Travel and hospitality
Airline operations control decision support is AI that watches an airline's day of operation and predicts where weather, delays, crew limits or technical problems will break the plan. It proposes recovery options across aircraft, crew and passengers, such as retiming flights, swapping aircraft or holding a connection, with the cost and passenger impact of each, for controllers to approve.
Deployments: 3 public, best grade B
Autonomy: Copilot
Retail and ecommerce
Demand forecasting and replenishment is machine learning that forecasts demand for every item in every store or fulfillment center, day by day, and turns that forecast into automatic orders. It draws on sales history, promotions, prices, weather and local events, and places store and warehouse orders within limits set by planners, who handle the exceptions.
Deployments: 9 public, best grade B
Reported forecast accuracy: up to 40% (Aeon Retail, organization claim)
Travel and hospitality
Restaurant demand and labor forecasting is a machine learning model that predicts sales and guest traffic per restaurant, per daypart and often per menu item, for restaurant managers. It uses point of sale history, local events and weather, so managers can build staff schedules and prep lists against a forecast instead of a manual guess or last week's numbers.
Deployments: 5 public, best grade B
Reported forecast accuracy: 83% (McDonald's Georgia, vendor claim)
Media and entertainment
An AI dynamic paywall scores how likely each reader is to subscribe and uses the score to choose whether to show a paywall, which offer and which message. News publishers use it to grow subscriptions while keeping the advertising revenue of readers who are unlikely to pay, where a classic paywall applies one fixed rule to everyone.
Deployments: 4 public, best grade B
Reported conversion uplift: 92% (Financial Times, organization claim)
Retail and ecommerce
AI dynamic pricing and markdown optimization is AI that sets or recommends the regular price, promotion or markdown for every item in every store, for retail pricing teams. It draws on demand, cost, competitor prices, inventory and, for perishables, how close the item is to its best before date, so pricing analysts manage exceptions and strategy instead of spreadsheets.
Deployments: 12 public, best grade B
Autonomy: Supervised agent
Healthcare
Sepsis and deterioration early warning is AI that continuously scans a hospitalized patient's vitals, lab results, orders and clinical notes to flag early signs of sepsis or deterioration. It often does so hours before the change would otherwise be noticed and alerts a nurse or rapid response team to assess the patient. The system only alerts; it never orders a test or a treatment itself.
Deployments: 8 public, best grade B
Autonomy: Assist
Banking
A financial wellbeing coach is an in app AI assistant that customers open to understand their own money. It uses the customer's transaction data to explain their spending, forecast upcoming bills and cash flow, set and track savings goals and answer money questions in plain language, staying on the guidance side of the line between guidance and regulated financial advice.
Deployments: 10 public, best grade B
Autonomy: Supervised agent
Travel and hospitality
AI ground handling and turnaround optimization watches each aircraft turnaround in real time, often with computer vision, and alerts ground operations staff when a step falls behind. It uses cameras aimed at the gate and apron, covers fueling, catering, baggage, boarding and pushback, predicts the departure time as soon as the aircraft arrives, and raises the alert the moment a subprocess falls behind schedule, so staff can intervene before a small delay becomes a missed slot.
Deployments: 4 public, best grade C
Autonomy: Assist
Travel and hospitality
Airline fuel efficiency optimization is an AI system that analyzes flight data to coach pilots and flight operations engineers on fuel performance against a baseline. It analyzes fuel burn, routing, taxi procedure and auxiliary power unit use fleet wide, flags the highest value savings opportunities by route and procedure, and tracks the savings over time.
Deployments: 4 public, best grade C
Autonomy: Assist
Banking, Payments and cards
AML alert triage is machine learning and AI agents that score anti money laundering alerts for genuine risk, closing clear false positives with a written and stored rationale. It hands investigators the remaining alerts, already enriched with the customer, counterparty and transaction context.
Deployments: 8 public, best grade B
Reported false positive reduction: 86% (Shift4, vendor claim)
Banking, Payments and cards
Application and identity fraud detection is AI that checks incoming account and loan applications for banks and lenders to catch forgery and fraud rings. It analyzes documents, device and application data across the whole queue and cross checks against bureau and official sources to flag forged or AI generated documents, synthetic and stolen identities, and coordinated rings.
