449 organizations in 45 countries run these use cases in public. 63% of those 493 deployments disclose a measurable outcome.
Telecommunications
Autonomous network operations use AI agents that run closed loops over a telecom network, taking an intent from the operator and acting to meet it. For example, given a latency or availability target, the agents observe the network, diagnose deviations and execute corrective actions across radio, transport and core, within guardrails set by engineers and with human approval for major changes.
Deployments
10 public, best grade B
Reported cycle time reduction
at least 95%
Deutsche Telekom, organization claim
Cross industryManufacturing
AI candidate sourcing and talent rediscovery is AI that builds and works the candidate pipeline before an application arrives, for recruiters filling open roles. It matches open roles against a company's own past applicants sitting unused in the applicant tracking system, ranks and surfaces the best fits for a recruiter to approach, and optimizes career site content and outreach to attract more of the right applicants, instead of a recruiter starting each search from an empty external search or a job board.
Deployments
3 public, best grade C
Reported cycle time reduction
30%
AtkinsRéalis, vendor claim
Cross industryTechnology and software
An AI agent that continuously manages an organization's cloud spending to cut waste. It reads usage and billing data, uses machine learning to separate normal spend from waste, and either rightsizes resources and buys a mix of committed capacity matched to forecast usage on its own within set limits, or proposes higher risk changes for an engineer to approve.
Deployments
7 public, best grade C
Median cost reduction
50%
5 deployments, 1 "up to" value left out
Automotive
AI dealer service retention is an AI agent that reaches vehicle owners by text or email when service is due and books the appointment in that conversation. It continuously mines a dealer's service records for each vehicle's factory intervals, declined work, open recalls and lapsed visits, and answers what is due, so a lean service team keeps more of the visits it would otherwise lose to time or a competitor.
Deployments
5 public, best grade C
BankingPayments and cards
AI fraud alert triage is an AI agent that works a fraud alert queue behind the scenes as an analyst's first pass, without contacting the customer. It enriches each alert with customer, device and payment context, closes clear false positives under documented rules, merges duplicates, and routes genuine risk to an analyst with a drafted rationale.
Deployments
3 public, best grade C
Reported false positive reduction
at least 50%
Kinecta Federal Credit Union, vendor claim
Logistics and transportation
An AI freight dispatch and load matching agent coordinates moving a truckload for freight brokers and carriers. It reads an emailed quote request and replies with a price, ranks which loads to show which carriers, matches pickup and delivery details to an open dock appointment slot, and chases exceptions, so staff plan lanes and handle disputes instead of manual quoting and appointment calls.
Deployments
3 public, best grade B
Reported conversion uplift
12%
Uber Freight, organization claim
Cross industryHealthcare
An AI agent for outbound reminders and confirmations contacts customers about something they already booked or ordered, to remind them and confirm attendance. That can be an appointment, a delivery, a reservation or a service visit, and the agent lets them cancel or move it in the same conversation, by phone, SMS, WhatsApp or email. This is operational service outreach, not marketing: nothing is sold, and success is measured in kept appointments and reused slots, not in conversion.
Deployments
4 public, best grade B
Cross industryTechnology and software
An AI agent for outbound sales prospecting researches target accounts and contacts, and drafts personalized outbound outreach for a sales team. It writes the emails, LinkedIn messages and call scripts from the campaign, the prospect's context and the sales goals, and sequences the follow ups, with a sales development rep approving or sending every message.
Deployments
7 public, best grade C
Healthcare
An AI agent for patient scheduling and reminders books, moves and cancels patient appointments by phone and messaging, and reminds and confirms patients. It follows the provider's scheduling rules (referral, triage level, clinician and visit type, preparation), confirms and reminds patients in two way conversations, predicts who is likely to miss an appointment, and offers freed slots to patients on the waiting list. Unlike a general branch and appointment booking agent, it writes into the electronic health record and must respect clinical constraints, so anything clinical goes to staff.
Deployments
9 public, best grade B
Reported containment rate
30%
Howard Brown Health, vendor claim
BankingPayments and cards
AI offers and rewards is a customer facing agent for banks and card issuers that picks the offer, reward or loyalty action most relevant to each customer at each moment. It draws on the customer's transactions and context, delivers the offer in the app, in messaging or through a colleague, helps the customer understand, track and redeem rewards in conversation, and works inside their own account and loyalty relationship, unlike campaign personalization.
Deployments
3 public, best grade B
Wealth and asset managementCapital markets
AI analysis of earnings calls and company text reads earnings call transcripts, filings and other unstructured disclosures at scale to produce an investment signal for a portfolio manager or analyst. The underlying large language model, either fine tuned or prompted within a structured scoring framework, scores a company on a dimension such as business quality or exposure to a market theme, or forecasts how markets will react to what was said, so the signal is systematic and repeatable to weigh alongside traditional quantitative data.
