[{"data":1,"prerenderedAt":272},["ShallowReactive",2],{"uc-hub-industry-energy-and-utilities":3},{"type":4,"typeLabel":5,"term":6,"includeUnpublished":10,"indexable":11,"stats":12,"useCases":21,"benchmarks":200,"topIndustries":201,"topFunctions":202,"topPatterns":219,"stageMix":236,"regionMix":247,"organizations":256,"other":257},"industry","Industry",{"id":7,"label":8,"description":9},"energy-and-utilities","Energy and utilities","Power, gas and water utilities and energy retailers: billing, outage communication, field work and grid operations.",false,true,{"useCases":13,"publicDeployments":14,"blitsAiDeployments":15,"organizations":14,"countries":16,"outcomeDisclosureRate":17,"gradeMix":18},8,14,0,6,86,{"A":15,"B":19,"C":20,"D":15},3,11,[22,61,84,103,128,144,167,187],{"slug":23,"title":24,"shortTitle":25,"definition":26,"status":27,"industries":28,"functions":35,"patterns":38,"audience":43,"autonomy":44,"adoptionStage":45,"segment":46,"evidenceCount":19,"publicEvidenceCount":47,"organizations":48,"bestGrade":51,"headline":52,"lastVerified":60,"indexable":11},"collections-and-hardship-agent","AI agent for early collections and hardship support","Collections and hardship agent","A voice and messaging agent that contacts customers in early arrears and answers their inbound calls, takes payments and sets up payment arrangements within preapproved rules, and recognises signs of hardship or vulnerability so those customers go straight to a trained person.","published",[29,30,31,32,7,33,34],"cross-industry","banking","payments","telecommunications","automotive","professional-services",[36,37],"collections-and-recovery","customer-service",[39,40,41,42],"voice-agent","conversational-agent","agentic-workflow","classification-and-routing","customer-facing","supervised-agent","early-adopters","lending",2,[49,50],"Day Knight & Associates","SameDay Auto Finance","C",{"kpi":53,"label":54,"unit":55,"n":47,"nUpTo":15,"kind":56,"value":57,"qualifier":58,"claimant":59,"organization":50,"vendorReported":11},"cost-reduction","Cost reduction","percent","reported",75,"exact","vendor","2026-09-27",{"slug":62,"title":63,"shortTitle":64,"definition":65,"status":27,"industries":66,"functions":67,"patterns":69,"audience":43,"autonomy":44,"adoptionStage":45,"evidenceCount":16,"publicEvidenceCount":71,"organizations":72,"bestGrade":78,"headline":79,"lastVerified":83,"indexable":11},"utility-billing-and-move-agent","AI agent for utility billing, payments, meter readings and move in or move out","Utility billing and home moves","An AI agent for energy and water customers that explains bills and tariffs, takes meter readings, sets up or changes payments, and handles move in and move out (final reads, closing one account and opening the next), across phone, messaging, email and the app, while anyone in payment difficulty, in a vulnerable situation or with a complaint is handed to a person.",[7],[37,68],"operations",[40,39,41,70],"rag-knowledge-assistant",5,[73,74,75,76,77],"Aydem Energy","Dubai Electricity and Water Authority","EDF","Octopus Energy","Pacific Gas and Electric Company","B",{"kpi":80,"label":81,"unit":55,"n":47,"nUpTo":15,"kind":56,"value":57,"qualifier":58,"claimant":82,"organization":73,"vendorReported":10},"containment-rate","Containment rate","organization","2026-09-26",{"slug":85,"title":86,"shortTitle":87,"definition":88,"status":27,"industries":89,"functions":90,"patterns":92,"audience":95,"autonomy":96,"adoptionStage":45,"segment":97,"evidenceCount":47,"publicEvidenceCount":47,"organizations":98,"bestGrade":51,"headline":101,"lastVerified":102,"indexable":11},"smart-meter-analytics","AI analytics for smart meter and AMI data","Smart meter analytics","AI that turns the flood of readings from smart electricity, gas and water meters into usable