1. Identify risky, high cost and resource intensive assets and recommend repair vs. replace across asset classes: 1.1 Power transformers 1.2 Line insulators 1.3 Shunt reactors 2. Identify gaps in asset health knowledge 3. Avoid catastrophic failure by identifying the risk, impact and confidence of every asset 4. Predict the next failure before it happens by doing the right maintenance at the right time 5. Utilize the maximum useful life of an asset without compromising reliability 6. Optimize tradeoff between short-term maintenance and long-term programmatic investment 7. Run comprehensive scenarios from the same detailed dataset 8. “Performing the right work at the right cost at the right time with certainty”
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