Deployments: 8 public, best grade B
Reported detection improvement: 2.5x (Department for Work and Pensions, organization claim)
Energy and utilities, Manufacturing
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)
Government and public sector
Benefit fraud and error detection uses risk models that help a social security or benefits agency decide which claims, payments and recipients to check for fraud or error. Caseworkers then verify the riskiest cases first, while every decision on entitlement stays with a person and the model is tested for fairness before and during use.
Deployments: 5 public, best grade B
Reported detection improvement: 2.5x (Department for Work and Pensions, organization claim)
Real estate, Cross industry
Building energy optimization is AI that continuously predicts a building's heating, cooling and ventilation needs and adjusts its systems in real time to use less energy. It changes setpoints, equipment sequencing and start times through the existing building management system, instead of following fixed schedules, so no person has to retune it by hand.
Deployments: 9 public, best grade C
Median energy savings, vendor reported: 15.8% (5 deployments)
Insurance
AI catastrophe exposure assessment is AI that turns satellite and geospatial data into a fast, portfolio wide view of which policies and properties are exposed to a catastrophe. It covers before and immediately after the event, so exposure managers and claims teams can quantify the loss, prioritize response and reach affected customers first, without waiting for ground surveys.
Deployments: 4 public, best grade B
Autonomy: Assist
Insurance
Claims triage and straight through processing is AI that reads each new insurance claim and its documents and scores its complexity, cover questions, fraud and recovery signals. It sends each claim to the right handling path and handler, and settles simple, low risk claims end to end within set limits without a person touching them.
Deployments: 12 public, best grade B
Reported automation rate: about 55% (Lemonade, organization claim)
Pharma and life sciences
AI that scores and ranks candidate investigator sites and countries for a planned clinical trial, so clinical operations teams choose sites more likely to meet enrollment targets on time. It ranks them by predicted enrollment speed, access to the eligible patient population and historical performance, and teams use the shortlist to activate sites instead of relying on which ones a study team happens to know.
Deployments: 7 public, best grade B
Reported cycle time reduction: 53% (ICON plc, organization claim)
Insurance
AI that reads incoming broker submissions for commercial insurance so underwriters open a complete, prioritized file instead of an inbox. It reads emails, applications, schedules of values, loss runs and supplements, extracts the risk data into a structured record, checks clearance and appetite, and enriches and ranks the risk with internal and third party data.
Deployments: 9 public, best grade B
Reported accuracy: about 98% (Paragon Insurance Group, organization claim)
Cross industry, Technology and software
AI that checks an organization's pay decisions for unexplained gaps by gender, race or other protected characteristics. It statistically analyzes pay data, and at the point a recruiter or manager sets a starting salary, a raise or a promotion increase, it checks the proposed number against pay bands and equity rules and flags a decision before it creates a new gap, instead of finding it in next year's audit.
Deployments: 9 public, best grade C
Reported cost reduction: 25% (Elevance Health, vendor claim)
Government and public sector, Logistics and transportation
AI customs risk targeting and container selection is machine learning that scores every import or export declaration for the risk it carries contraband, is misclassified or is undervalued. A customs administration sends physical inspection, scanning and detailed review only to the small share of containers, vehicles and parcels that need it; the rest clear without an officer touching them, and an officer reviews and acts on every high risk alert.
Deployments: 6 public, best grade B
Reported detection improvement: up to 8x (Korea Customs Service, organization claim)
Cross industry, Technology and software
Employee attrition prediction and retention analytics uses machine learning to score each employee's risk of resigning, for HR and managers. It scores that risk from HR, performance, engagement and compensation data, surfaces the factors driving it for a manager or HR business partner, and feeds an aggregate view of where attrition is concentrated, so retention effort goes to the people and teams most likely to leave instead of being spread evenly or applied only after someone resigns.
Deployments: 4 public, best grade B
Reported accuracy: about 95% (IBM, organization claim)
Telecommunications
Fibre network route and build planning is AI that turns geospatial survey data, existing infrastructure records and historical civil works costs into a proposed fibre route and a cost estimate. Planners spend less time drawing routes by hand and get a more consistent, defensible estimate before construction starts.
Deployments: 8 public, best grade B
Reported cycle time reduction: about 75% (Bonfire Fiber, organization claim)
Cross industry, Manufacturing
AI for FX exposure forecasting is a machine learning model that predicts a company's future foreign currency cash flows, so treasury can set hedges against a more accurate exposure number. Treasury still decides the hedge ratios, instruments and timing, and executes the trades.
