral-characteristics data so engineers can tune the process in near real time; Microsoft and Huawei agreements extend the program.

Serves as the utility's virtual employee, answering customer inquiries and handling procedural services like bill payment in Arabic and English, upgraded with generative AI.

Internal generative-AI assistant supports employees with research, market analysis, document generation, and energy-domain questions.

An AI agent answers customer questions about billing, clean energy, smart meters and EV charging in the ENGIE app and resolves cases autonomously.

Agentic, software-defined automation with orchestrated AI agents running autonomous high-temperature solid-oxide electrolysis for green hydrogen production.

Generative-AI virtual agents in telephone and digital channels resolve customer interactions such as inspection appointments and meter-reading access for the gas distributor.

AI email assistant built with Kraken that answers straightforward customer emails about tariff renewals, payment dates and account details, with every AI-written reply labelled and human escalation on demand.

Peggy, a generative AI voice assistant, greets and assists customers on outage and service lines, handling millions of calls a year including sensitive gas-leak topics.

Generative AI workbench on Azure OpenAI supporting more than 100,000 workers across exploration and production, reservoirs and wells, and administrative functions.

AI applied to oil reservoir modeling in exploration and production workflows, reported to cut one modeling stage by 80 percent as part of the company's AI-accelerated reservoir programs.

Acts as an internal industrial advisor trained on 90 years of company data, supporting predictive maintenance, process optimization and decision-making across operations.

AI-powered virtual agents and chatbots handle routine service questions, billing inquiries, and outage reports for the electric cooperative's members.

AI used for years across exploration and production to forecast and refine output at oil and gas fields, improve predictive maintenance and detect equipment anomalies, industrialized through the company's Digital Factory and its roughly 300 AI and digital experts.

A company-wide AI-enablement program letting teams build their own custom AI agents on Agentspace.