Powercor Adopts State-of-the-Art Agentic AI Throughout the Organization
We independently review everything we recommend. When you buy through our links, we may earn a commission which is paid directly to our Australia-based writers, editors, and support staff. Thank you for your support!
Concise Overview
- Powercor is adopting agentic AI to improve data accessibility and operational effectiveness.
- AI agents are transforming call analytics, email management, and compliance evaluations.
- Autofocus, constructed on AWS, supports non-technical individuals in decoding drone-captured asset visuals.
- The organisation expects a notable increase in efficiency and productivity.
- Plans to expand AI implementation throughout the company are set for the next 6-12 months.
Powercor’s AI Evolution
Powercor, the electricity distributor in Victoria, is leading a digital transformation by incorporating agentic AI into its workflows. This advancement is intended to enhance processes for both contact center representatives and field personnel, boosting accessibility to data and operational effectiveness.
Transitioning from Generative to Agentic AI
Digital R&D manager Peter McTaggart spoke at the AWS Summit in Sydney, sharing that Powercor’s engagement with AI commenced 18 months ago focusing on generative AI. The attention has now pivoted to agentic AI, which offers enhanced automation and efficiency in processes.
The Autofocus System
Powercor originally created the Autofocus system to help non-technical users comprehend asset images taken by drones. Powered by an AWS framework that includes Amazon Bedrock, Autofocus delivers a natural language interface that decreases false positive defect reports from users.
Since its launch, Autofocus has broadened its scope to improve document management and facilitate enhanced information retrieval within the organisation.
Functionality of AI Agents
The implementation of AI agents at Powercor started with call analytics. These agents ensure adherence to call center protocols, deliver feedback, and conduct sentiment evaluations. Additional tasks include automating email replies and performing compliance inspections on approximately 16,000 field plans each year.
This automation driven by AI tackles low-value assignments, liberating resources and expediting workflows.
Looking Ahead and Organizational Growth
McTaggart highlighted the increasing necessity for agentic AI within Powercor, underlining its capability to significantly boost productivity and efficiency. The strategy is to expand AI usage throughout the company during the forthcoming year.
Conclusion
Powercor’s integration of agentic AI signifies a major advancement towards improved operational effectiveness. By utilizing AI for call analytics, email automation, and compliance verification, the company is on track to transform its processes, with wider organizational integration anticipated soon.