Background

A global energy provider supplying electricity and gas across continents faced challenges with aging infrastructure, frequent outages, and rising service costs. Manual inspections and legacy systems limited visibility into asset health and slowed responsiveness to customer issues. By deploying AI-powered preventative maintenance and customer engagement platforms, the provider transformed its operations and service delivery.

Customer Outcome

Energy consumers benefit from fewer outages, faster service restoration, and personalised communication on consumption and billing, enhancing trust and customer experience.

Business Outcome

AI-driven monitoring reduced grid downtime by 50%, maintenance costs by 25%, and regulatory penalties linked to service failures. Predictive analytics improved demand forecasting and sustainability reporting, while customer engagement tools boosted satisfaction and loyalty scores by double digits.

Technology Platform Options
 

1. Predictive Maintenance & IoT – GE Predix, Hitachi Lumada, AWS IoT TwinMaker.

2. AI & ML Frameworks – TensorFlow, PyTorch, Azure AI, AWS SageMaker.

3. Grid & Asset Monitoring – Schneider EcoStruxure, Siemens Grid Edge, IBM Maximo.

4. Customer Engagement Platforms – Oracle Utilities CX, Salesforce Energy & Utilities Cloud, SAP Customer Experience.

5. Sustainability & ESG Tools – Microsoft Cloud for Sustainability, Enablon ESG, Databricks ESG Lakehouse.
   
   
   Connect below with an aiT Specialist today about how to implement 'AI Preventative Maintenance' across your organisation.