information: it monitors meter and network health at scale, estimates which appliances drive a household's usage from the meter signal alone, flags unusual consumption, and targets efficiency and electrification programmes at the customers who will benefit most, instead of a utility treating every meter and every customer the same way.",[7],[68,91],"analytics-and-reporting",[93,94],"anomaly-detection","prediction-and-scoring","back-office","assist","metering-and-billing",[99,100],"Consolidated Edison (Con Edison)","Southern California Gas Company (SoCalGas)",null,"2026-09-28",{"slug":104,"title":105,"shortTitle":106,"definition":107,"status":27,"industries":108,"functions":111,"patterns":114,"audience":95,"autonomy":44,"adoptionStage":116,"segment":95,"evidenceCount":71,"publicEvidenceCount":117,"organizations":118,"bestGrade":78,"headline":123,"lastVerified":60,"indexable":11},"supplier-invoice-processing","AI for supplier invoice processing in accounts payable","Supplier invoice processing","AI that captures supplier invoices from any format, extracts header and line data, matches them to purchase orders and goods receipts, proposes tax and cost centre coding, flags duplicates and suspected fraud, and routes them for approval and posting, leaving only exceptions to accounts payable staff.",[29,30,109,110,7],"government","retail-and-ecommerce",[112,113],"finance-and-accounting","procurement",[115,41,93,42],"document-processing","mainstream",4,[119,120,121,122],"Federal Deposit Insurance Corporation","Kingfisher","U.S. Immigration and Customs Enforcement","Veolia",{"kpi":124,"label":125,"unit":55,"n":126,"nUpTo":126,"kind":56,"value":127,"qualifier":58,"claimant":82,"organization":120,"vendorReported":10},"productivity-gain","Productivity gain",1,80,{"slug":129,"title":130,"shortTitle":131,"definition":132,"status":27,"industries":133,"functions":135,"patterns":137,"audience":138,"autonomy":96,"adoptionStage":45,"segment":139,"evidenceCount":19,"publicEvidenceCount":19,"organizations":140,"bestGrade":78,"headline":101,"lastVerified":60,"indexable":11},"industrial-asset-predictive-maintenance","AI predictive maintenance for industrial and energy assets","Industrial predictive maintenance","Machine learning that learns the normal behaviour of industrial and energy equipment from sensor and process data, flags early signs of degradation weeks or months before a failure, and turns them into prioritised maintenance work, so plants and utilities plan repairs instead of reacting to breakdowns.",[7,134],"manufacturing",[68,136],"field-service",[93,94],"employee-facing","asset-management",[141,142,143],"Duke Energy","Georgia-Pacific","Shell",{"slug":145,"title":146,"shortTitle":147,"definition":148,"status":27,"industries":149,"functions":151,"patterns":153,"audience":95,"autonomy":44,"adoptionStage":45,"evidenceCount":71,"publicEvidenceCount":71,"organizations":156,"bestGrade":51,"headline":162,"lastVerified":60,"indexable":11},"call-quality-and-compliance-monitoring","AI quality and compliance monitoring of every customer interaction","Call quality and compliance","Automated quality assurance that transcribes and scores every customer interaction, voice and chat, against the organization's own rubric, checking required disclosures and script adherence, flagging conduct and mis selling risk, and surfacing coaching opportunities, instead of the small sample a human QA team can review.",[29,30,150,7,32,110],"insurance",[37,152,68],"regulatory-compliance",[154,42,155],"speech-analytics","summarization",[157,158,159,160,161],"British Gas","Central Bank","DoorDash","Oportun","VitalityHealth",{"kpi":163,"label":164,"unit":55,"n":126,"nUpTo":15,"kind":56,"value":165,"qualifier":166,"claimant":59,"organization":157,"vendorReported":11},"quality-score-uplift","Quality