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AI use cases in energy and utilities

The most documented AI use cases in energy and utilities are utility billing and home moves, industrial predictive maintenance and smart meter analytics, across 56 public deployments by 53 organizations. Power, gas and water utilities and energy retailers: billing, outage communication, field work and grid operations.

Use cases
17
Deployments
56
Organizations
53
Outcome disclosed
73%

The 10 most common AI use cases in energy and utilities

Ranked by the number of energy and utilities organizations with a public deployment, as of 11 November 2026.

  1. 1
    AI agent for utility billing, payments, meter readings and move in or move out

    An AI agent for utility billing and moves explains bills and tariffs, takes meter readings and manages payments and account moves for energy and water customers.

    13 organizations
    69% median containment rate
    4 deployments
  2. 2
    AI predictive maintenance for industrial and energy assets

    AI predictive maintenance is machine learning that learns the normal behavior of industrial and energy equipment and flags early signs of degradation before a failure.

    6 organizations
  3. 3
    AI analytics for smart meter and AMI data

    Smart meter analytics is AI that turns readings from smart electricity, gas and water meters into usable information for utilities, instead of treating every meter and customer the same way.

    5 organizations
  4. 4
    AI vegetation management for power lines

    Power line vegetation management is AI that analyzes imagery of the land along power lines to estimate where vegetation risks the lines, for utility crews.

    5 organizations
  5. 5
    AI leak detection for water distribution networks

    AI water leak detection is machine learning that analyzes acoustic sensor recordings, flow and pressure data or satellite imagery to find leaks in a water utility's pipe network.

    4 organizations
  6. 6
    AI agent for EV charging driver support and charger troubleshooting

    An AI agent for EV charging driver support answers the phone, chat and email contacts of drivers who cannot start or finish a charging session.

    3 organizations
    about 70% containment rate
    one deployment, vendor claim
  7. 7
    AI for supplier invoice processing in accounts payable

    AI supplier invoice processing is AI that captures supplier invoices in any format and extracts the header and line data.

    3 organizations
    85% automation rate
    one deployment, organization claim
  8. 8
    AI forecasting of wind and solar generation for grid balancing and trading

    Renewable generation forecasting is AI that predicts how much power a wind or solar asset will generate over the next hours to a day ahead.

    3 organizations
  9. 9
    AI storm outage prediction and restoration staging for power grids

    AI storm outage prediction is AI that predicts how many outages a coming storm will cause, where, and how severe restoration will be, for utility storm response teams.

    3 organizations
    about 33% time to repair reduction
    one deployment, vendor claim
  10. 10
    AI wildfire smoke detection cameras for utilities

    AI wildfire smoke detection is computer vision on tower cameras that spots early smoke, has a person confirm it, and alerts fire dispatch with a triangulated location.

    3 organizations

17 Energy and utilities use cases

53 organizations in 15 countries run these use cases in public. 73% of those 56 deployments disclose a measurable outcome.

Cross industryEnergy and utilities

AI agent for autonomous RFQ and tail spend sourcing

Autonomous RFQ sourcing is AI that sends requests for quotation to suppliers, compares the bids and recommends or makes the award for small purchases, within rules a buyer sets. It covers the tail of spend, the many low value or repeat requests that buyers rarely have time to compete, and hands complex or high value events to a person.

Deployments
4 public, best grade C
Reported cycle time reduction
75%
G42, vendor claim
Cross industryRetail and ecommerce

AI agent for autonomous supplier negotiation

An AI agent for supplier negotiation contacts suppliers the organization already buys from, usually in the long tail of spend, and negotiates price, payment terms or rebates with them within limits the buyer has set. Agreed terms flow back into the procurement system, and buyers handle the exceptions.

Deployments
4 public, best grade B
Autonomy
Supervised agent
Cross industryBanking

AI agent for early collections and hardship support

A voice and messaging agent that contacts customers in early arrears to collect payments. It answers their inbound calls too, takes payments and sets up payment arrangements within preapproved rules, and recognizes signs of hardship or vulnerability so those customers go straight to a trained person.

Deployments
6 public, best grade B
Reported cost reduction
75%
SameDay Auto Finance, vendor claim
Energy and utilities

AI agent for EV charging driver support and charger troubleshooting

An AI agent for EV charging driver support answers the phone, chat and email contacts of drivers who cannot start or finish a charging session. It identifies the charger and session, checks its status in the charge point management system, runs remote actions such as ending a session, releasing a cable lock or resetting the charger, and hands the case to a person when the fault needs one.