Deployments: 2 public, best grade C
Reported forecast accuracy: 96% (ASML, organization claim)
Healthcare, Insurance
AI for healthcare claims fraud, waste and abuse detection reads healthcare claims and provider billing patterns to flag fraud, waste and abuse for a payment integrity investigator. It checks claims before or shortly after payment and sends every flag with its reasons to the investigator, while a narrow set of clear rule violations can be denied automatically before payment.
Deployments: 4 public, best grade B
Autonomy: Assist
Telecommunications
Home Wi-Fi experience optimization is AI in a broadband operator's gateway and cloud that measures Wi-Fi quality per device and fixes interference and congestion automatically, before customers call. It switches channels, steers devices between bands and prioritizes latency sensitive traffic, and gives support staff the device history when a call does arrive.
Deployments: 4 public, best grade C
Reported contact deflection: 25% (ACT Fibernet, vendor claim)
Insurance
Claims fraud detection is AI that scores every insurance claim for fraud from first notice of loss onwards, combining claim, policy, document, image and network data. It finds suspicious claims, organized rings and inflated losses, and sends each alert with its reasons to a claims handler or special investigations unit for review.
Deployments: 12 public, best grade B
Autonomy: Assist
Insurance
Renewal and retention AI prepares and runs the insurance renewal cycle, digitizing renewal submissions and changes in risk for underwriters and flagging policies at risk of lapsing or leaving. It also prepares the renewal conversation and answers customers' renewal questions, while renewal prices stay governed by the insurer's pricing rules and fair value obligations.
Deployments: 5 public, best grade B
Reported automation rate: 100% (JAGADIRI, vendor claim)
Insurance
AI for litigation and recovery triage scores open insurance claims and overdue accounts for the risk that they end up in litigation or formal legal recovery. It also ranks the attorneys, law firms or recovery agencies likely to get the best result, so a claims handler, legal panel manager or collections specialist can act early instead of after the case has already escalated.
Deployments: 4 public, best grade B
Reported cost reduction: 16% (Gallagher Bassett, organization claim)
Payments and cards, Technology and software
AI merchant underwriting and risk monitoring helps acquirers, payment facilitators and software platforms with embedded payments decide which merchants to accept and on what terms, and watch for risk afterward. It checks what a business really sells and how risky it is at onboarding, then watches every active merchant for changes in behavior, ranking the few that need an analyst so fraud, prohibited trade and credit losses are caught early.
Deployments: 8 public, best grade B
Reported alert volume reduction: about 89% (Weave Communications, vendor claim)
Telecommunications
AI network planning and capacity optimization is machine learning that forecasts where and when a mobile network will run out of capacity, for network planners. It recommends where to add cells, spectrum or hardware, and continuously tunes radio parameters so existing capacity carries more traffic, with planners approving investments and major changes.
Deployments: 9 public, best grade B
Reported cycle time reduction: at least 95% (Deutsche Telekom, organization claim)
Banking, Payments and cards
AI mule network detection uses graph and behavioral machine learning to find money mule accounts and the networks around them, for investigators. These include circular flows, layering chains and clusters of newly linked accounts, and the AI supports investigators in tracing scam proceeds and restricting accounts before the money is gone.
Deployments: 6 public, best grade B
Reported false positive reduction: 4x (bunq, vendor claim)
Insurance
AI for parametric claims triggering builds the index a parametric insurance policy pays against, then measures the triggering event itself, such as a wildfire's extent once it happens. The models are trained on historical, simulated and satellite or radar data, and their output lets a deterministic engine calculate and release the payout without an adjuster assessing the loss on site.
Deployments: 4 public, best grade B
Autonomy: Autonomous
Insurance
Photo based damage assessment is computer vision that assesses vehicle or property damage from photos or video for an insurance claim. The photos or video can come from the policyholder, a repairer or an adjuster. The AI identifies the damaged parts and the repair or replace decision, produces or checks the repair estimate, and flags total losses and inconsistencies for a person to review.
Deployments: 12 public, best grade B
Reported accuracy: 95% (Ping An Insurance (Group) Company of China, organization claim)
Telecommunications
Predictive network maintenance is machine learning that spots early signs of network failure and triggers a fix before customers lose service, for telecom operators. It watches for degrading cells, faulty customer equipment, aging hardware or planned digging near fibre, and triggers a preventive fix, a remote reset or a targeted intervention.