score uplift",10,"approximately",{"slug":168,"title":169,"shortTitle":170,"definition":171,"status":27,"industries":172,"functions":173,"patterns":176,"audience":138,"autonomy":178,"adoptionStage":45,"evidenceCount":19,"publicEvidenceCount":19,"organizations":179,"bestGrade":51,"headline":183,"lastVerified":60,"indexable":11},"sales-quote-and-estimate-generation","AI quote and estimate generation from customer requirements","Quote and estimate generation","AI that turns what a customer sends, such as a product list, a drawing, a roof photo or a request for quotation, into a draft quote: it reads the input, matches items to the catalog, calculates quantities and applies the organization's price rules, and hands the draft to a seller or estimator who checks and sends it.",[29,134,7,110],[174,175],"sales","product-and-pricing",[115,41,177],"computer-vision","copilot",[180,181,182],"DeAcero","Enpal","The ODP Corporation",{"kpi":184,"label":185,"unit":55,"n":126,"nUpTo":15,"kind":56,"value":186,"qualifier":58,"claimant":59,"organization":181,"vendorReported":11},"handling-time-reduction","Handling time reduction",87.5,{"slug":188,"title":189,"shortTitle":190,"definition":191,"status":27,"industries":192,"functions":193,"patterns":195,"audience":138,"autonomy":178,"adoptionStage":45,"segment":196,"evidenceCount":47,"publicEvidenceCount":47,"organizations":197,"bestGrade":51,"headline":101,"lastVerified":60,"indexable":11},"power-line-vegetation-management","AI vegetation management for power lines","Power line vegetation management","AI that analyses satellite, aerial or lidar imagery of the land along power lines to estimate where and how fast vegetation will grow into the lines or fall onto them, and turns that into a risk based trimming and hazard tree removal plan, replacing fixed trimming cycles and manual patrols.",[7],[194,136],"network-operations",[177,94],"grid",[198,199],"Entergy","National Grid",[],[],[203,205,207,209,211,213,215,217],{"id":68,"label":204,"count":117},"Operations",{"id":37,"label":206,"count":19},"Customer service",{"id":136,"label":208,"count":47},"Field service",{"id":91,"label":210,"count":126},"Analytics and reporting",{"id":36,"label":212,"count":126},"Collections and recovery",{"id":112,"label":214,"count":126},"Finance and accounting",{"id":194,"label":216,"count":126},"Network operations",{"id":113,"label":218,"count":126},"Procurement",[220,222,224,226,228,230,232,234],{"id":41,"label":221,"count":117},"Agentic workflow",{"id":93,"label":223,"count":19},"Anomaly detection",{"id":42,"label":225,"count":19},"Classification and routing",{"id":94,"label":227,"count":19},"Prediction and scoring",{"id":177,"label":229,"count":47},"Computer vision",{"id":40,"label":231,"count":47},"Conversational agent",{"id":115,"label":233,"count":47},"Document processing",{"id":39,"label":235,"count":47},"Voice agent",[237,239,241,243,245],{"stage":238,"count":15},"announced",{"stage":240,"count":15},"pilot",{"stage":242,"count":13},"production",{"stage":244,"count":16},"scaled",{"stage":246,"count":15},"paused",[248,250,252,254],{"region":249,"count":16},"europe",{"region":251,"count":16},"north-america",{"region":253,"count":126},"middle-east",{"region":255,"count":126},"global",[73,157,99,74,141,75,181,198,199,76,77,143,100,122],{"records":258,"organizations":258,"byIndustry":259},12,[260,262,264,266,268,270],{"id":30,"label":261,"count":19,"hub":11},"Banking",{"id":110,"label":263,"count":19,"hub":11},"Retail and ecommerce",{"id":109,"label":265,"count":47,"hub":11},"Government and public sector",{"id":134,"label":267,"count":47,"hub":11},"Manufacturing",{"id":150,"label":269,"count":126,"hub":11},"Insurance",{"id":34,"label":271,"count":126,"hub":11},"Professional services",1790598311190]