Crews spent 30 minutes digging at each pole. AI now predicts corrosion risk using 30 years of data, preventing unnecessary excavation.
South Australia's sole electricity distributor manages a grid covering an area four times the size of the United Kingdom, relying on aging infrastructure largely built in the 1950s.
Field technicians working in remote areas struggled to locate specific diagrams or paragraphs within 600-page manuals on small mobile screens....
“When we decided to experiment with AI, SAP was the natural choice. With SAP solutions, we know we’re using the best technology out there today from a partner we’ve trusted for decades. SAP Business AI equips us with the tools we need, driving our transformation into a smart enterprise.”
SA Power Networks's Infrastructure maintenance is part of this use case:
Electricity distribution network operator for South Australia.
SAP is an enterprise software company that provides comprehensive business solutions for data management and digital transformation across various industries.
Related implementations across industries and use cases
Crews wasted time verifying safety docs. A GenAI assistant now serves instant, authorized answers, scaling to 4,000 technicians.
Consultants manually sifted through code. GenAI now scans 280 million lines to generate tailored implementation instructions.
New hires took months to master SAP systems. An AI copilot now guides configuration steps, allowing consultants to deliver value on day one.
Data silos left field teams blind during outages. Now, scanning a QR code instantly delivers live diagnostics and AI-guided repair steps.
38% of repairs happened after failure. AI now correlates images and sensors to predict faults, saving one site £8.4M annually.
Routine requests buried support staff. AI agents now resolve 71% of cases autonomously, from billing answers to smart charging setup.
Manual call notes burdened agents, while managers struggled to track promises. Now, AI copilots automate summaries and verify commitments.
Manual maintenance reports and routine purchases bottlenecked staff. AI agents now accurately classify faults and recommend suppliers.
QA teams manually searched vast incident logs to assess deviations. Now, multi-agent AI synthesizes past cases into verified summaries.
Crews spent 30 minutes digging at each pole. AI now predicts corrosion risk using 30 years of data, preventing unnecessary excavation.
South Australia's sole electricity distributor manages a grid covering an area four times the size of the United Kingdom, relying on aging infrastructure largely built in the 1950s.
Field technicians working in remote areas struggled to locate specific diagrams or paragraphs within 600-page manuals on small mobile screens....
“When we decided to experiment with AI, SAP was the natural choice. With SAP solutions, we know we’re using the best technology out there today from a partner we’ve trusted for decades. SAP Business AI equips us with the tools we need, driving our transformation into a smart enterprise.”
SA Power Networks's Infrastructure maintenance is part of this use case:
Electricity distribution network operator for South Australia.
SAP is an enterprise software company that provides comprehensive business solutions for data management and digital transformation across various industries.
Related implementations across industries and use cases
Crews wasted time verifying safety docs. A GenAI assistant now serves instant, authorized answers, scaling to 4,000 technicians.
Consultants manually sifted through code. GenAI now scans 280 million lines to generate tailored implementation instructions.
New hires took months to master SAP systems. An AI copilot now guides configuration steps, allowing consultants to deliver value on day one.
Data silos left field teams blind during outages. Now, scanning a QR code instantly delivers live diagnostics and AI-guided repair steps.
38% of repairs happened after failure. AI now correlates images and sensors to predict faults, saving one site £8.4M annually.
Routine requests buried support staff. AI agents now resolve 71% of cases autonomously, from billing answers to smart charging setup.
Manual call notes burdened agents, while managers struggled to track promises. Now, AI copilots automate summaries and verify commitments.
Manual maintenance reports and routine purchases bottlenecked staff. AI agents now accurately classify faults and recommend suppliers.
QA teams manually searched vast incident logs to assess deviations. Now, multi-agent AI synthesizes past cases into verified summaries.