> For the complete documentation index, see [llms.txt](https://docs.layerlens.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.layerlens.ai/more-in-this-section-2/scenarios-1.md). # Energy and utilities scenarios Energy and utilities scenarios — grid operations, predictive maintenance, customer service, demand response, safety. Industry patterns, not customer case studies. Five canonical scenarios where electric, gas, water, and pipeline utilities use Stratix evaluation to gate AI features. ## 1. Grid operations and dispatch support **Setup:** AI assists grid operators — surfaces alarm correlations, suggests switching steps, drafts customer-impact messages, summarizes weather/contingency analysis. **Why it's hard:** * Grid state is high-velocity; safety-critical * N-1 / N-1-1 contingency math defeats general LLMs * BES (Bulk Electric System) reliability standards (NERC CIP, NERC OPS) are unforgiving * Cascading failure dynamics → catastrophe risk **Stakes:** * 2003 Northeast blackout class scale possible * NERC penalties up to $1M per violation per day * FERC Order 880 (cyber) and 881 (transmission) overlay * Public-safety dependencies (medical, water pumping) raise stakes further **Stratix evaluation criteria:** | Aspect | What you measure | Pattern | | --------------------------- | -------------------------------------------- | ----------------- | | Switching-step faithfulness | Output matches approved switching procedures | Hard rule + judge | | Contingency-rule compliance | N-1 obligations preserved | Hard rule | | Advisory-only | AI never auto-applies dispatch | Hard rule | | Customer-impact message | Plain-language and faithful | Judge | | Procedure-version match | Cited procedure version current | Rule | ## 2. Predictive maintenance for grid assets **Setup:** AI ingests SCADA, weather, asset history; predicts transformer / breaker / line-section failure risk; recommends inspections, replacements, vegetation work. **Why it's hard:** * Wildfire-ignition risk in CA / Western states drives extreme stakes * Asset replacement decisions allocate capital across decades * PURPA / state-PUC depreciation rules constrain accounting * Underground vs. overhead trade-offs are politically charged **Stakes:** * PG\&E bankruptcy (\~$30B) was wildfire-ignition driven * State PUC and CPUC AI / wildfire-risk rules are active * Negligent failure to maintain has triggered criminal exposure in CA **Stratix evaluation criteria:** * **Risk-calibration scorer** — Predicted vs. actual failure rate * **Wildfire-zone rule** — Hard rule: high-fire-threat district items get priority routing * **Asset-criticality rule** — Critical assets always escalate to human review * **Vegetation-rule compliance** — Hard rule per state vegetation management standard ## 3. Customer service and billing **Setup:** Customer chatbot for billing questions, outage reporting, energy efficiency, plan options. **Why it's hard:** * LIHEAP / state low-income protections — wrong shutoff guidance can cause real harm * Senior / medical-baseline protections require accurate handling * Multi-language requirements; LEP customer regulations * Outage-status accuracy critical for vulnerable populations **Stakes:** * Wrongful disconnection of medical-baseline customers has caused deaths * State PUCs and AGs aggressive on shutoff practices * Class actions on bill estimates / TOU misapplication common **Stratix evaluation criteria:** * **Medical-baseline rule** — Hard rule: medical-baseline customers routed to human for shutoff topics * **Low-income-program rule** — LIHEAP / CARE / state-program eligibility surfaced when applicable * **Outage-data freshness** — Cited data within threshold * **Multilingual parity** — Per-language judge runs * **Tariff citation** — Bill explanations cite the applicable tariff ## 4. Demand response and DERMS **Setup:** AI manages distributed energy resources — surfaces dispatch options, drafts participant communications, analyzes settlement. **Why it's hard:** * ISO/RTO market rules (PJM, MISO, ERCOT, CAISO, ISO-NE, NYISO, SPP) all differ * FERC Order 2222 expanded DER market participation * Settlement-quality metering data must support audit * Cybersecurity exposure for grid-edge devices **Stakes:** * ISO/RTO settlement disputes costly to litigate * FERC enforcement on market-manipulation rules * Cyber exposure under NERC CIP standards **Stratix evaluation criteria:** * **ISO-rule compliance rule** — Hard rule: outputs match the applicable ISO/RTO market rules * **Settlement-data freshness** — Cited meter data current * **Participant-communication faithfulness** — Plain-language judge against actual dispatch * **Cyber-control gate** — Hard rule: AI cannot bypass NERC CIP controls ## 5. Field-safety and workforce assistance **Setup:** Field crews ask about energized work, switching procedures, gas-leak protocols, confined-space requirements. **Why it's hard:** * OSHA 1910.269 (electric power generation/transmission/distribution) is unforgiving * DOT pipeline safety regulations (49 CFR 192/195) for gas * Mistakes cause fatalities **Stakes:** * Worker fatalities in line work / gas work are routine industry events * OSHA citations + criminal exposure for willful violations * DOT PHMSA enforcement on pipelines * Family/community trauma is incalculable **Stratix evaluation criteria:** * **Energized-work rule** — Hard rule: outputs cite applicable LOTO and PPE requirements * **Pipeline-procedure rule** — Hard rule: gas / pipeline procedures cite 49 CFR section * **Out-of-scope refusal** — Hard rule * **Manual-version match** — Hard rule * **Safety-disclaimer rule** — Standard disclaimer present ## See also * [Energy eval patterns](/more-in-this-section-2/eval-patterns-1.md) * [Energy compliance](/more-in-this-section-2/compliance-1.md)