Deployments: 9 public, best grade B
Autonomy: Supervised agent
Telecommunications
RAN energy optimization is machine learning that cuts a mobile network's electricity use by putting radio equipment to sleep when demand is low. It predicts traffic per cell, puts carriers, cells and hardware components into sleep modes, and wakes them again before users notice, without losing coverage or quality.
Deployments: 8 public, best grade B
Reported energy savings: about 15% (Telkomsel, organization claim)
Cross industry, Government and public sector
Recruitment screening and scheduling is AI that answers candidates' questions, collects applications in conversation and books interview slots for a recruiter to review. Where the organization chooses, it also assesses applications against the job requirements, but the recruiter makes every selection decision. In the EU, the screening part is a high risk AI system under Annex III point 4 of the AI Act.
Deployments: 8 public, best grade B
Reported cycle time reduction: about 90% (Mastercard, organization claim)
Government and public sector
Inspection prioritization is AI that predicts which premises, operators or activities are most likely to be non compliant, to target inspectors' visits where the risk is highest. It is used across food safety, workplace safety, environmental and other regulation, ideally with inspectors still choosing visits and random inspections testing the model.
Deployments: 10 public, best grade B
Autonomy: Assist
Banking, Payments and cards
Sanctions screening adjudication is AI that works the alerts raised when customer, counterparty or payment names match sanctions and watchlists. It resolves fuzzy matches across transliterations, aliases and naming conventions, clears clear non matches with a documented reason, and escalates true or uncertain hits with the evidence attached.
Deployments: 8 public, best grade B
Reported automation rate: about 33% (Emirates NBD, organization claim)
Capital markets, Banking
Settlement fail prediction is AI that scores each pending securities settlement instruction for its likelihood of failing and names the probable cause. The cause can be an unmatched instruction, wrong settlement details, or a lack of securities or cash. It then helps operations teams work the exceptions and counterparty queries before the intended settlement date, so fewer trades fail and fewer late settlement penalties are paid.
Deployments: 4 public, best grade B
Autonomy: Copilot
Insurance
AI subrogation detection is AI that reads open and closed claims to find cases where a third party is wholly or partly liable. It estimates liability and the recoverable amount under the applicable negligence and recovery rules, and sends scored recovery opportunities with their reasons to the subrogation team.
Deployments: 3 public, best grade B
Autonomy: Assist
Government and public sector
Tax compliance risk scoring is AI that scores tax returns, taxpayers and transactions for the risk of error, underreporting or fraud, for a tax administration. It directs audit and compliance capacity to the highest risk cases, while an officer decides every compliance action and the selection itself is monitored for fairness.
Deployments: 6 public, best grade B
Autonomy: Assist
Telecommunications
AI churn prediction and retention is AI for telecom operators that scores each subscriber's risk of leaving from usage, service, billing and contact signals. It explains the likely reason and chooses the next best retention action, such as fixing a problem, adjusting a plan or making an offer, delivered through the app, messaging, an agent or an advisor within approved offer budgets.
Deployments: 5 public, best grade B
Reported churn reduction: 20% (Telenet, vendor claim)
Telecommunications
Telecom fraud detection is AI that protects an operator's network, revenue and numbers from fraud by watching call, messaging, roaming and account activity. It detects SIM swap and port out takeovers, international revenue share fraud (IRSF) and Wangiri one ring scams, blocks or flags them in real time, and shares risk signals with banks and other businesses that rely on the phone number for security. Scam calls aimed at subscribers are handled by call blocking.
Deployments: 4 public, best grade B
Reported detection improvement: 30% (Vodafone, organization claim)
Energy and utilities
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)
Cross industry, Manufacturing
An internal talent marketplace is an AI platform that infers employees' skills and interests and recommends short term projects, open roles, mentors and learning to them. It also shows managers which employees fit an opportunity, so that work is staffed from inside before hiring or contracting externally.
Deployments: 6 public, best grade B
Autonomy: Assist
Energy and utilities
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
Retail and ecommerce, Travel and hospitality
AI loyalty personalization is AI that picks the offer, reward or message for each member of a retail, restaurant or travel loyalty program, inside the program's published rules. It unifies a member's profile across channels and predicts who is about to lapse, so each member gets a tailored action instead of the same blanket discount or point multiplier, and what a member has earned stays unchanged.