Deployments
3 public, best grade C
Reported containment rate
about 70%
EVPassport, vendor claim
Cross industryTechnology and software

AI agent for identity and access review and certification

An AI agent that runs user access reviews, flags entitlements that differ from peers in similar roles, and leaves only the exceptions for a human reviewer. It pulls entitlement data from every connected application, scores each grant against the peer profile, groups or pre approves low risk, expected access, and keeps an audit ready record of every decision.

Deployments
5 public, best grade C
Reported cycle time reduction
75%
Sprout Social, vendor claim
Energy and utilities

AI agent for utility billing, payments, meter readings and move in or move out

An AI agent for utility billing and moves explains bills and tariffs, takes meter readings and manages payments and account moves for energy and water customers. It also handles move in and move out, including final reads and 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.

Deployments
13 public, best grade B
Median containment rate
69%
4 deployments
Energy and utilities

AI analytics for smart meter and AMI data

Smart meter analytics is AI that turns readings from smart electricity, gas and water meters into usable information for utilities, instead of treating every meter and customer the same way. 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 programs at the customers who will benefit most.

Deployments
5 public, best grade C
Autonomy
Assist
Energy and utilitiesManufacturing

AI for autonomous control of industrial plant processes

Autonomous plant process control is reinforcement learning AI that sets valves and setpoints in a running industrial plant, within the limits of its existing control and safety systems. It takes over loops that operators adjust by hand because PID control and advanced process control cannot hold them, so a process unit can use less steam, chemicals and power and need fewer manual interventions.

Deployments
5 public, best grade B
Median energy savings
18%
4 deployments
Cross industryBanking

AI for supplier invoice processing in accounts payable

AI supplier invoice processing is AI that captures supplier invoices in any format and extracts the header and line data. It matches invoices to purchase orders and goods receipts, proposes tax and cost center coding, flags duplicates and suspected fraud, and routes them for approval and posting, leaving only exceptions to accounts payable staff.

Deployments
10 public, best grade B
Median automation rate
70%
4 deployments
Energy and utilities

AI forecasting of wind and solar generation for grid balancing and trading

Renewable generation forecasting is AI that predicts how much power a wind or solar asset will generate over the next hours to a day ahead. It combines weather forecasts with historical turbine or panel output, so a grid operator or generator can commit to a delivery schedule instead of treating renewable output as unplannable.

Deployments
4 public, best grade B
Reported revenue uplift
about 20%
Google, organization claim
Energy and utilities

AI leak detection for water distribution networks

AI water leak detection is machine learning that analyzes acoustic sensor recordings, flow and pressure data or satellite imagery to find leaks in a water utility's pipe network. It points crews to likely leak locations, and it learns to tell a leak from background noise.

Deployments
4 public, best grade B
Autonomy
Assist
Energy and utilitiesManufacturing

AI predictive maintenance for industrial and energy assets

AI predictive maintenance is machine learning that learns the normal behavior of industrial and energy equipment and flags early signs of degradation before a failure. It works from sensor and process data, flags issues weeks or months ahead, and turns them into prioritized maintenance work, so plants and utilities plan repairs instead of reacting to breakdowns.

Deployments
12 public, best grade B
Autonomy
Assist
Cross industryBanking

AI quality and compliance monitoring of every customer interaction

Call quality and compliance monitoring is automated quality assurance that transcribes and scores every customer interaction, voice and chat, against the organization's own rubric. It checks required disclosures and script adherence, flags conduct and mis selling risk, and surfaces coaching opportunities, instead of the small sample a human QA team can review.

Deployments
12 public, best grade B
Reported quality score uplift
about 10%
British Gas, vendor claim
Cross industryManufacturing

AI quote and estimate generation from customer requirements

Sales quote and estimate generation is AI that turns a customer's product list, drawing, roof photo or request for quotation into a draft quote for a seller or estimator. It reads the input, matches items to the catalog, calculates quantities and applies the organization's price rules, and the seller or estimator then checks and sends it.

Deployments
4 public, best grade C
Reported handling time reduction
87.5%
Enpal, vendor claim
Energy and utilities

AI storm outage prediction and restoration staging for power grids

AI storm outage prediction is AI that predicts how many outages a coming storm will cause, where, and how severe restoration will be, for utility storm response teams. It combines weather forecasts, historical outage records and network data, so a utility can stage crews and mutual aid before the storm arrives instead of assessing damage after it hits.

Deployments
3 public, best grade B
Reported time to repair reduction
about 33%
Hydro One, vendor claim
Energy and utilities

AI vegetation management for power lines

Power line vegetation management is AI that analyzes imagery of the land along power lines to estimate where vegetation risks the lines, for utility crews. It uses satellite, aerial or lidar imagery to judge 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.

