For Energy and Utilities

Cognitive Sovereignty Self-Audit for Energy and Utilities

This audit measures whether your organisation can still make critical decisions about grid management, energy trading, and sustainability reporting without relying on AI systems you cannot interrogate. Your answers reveal gaps between the judgement your operators possess and the judgement your systems require them to have.

This takes about two minutes. Answer honestly.

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1. When your grid management AI recommends load shedding during peak demand, what happens next?

2. Your energy traders receive AI recommendations from your trading system. How do they act on them?

3. Your sustainability reporting relies on AI processing of grid data, emissions calculations, and renewable output forecasts. How is this verified?

4. IBM Maximo generates predictive maintenance alerts for your substations and generation equipment. How do maintenance planners respond?

5. A critical grid failure occurs. Your AI systems were involved in the decisions that led to it. Can your leadership explain what happened?

6. Your operators have not made a consequential grid decision without AI input for two years. Is this a concern for your organisation?

7. Your organisation uses ChatGPT or similar language models to draft sustainability narratives, grid analysis reports, or trading briefings. Who verifies the factual accuracy?

8. If all your AI systems lost access to data for 24 hours, could your organisation run the grid, execute trades, or produce compliance reports?

Your score

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