Deployments: 4 public, best grade B
Reported conversion uplift: 2x (Panera Bread, vendor claim)
Cross industry, Travel and hospitality
AI marketing personalization at scale is AI that decides, for each customer, which product, offer, message or content to show next, for a marketing team running many campaigns. It works across email, app, web and paid media, and generates the matching copy and creative variants within brand and compliance rules. It is the team's engine across many campaigns and channels, not an agent that converses with the customer.
Deployments: 9 public, best grade B
Reported conversion uplift: 30% (Catchtable, vendor claim)
Banking, Real estate
A mortgage underwriting decision engine is AI that reads a loan file, applies the lender's and investors' guidelines, and returns an approve, refer or open conditions status for each loan. It sits above document and income checks, and underwriters handle the files it refers.
Deployments: 4 public, best grade B
Reported productivity gain: about 50% (NEO Home Loans, vendor claim)
Pharma and life sciences
An AI drug discovery platform is an AI native research platform that prioritizes disease targets from biological data and generates and optimizes candidate drug molecules computationally. It also predicts the molecules' properties before a chemist synthesizes and tests them, so a pharmaceutical or biotech company reaches a validated preclinical candidate with far fewer molecules made and tested than a conventional medicinal chemistry program.
Deployments: 9 public, best grade B
Reported cycle time reduction: about 60% (Insilico Medicine, organization claim)
Wealth and asset management, Banking
AI next best action for advisors is an engine for wealth advisors, not customers, that scans an advisor's whole book and surfaces a short, ranked list of client specific prompts. Prompts include idle cash, a maturing deposit, a concentration to review, a life event or an early sign of attrition, each with the reasoning and data behind it, for the advisor to act on or dismiss.
Deployments: 5 public, best grade B
Reported employee adoption: at least 90% (Morgan Stanley, organization claim)
Retail and ecommerce
AI order fraud screening decides, at the moment an online order is placed, whether to accept it, hold it for review or decline it, for an online retailer or marketplace. It draws on the buyer's device, behavior, identity and order history, so genuine orders are approved quickly and fraudulent ones are stopped before they ship, often backed by a vendor guarantee against the chargebacks that slip through.
Deployments: 9 public, best grade C
Reported revenue uplift: 6% (Mango, vendor claim)
Logistics and transportation
Port call and vessel operations optimization is AI that predicts a vessel's arrival time and how long each port call service will take, for ships, terminals and nautical service providers. It covers every step from pilotage to loading, shares one timeline with all parties, and lets a vessel sail at the speed that gets it there just in time instead of arriving early and anchoring.
Deployments: 3 public, best grade C
Reported cycle time reduction: 20% (Port of Rotterdam Authority, organization claim)
Wealth and asset management, Banking
Portfolio drift monitoring and rebalancing is AI that continuously checks each client portfolio against its mandate or model and prepares a rebalancing proposal, for advisors and portfolio managers. It detects drift beyond agreed bands and prepares a tax aware, low turnover proposal with its rationale, which an advisor or portfolio manager approves before any trade is placed.
Deployments: 3 public, best grade B
Autonomy: Copilot
Education
Student retention analytics is a predictive model that scans each enrolled student's academic and engagement data daily to alert an advisor when a student drifts off track. It checks a broad set of risk factors, such as a failing grade in a required course, a missed registration deadline or disengagement, and triggers a timely, personal outreach so a person follows up while there is still time to help.
Deployments: 5 public, best grade C
Autonomy: Supervised agent
Travel and hospitality
Aircraft predictive maintenance is AI that continuously analyzes aircraft sensor and flight data to flag a developing technical fault before it grounds an aircraft. This lets an airline's engineering team fix it on a scheduled visit instead of an unplanned aircraft on ground (AOG) event, shifting maintenance planning from reacting to a fault message or a crew reported defect to predicting the issue from data patterns before it occurs.
Deployments: 6 public, best grade B
Autonomy: Assist
Logistics and transportation
AI predictive maintenance for freight rail rolling stock is machine vision and machine learning that inspect freight railcar wheels, bearings and other running gear. As trains pass wayside sensors and camera portals at track speed, it learns what a healthy wheel or reading looks like and flags the ones that need attention before a crack, an overheating bearing or a worn wheel causes a service failure or a derailment.
