Proactive Optimised Assets and Practices

Our View

Project Data

Start date:

10/01/2022

End date:

02/28/2025

Budget:

£442,836

Summary

Our View explored the benefits of using video-enabled technologies to improve customer service and enhance the safety of field staff. The project enabled customers to initiate video calls with our agents when reporting issues, offering the potential for faster problem resolution. It also gave our field teams the opportunity to trial video-based risk assessments in the field.

What is the project about?

Customers often struggle to provide accurate information when reporting electricity issues, leading to delays and inefficiencies. Our View introduced a video-sharing platform to enable real-time visual assessments during calls, improving the accuracy of damage reports and speeding up resolution.

Through photo and video uploads, customers can more clearly report issues like downed lines or meter problems, reducing unnecessary engineer visits and improving service quality. The platform also supports safety improvements by allowing field staff to conduct video-based risk assessments via a mobile app. These visual records help identify hazards, track changes over time, and support audits and training through AI-driven analysis.

By combining customer engagement with enhanced safety practices, the project delivers a smarter, faster, and more efficient response across the network.

How we’re doing it

The goal of the project was to enhance service quality, operational efficiency, and safety standards using advanced technology. The project met its objectives, successfully testing and refining new workflows for both customer service and safety assessments.

Customer Service
The project demonstrated the benefits of live video calls with customers, showing clear improvements in service delivery. Updates were made to UK Power Networks’ call handling software to store video URLs and to the work management system, enabling dispatchers to share this visual information with field engineers attending site.

Safety
The project also trialled a video-based site risk assessment app with field staff. Using AI, the app analysed visual data to detect specific hazards, providing valuable insights for audits, training, and improved hazard mitigation. Although the application will not move forward into business as usual, the trial generated useful feedback and learnings, which will inform future innovation initiatives.

Overall, the project validated the potential of video and AI tools to improve customer interaction and safety practices across the network.

What makes it innovative

The project trialled a video-sharing platform that leverages tools such as video/image capture, AI detection, and live markups to enhance customer service and site safety. The platform enables seamless connections between devices like smartphones, tablets, and laptops, and runs directly in a browser—no downloads or installations required.

Customer Service
The project addressed a common challenge: customers often lack the knowledge to accurately describe issues affecting their electricity supply. Simple visual assessments—enabled through video calls—help agents quickly determine whether a problem lies with the electricity network or internal installations.

The platform also improved the reporting of incidents such as low-hanging or downed overhead lines. Previously, vague or inaccurate descriptions often led to unnecessary engineer callouts, only to find issues unrelated to UK Power Networks (e.g., customer meter faults or downed telecom lines). These false alarms wasted time, increased operational costs, and delayed responses to real emergencies. By enabling clearer, real-time visual communication, the platform helped direct resources more efficiently and improved customer outcomes.

Safety
Currently, pre-work and point-of-work risk assessments are conducted either on paper or digitally via Toughpads. While effective, these methods are limited in capturing ongoing site conditions and changes throughout the job.

The new platform introduced a more dynamic, video-based approach. Field staff could record visual data of the worksite, enabling better tracking of site conditions, identification of hazards, and documentation of any changes (e.g., weather shifts or increased site activity). AI tools analysed these visuals to detect risks, support audits, and provide valuable insights for training.

By introducing real-time, visual record-keeping, the platform enhanced safety oversight, helped identify behavioural and procedural drifts, and ultimately reduced risks to field staff. To our knowledge, this was the first use of such technology within the electricity distribution licence area.

What we’re learning

Through this project, UK Power Networks gained valuable insights into the effectiveness of AI-driven video assessments in improving both customer service and field safety. The trials highlighted the importance of thorough training and stakeholder engagement to ensure successful implementation. They also underscored the need for seamless systems integration to effectively capture and utilise relevant information. Feedback from the initial trials provided critical data to refine and validate the solution ahead of any broader deployment.

These learnings helped UK Power Networks enhance service quality, operational efficiency, and safety standards, while also identifying areas for further innovation. The project delivered key internal and external insights into how this innovative solution could impact both the network and its customers. Additionally, data from customer-reported network damage using the tool offered a foundation for future studies aimed at enabling targeted maintenance in areas with repeated incidents.

Key Outcomes from the Project:

  • UK Power Networks’ customers were better supported during power outages. The enhanced service experience provided flexible support options, helping guide customers through internal checks during a power cut.

  • The low and grounded conductors team could now join live video calls with customers to assess potentially hazardous situations in real time, while continuing to provide guidance.

  • Wasted engineer visits were reduced, leading to improved utilisation and optimisation of field resources.

  • By trialling AI-driven video site assessments, UK Power Networks gained a clearer understanding of the current capabilities in this space. This enabled improvements to existing methodologies and informed how best to incorporate field staff feedback into future safety processes.

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