IA and RPA for Energy & Utilities

Maximize operational efficiencies and predict failure faster by building end-to-end AI/ML predictive maintenance models into business-as-usual systems. Predict faults in advance with higher accuracy, resulting in higher equipment uptime and lower operational cost.

Automate regular scheduling of maintenance and safety checks, as well as any rescheduling requirements based on reports from the field.

Enable engineers to update records in the field and automatically sync with multiple back-office systems to ensure accuracy and consistency, and to maintain SLAs.

Check inventory levels against actual stock and automatically generate purchase orders to suppliers, speeding up the process and preventing delays.

Gather and aggregate vast datasets from IoT sensors and devices across the energy grid to enable predictive maintenance and forecasting.

Automate the collection of meter readings from multiple sources such as smart meters, customers, third-party meter readers and estimates.

Meter readings come from multiple sources and can often be out of sync. Utilities can avoid providing erroneous bills and poor customer experience by automatically investigating exceptions. Intelligent automation can be used to check the most reliable meter-reading sources and apply corrections to the core billing system.

Intelligent automation can check accounts that show excessive or negative consumption and correct the errors or request further information.

Integrate legacy billing systems with third-party mobile payment applications to enable customers to pay with ease. Digital workers take data from mobile payments and update the core billing system, reconciling payments without manual intervention.

Collection agents submit updates on the stage and status of visits, whether debt collection has been successful or not. Digital workers take this information and update all appropriate systems, saving manual effort and eliminating re-keying errors.

Intelligent automation is used to pull together customer information, such as searching credit record websites, prior to collection action proceeding. Automated validation saves manual effort upfront and reduces wasted agent time from unnecessary visits.

Automate new regulatory processes from the start. Reduce the cost of training your human workforce and go straight to digital workers. Reduce the risk of human error and increase the speed of execution.

Ensure a full 100% audit trail and compliance by automating internal reviews to proactively identify potential compliance issues.

Digital workers can collect data and build reports to demonstrate regulatory performance and SLAs.

Automate the measurement of pre and post regulation impact on operational costs.

Digital workers pull together the data and documentation needed to set up approved and vetted suppliers accurately and efficiently.

Digital workers pull together the appropriate data to measure supplier performance against contractual service level agreements (SLAs), ensuring any issues can be highlighted early and actioned as necessary.

Create and update accurate and timely supplier contracts, and proactively alert suppliers when contract agreements are due for renewal to ensure enough time is available for renegotiation.