Deployments: 3 public, best grade B
Autonomy: Assist
Energy and utilities, Manufacturing
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
Government and public sector
Propensity to pay scoring is a machine learning model that estimates how likely each debtor is to pay, or to miss an upcoming payment, so collectors can pick the cases and contact approach. The score orders worklists and selects the letters, calls or support a debtor receives, while people still decide on payment plans, enforcement and write offs.
Deployments: 4 public, best grade B
Reported accuracy: 86% (Department for Work and Pensions, organization claim)
Media and entertainment
AI content recommendation and personalization decides what to show each viewer or listener next on a home page, in search or in a personalized playlist. It learns from that person's own viewing or listening history, ratings and context, updates continuously as new content is added and behavior changes, and ranks only the catalog's own content, not marketing offers or campaigns.
Deployments: 5 public, best grade B
Autonomy: Autonomous
Pharma and life sciences
AI batch record and deviation review reads and correlates batch records, sensor data and quality certificates from a pharmaceutical manufacturing line to flag quality deviations. It compares each new batch against a profile of the best performing past batches and flags the process parameters and deviations that explain a change in yield or quality, so manufacturing science and quality teams can act on a cause instead of reading records line by line after the fact.
Deployments: 4 public, best grade B
Reported cost reduction: 2% (Recordati, vendor claim)
Government and public sector
Child welfare risk scoring is a predictive model that scores a family's risk in the child welfare system from case history and administrative data. It gives staff a consistent, data informed signal alongside their own judgment. At referral it helps a call screener and supervisor decide whether to open an investigation; early in an open case it helps a supervisor and social worker decide how to respond. It informs, not makes, the decision.
Deployments: 2 public, best grade B
Autonomy: Assist
Logistics and transportation, Retail and ecommerce
AI route optimization is software that plans which vehicle serves which stops, in what order and with what load, to cut miles, cost and late deliveries. It takes the day's orders, vehicle capacities, delivery windows and estimated travel times, produces the routes overnight, and in newer versions replans during the day as traffic and orders change.
Deployments: 5 public, best grade B
Autonomy: Copilot
Banking, Payments and cards
Scam payment interception is AI that talks to a customer who is about to authorize an instant payment that looks like a scam. It combines the payee check and the risk score, asks targeted questions about the payment in plain language, explains the specific scam pattern, and holds, delays or escalates the payment to a human specialist when the risk stays high. Unlike fraud scoring, which stops payments the customer did not make, it protects customers from payments they are being manipulated into making.
Deployments: 7 public, best grade B
Median fraud loss reduction: 40% (3 deployments)
Education, Government and public sector
AI scoring of written responses is AI that scores students' essays and short written answers against a rubric for a testing program. It is trained on responses scored by human raters, with human raters rescoring a sample of responses and every response the engine is unsure about; in hybrid programs such as Texas, a human score is the score of record whenever a human scores a response.
Deployments: 3 public, best grade B
Autonomy: Supervised agent
Retail and ecommerce
AI size and fit recommendation tells an online shopper which size of a garment or shoe to buy, based on how the item fits and the shopper's history. It draws on the item's measured fit, the shopper's purchase and return history and, optionally, body measurements. It aims to prevent the returns that wrong sizes cause and to raise conversion.
Deployments: 4 public, best grade B
Median error reduction: 4% (3 deployments)
Telecommunications
Spam and scam call blocking is AI in the operator's network that protects subscribers from unwanted calls by analyzing incoming calls in real time. It blocks known fraudulent calls and labels suspected scam, spam and spoofed calls on the customer's screen before they answer, so subscribers can decide whether to pick up. Fraud against the operator itself, such as SIM swap or revenue share fraud, is a separate use case.
Deployments: 6 public, best grade B
Autonomy: Autonomous
Energy and utilities
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)
Insurance
Straight through cyber underwriting is AI that scans a small business's external footprint, scores its cyber risk and issues a bindable quote without an underwriter touching it. Flagged or large risks are referred to an underwriter, and the corrections underwriters make can be used to retrain the model.
Deployments: 4 public, best grade B
Reported cycle time reduction: 50% (Coalition, organization claim)
Cross industry, Manufacturing
Supplier discovery AI searches large supplier data sets for companies able to supply a requirement, profiles them and builds a longlist and shortlist for buyers. A buyer reviews the list, invites suppliers to an RFI or RFQ and makes the selection.
