Health Pro

Run scoring on autopilot

Load custom scoring formulas

Use GIS fields, as well as other systems, to load current health score formulas. Scores are kept live updated - no wasted time with excels and manual calculations.

Generate scoring documents

Instantly generate scoring documents that explain scoring, variables used, ranges of variables, updates over time, and more. Useful in all regulatory files as well as internal reviews.

Pre-analyze risk scoring updates

Copilot will pre-analyze the impact of formula changes before they are published and used

Future ready machine learning

Use ML to identify improvement opportunities to scoring formulas, while creating transparent context for regulators

Uncover capital needs with benchmarks

Multiple benchmarks

Select from an array of benchmarking sets or bring your own benchmarks.

Better comparisons

Senpilot DIG cleans and categories assets to ensure apples-to-apples comparisons across datasets.

Best-practice reports

Leverage regulator endorsed benchmarking sets such as Kinectrics.

Save millions on benchmarking

Use the cleanest data to live benchmark any assets at a time. Get the insights you need to make better asset decisions. Extend life by up to 30% with improved forecasting.

Best practice benchmarks

95%

Savings vs consultants

40x

More data vs average

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Latest AI x Utilities

July 16, 2024

Predictive maintenance: future-proofing asset management in utilities

AI based predictive maintenance varies widely in benefits with costs decreasing only 15% while downtime can improve up to 60%. The accuracy of a predictive model is correlated to the amount of failure training data available.

May 7, 2024

Machine learning in the wear-out period of a utility asset

In the US/Canada, 15% of assets are running past expected life. The average Utility can unlock up to $3B in value by leveraging a machine learning to manage wear-out period assets.

April 19, 2024

Managing the 30% of US distribution assets at end of life

Approximately 30% of Utility distribution assets are in the end of life period. Technology, specifically AI and ML, can now be leveraged to run assets longer than before, through the wear-out period.