Deployments
5 public, best grade C
Autonomy
Copilot
Energy and utilities

AI wildfire smoke detection cameras for utilities

AI wildfire smoke detection is computer vision on tower cameras that spots early smoke, has a person confirm it, and alerts fire dispatch with a triangulated location. Utilities install the cameras near power lines and share the feeds with fire agencies, to find ignitions in remote areas before anyone calls 911.

Deployments
3 public, best grade B
Autonomy
Copilot

Free PDF playbook

AI use cases in energy and utilities: the playbook

17 use cases with deployments, value, playbooks and governance, in one document for your team.

What the evidence says

Computed from the 56 public deployments behind these use cases at energy and utilities organizations. Numbers update with every checked record.

Benchmarks with at least 3 pooled values

Benchmarks across Energy and utilities use cases
KPIMedianReported rangeData pointsClaimed by
Containment rate70%
55% to 75%
51 organization, 4 vendor
Business functions
AI patterns used
Deployments by stage
  • Announced
    1
  • Pilot
    7
  • Production
    38
  • Scaled
    10
Public deployments by region
  • Europe
    26
  • North America
    21
  • Middle East
    5
  • Asia Pacific
    3
  • Global
    1

Organizations with a public deployment

  • ADNOC
  • AmeriGas
  • Aramco
  • Arizona Public Service (APS)
  • Aydem Energy
  • Bear Valley Electric Service
  • Big West Oil LLC
  • British Gas
  • CenterPoint Energy
  • Citywatt
  • Consolidated Edison (Con Edison)
  • Dubai Electricity and Water Authority
  • Dubai Electricity and Water Authority (DEWA)
  • Duke Energy
  • E.ON
  • E.ON Grid Solutions
  • E.ON Next
  • EDF
  • ENGIE Belgium
  • EVPassport
  • Enpal
  • Entergy
  • Equinor
  • Essent
  • Fluvius
  • Hydro One
  • MAINGAU Energie GmbH
  • NV Energy
  • National Grid
  • National Grid Electricity System Operator
  • New Brunswick Power (NB Power)
  • Northumbrian Water
  • Octopus Energy
  • PNM
  • Pacific Gas and Electric Company
  • Portland General Electric (PGE)
  • Rajasthan Urja Vikas Nigam Limited (RUVNL)
  • SUEZ recycling and recovery UK
  • Shell
  • Southern California Gas Company (SoCalGas)
  • Tenaga Nasional Berhad (TNB)
  • Thames Water
  • Tokyo Electric Power Grid (TEPCO Power Grid)
  • Trinity Public Utilities District
  • VA SYD
  • Vattenfall
  • Veolia
  • Xcel Energy
  • Yorkshire Water
  • bp
  • evm
  • rhenag Rheinische Energie
  • swtch

The same use cases in other industries

46 public deployments at 46 organizations outside energy and utilities run these use cases too. They are not counted in the numbers above; each use case page shows them.

Other industries

Frequently asked questions

What are the most common AI use cases in energy and utilities?
Counted by energy and utilities organizations with a public deployment, the most common are AI agent for utility billing, payments, meter readings and move in or move out (13 organizations), AI predictive maintenance for industrial and energy assets (6 organizations), AI analytics for smart meter and AMI data (5 organizations), AI vegetation management for power lines (5 organizations) and AI leak detection for water distribution networks (4 organizations). The library documents 17 AI use cases in energy and utilities, 16 of them with a public deployment: 56 deployments by 53 organizations in 15 countries.
How many of these AI deployments are live in production?
48 of the 56 public deployments are live: 38 in production and 10 scaled across the organization. 7 are pilots and 1 are announced.
Which AI use cases in energy and utilities are high risk under the EU AI Act?
One use case falls in the high risk tier: AI quality and compliance monitoring of every customer interaction. For 9 other use cases the tier depends on design, for example whether the system decides on access to an essential service. Each use case page explains its tier and what it requires. This is not legal advice.
Where do these numbers come from?
From the Blits.ai AI Use Case Library. Every deployment is a public record of a named organization with a cited source, and every number is computed from those records. Data as of 11 November 2026.

Explore the library

State of AI in energy and utilities

Where AI runs in this industry, compared with the whole library.

EU AI Act in energy and utilities

Which of these use cases are high risk, and why.

All AI use cases

Search and filter the whole library.

State of AI Use Cases

Aggregate findings across every record.

KPI benchmarks

Definitions and reported values per KPI.

Methodology

How every record is verified and graded.