Deployments: 4 public, best grade C
Reported productivity gain: 95% (Linde Engineering, vendor claim)
Automotive, Manufacturing
Supply chain disruption monitoring is AI that watches transport lanes, weather, strikes, ports and a manufacturer's own suppliers' suppliers for signs of a coming disruption. It turns scattered news and sensor signals into one validated alert per event, giving planners enough lead time to reroute, expedite or substitute before the disruption reaches production or the customer.
Deployments: 8 public, best grade C
Reported productivity gain: at least 50% (Schaeffler, vendor claim)
Government and public sector, Healthcare
AI support for emergency call triage helps 112 and 911 call takers and dispatchers handle emergency calls as they happen. It gives live transcription, translation, summaries, location cues and alerts for critical conditions such as cardiac arrest, while the call taker keeps every triage and dispatch decision.
Deployments: 7 public, best grade B
Autonomy: Assist
Real estate, Banking
AI property valuation support, most often an automated valuation model, estimates a property's market value from comparable sales, characteristics and location data. It either offers to replace a full appraisal within set limits, or gives a professional valuer a first pass estimate, the closest comparable sales and a reliability score, so the valuer's time goes to properties that need a person's judgment.
Deployments: 8 public, best grade A
Autonomy: Supervised agent
Education
AI admissions application review is software that reads parts of a university application, such as essays or grades and activities, and gives staff a score or recommendation; people still decide admission. It speeds up the first read of a very large pool and applies one rubric to every file.
Deployments: 4 public, best grade B
Reported accuracy: 88% (Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, organization claim)
Real estate
AI tenant screening scores how likely a rental applicant is to pay rent reliably, helping a landlord decide whether to accept, decline or ask for a higher deposit. The machine learning model draws on credit, rental payment history, eviction records and income, and is built and operated so the score and the process around it do not produce a disparate impact on people protected by fair housing law.
Deployments: 6 public, best grade C
Autonomy: Supervised agent
Manufacturing, Retail and ecommerce
Trade promotion optimization is AI that plans and prices the trade promotions, discounts, displays and rebates a consumer goods manufacturer runs with retailers. It forecasts the volume each promotion mechanic would generate and searches the combinations of timing, depth and mechanic that best meet a revenue, profit or volume target, for a key account manager to review and agree with the retailer.
Deployments: 2 public, best grade B
Autonomy: Copilot
Government and public sector
Case admissibility and selection triage is AI that reads an incoming appeal or petition at a supreme or constitutional court and classifies it by legal theme. It suggests whether the case belongs with others already grouped for combined resolution or should go to full review, so staff and justices spend time on the judgment, not sorting the docket by hand; a person confirms every classification before it affects a case.
Deployments: 4 public, best grade B
Reported accuracy: 85% (Supremo Tribunal Federal, organization claim)
Payments and cards, Banking
BNPL underwriting is AI that scores a buy now pay later purchase at checkout in real time to approve, decline or size the credit line. It scores the consumer and the specific order from bureau, transaction and behavioral data, with no human review per transaction, and keeps retraining as repayment outcomes come in.
Deployments: 3 public, best grade B
Reported conversion uplift: 3.4% (Affirm Holdings, organization claim)
Energy and utilities
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
Retail and ecommerce
AI workforce scheduling for retail stores builds staff schedules from forecast sales, foot traffic, labor rules and each employee's preferences and skills for a store manager. The manager gets a compliant, demand matched schedule quickly, and only has to handle exceptions such as a late call out or a disputed shift swap.
Deployments: 4 public, best grade C
Reported employee adoption: 100% (SMCP North America, vendor claim)
Banking, Payments and cards
Dynamic customer risk rating is explainable machine learning that computes and continuously updates each customer's money laundering risk rating itself, from due diligence data, products, geography, behavior and screening results. It also shows which factors drive the rating and when enhanced due diligence is warranted.
Deployments: 1 public, best grade B
Autonomy: Supervised agent
Banking, Payments and cards
Real time fraud scoring is machine learning that decides in milliseconds how likely each card authorization and account to account payment is to be fraudulent, so a bank can act. It works without any conversation, combining behavioral, device and network signals, so the bank can approve, challenge or block a payment before the money leaves. Working the resulting alerts and talking to the customer about them are separate use cases.
Deployments: 12 public, best grade B
Median fraud loss reduction: 30% (3 deployments)
