Using Copilot in Energy and Resources

The energy industry faces numerous challenges, including managing fluctuating demand, maintaining aging infrastructure, and integrating renewables. Energy organizations look for opportunities to enhance efficiency, reduce operational costs, and improve safety and environmental sustainability while ensuring regulatory compliance.

Motor Oil Group is achieving remarkable efficiency gains by integrating Microsoft 365 Copilot into its workflows, with staff spending minutes on tasks that used to take weeks.

Uniper SE implemented Microsoft 365 Copilot to reduce time spent on manual and repetitive tasks and help workers focus on more pressing work, such as developing enhanced solutions to speed up the energy transition.

Download the Energy and Resources scenarios kit
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Microsoft Copilot opportunity to impact key functional area KPIs

Review our KPI overviews and view additional scenario details.

Market development

Support the development of new energy products and markets by analyzing market trends and optimizing business strategies.

Increase employee satisfaction

Energy workers leverage Microsoft’s Copilot to streamline operations, enhance efficiency, and deliver exceptional service, ensuring employee satisfaction.

Revenue generation

Increase revenue generation by optimizing trading decisions and accelerating licensing and permitting process for capital projects, thereby maximizing financial returns.

Safety and Compliance

Enhance safety protocols by analyzing incident reports and real-time data. Ensure compliance with regulatory standards by generating accurate and timely reports.

Operational Efficiency

Use Copilot to lower operational costs by automating routine tasks and improving workflows and scheduling. Utilize AI-driven insights to maintain the highest standards of process excellence.

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Transform Energy and Resources processes

Key processes Before AI Using AI
Capital project developmentAI can streamline capital project development in energy and resource organizations by analyzing large datasets to identify optimal project sites and resource allocation. It can also forecast project costs and timelines with high accuracy, aiding in better planning and budgeting. Additionally, AI can simulate various scenarios to assess risks and develop mitigation strategies. Overall, AI enhances decision-making, efficiency, and risk management in capital projects.

Simplify and expedite the permitting process for renewable power plants, reducing delays

Customer engagementGeneric product pitches often miss addressing specific customer needs, resulting in slower sales discovery cycles and lower engagement from key stakeholders.

Develop new business opportunities for the electric vehicle charging market

HSE managementAI can enhance Health, Safety, and Environment (HSE) management in energy and resource organizations by predicting potential hazards and suggesting preventive measures, thereby reducing risks. It can also analyze data from incidents to identify root causes and improve safety protocols. Additionally, AI can monitor compliance with regulations and standards in real-time, ensuring adherence and minimizing violations. Overall, AI helps create safer, more compliant, and environmentally responsible operations.

Streamline on-site inspections to reduce risks and ensure compliance

Operations and maintenanceAI can optimize operations and maintenance in energy and resource organizations by predicting equipment failures and scheduling preventive maintenance, reducing downtime and costs. It can also analyze data from sensors and IoT devices to enhance efficiency and performance. Additionally, AI can assist in energy management by forecasting demand and optimizing resource allocation. Overall, AI helps ensure reliable, efficient, and cost-effective operations.

Enhance the resolution of alarms in energy control rooms, leading to quicker resolutions

Improve the efficiency and speed of field workers in addressing operational issues

Supply, trading, and risk managementAI can optimize supply chain management by predicting demand and ensuring efficient resource allocation, reducing costs and improving reliability. In trading, AI can analyze market trends and data to make informed decisions, enhancing profitability. For risk management, AI can identify potential risks and simulate various scenarios to develop effective mitigation strategies. Overall, AI enhances efficiency, profitability, and risk mitigation in supply, trading, and risk management.

Utilize Copilot to handle data overload, allowing traders to make quicker and more accurate decisions

Energy and Resources roles