Deployments
2 public, best grade B
Energy and utilities
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 programmes at the customers who will benefit most.
Deployments
5 public, best grade C
Capital marketsWealth and asset management
AI deal sourcing and due diligence is an AI assistant that screens the market for acquisition or investment targets and speeds up due diligence for a deal team. It builds company profiles, reads data room documents, extracts key terms and risks, and drafts the investment or diligence memo, for the team to verify and decide.
Deployments
6 public, best grade B
Reported productivity gain
up to 80%
Datasite, vendor claim
BankingCross industry
AI cash flow forecasting for corporate treasury is machine learning that categorises a company's cash flows and forecasts its cash positions across accounts and currencies for the treasury team. Conversational analytics can sit on top of it. Some banks offer it inside their cash management platforms, where it also answers treasurers' questions in plain language, so the team decides on funding and idle balances with better information and less spreadsheet work.
Deployments
7 public, best grade B
Reported productivity gain
about 90%
JPMorgan Chase, organization claim
Banking
SME cash flow underwriting is an underwriting engine that assesses a small business's repayment capacity from live bank transactions and payment flows, instead of audited accounts, for lenders. It also draws on point of sale data, receivables and accounting data, and returns a decision recommendation with the evidence and reasons behind it.
Deployments
7 public, best grade B
Healthcare
An AI command center for hospital bed and staff capacity planning predicts patient admissions, discharges and transfers, and helps a team of coordinators sequence bed assignments, staffing and moves. The coordinators sit in one room and act on real time predictions across a hospital or health system, so patients get into the right bed faster and existing capacity is used fully without adding beds.
Deployments
7 public, best grade B
Median cycle time reduction
34%
7 deployments
Telecommunications
A field technician copilot is AI that decides whether a fault needs a site visit at all and predicts what work and parts the job will need. It also helps plan and update appointments, and gives technicians on site guided diagnosis and instant answers from manuals and past jobs, so more jobs are fixed on the first visit.
Deployments
4 public, best grade B
Travel and hospitality
A hotel revenue management copilot is an employee facing AI system that forecasts hotel demand and recommends or automatically adjusts room prices within limits a revenue manager sets. It forecasts demand for a hotel or portfolio by date, room type and segment, also adjusts availability controls, and scores group and event enquiries for true profitability, so a small revenue team can run pricing that used to need daily manual adjustment in the property management system.
Deployments
8 public, best grade C
Median revenue uplift
25.2%
4 deployments
Insurance
An insurance pricing and actuarial copilot is AI that speeds up the work of pricing and actuarial teams, from risk and demand model building to natural language analysis of data. It builds automated, transparent risk and demand models and analyzes rate filings, experience data and reserving diagnostics, while actuaries select the models, sign off the rates and own the professional judgment.
Deployments
9 public, best grade B
Reported productivity gain
5x
Generali France, organization claim
AutomotiveManufacturing
AI production scheduling and sequencing is AI that continuously resequences production orders and material flow between lines as conditions change, flagging conflicts and proposing changes for a human to approve. This includes routing parts and transfer carts and resequencing the order list at a line, triggered by events such as a machine going down, a rush order or a late part. A planner or operator no longer works out the sequence by hand.
Deployments
2 public, best grade B
Reported productivity gain
about 86%
Hyundai Motor Group, organization claim
BankingPayments and cards
Alternative data credit scoring is a machine learning model that adds consumer permissioned data to credit bureau data, so a lender can assess applicants with thin or no credit files. The alternative data includes bank account cash flow, rent, utility and telco payments or ecosystem data, and the model returns a decision with specific reasons.
Deployments
8 public, best grade B
Reported automation rate
at least 90%
Upstart Holdings, organization claim
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
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
2 public, best grade C
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
11 public, best grade B
Healthcare
Sepsis and deterioration early warning is AI that continuously scans a hospitalized patient's vital signs, 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
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
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
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
2 public, best grade C
BankingPayments 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
BankingPayments 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 analyses 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
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 estateCross 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
3 public, best grade C
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
11 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
6 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 industryTechnology 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 sectorLogistics 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
2 public, best grade B
Cross industryTechnology 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
2 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
HealthcareInsurance
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
3 public, best grade B
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, organised 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
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
3 public, best grade B
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
2 public, best grade B
Payments and cardsTechnology 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 behaviour, 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
BankingPayments and cards
AI mule network detection uses graph and behavioural 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
2 public, best grade B
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, ageing hardware or planned digging near fibre, and triggers a preventive fix, a remote reset or a targeted intervention.
Deployments
9 public, best grade B
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 industryGovernment 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
8 public, best grade B
BankingPayments 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
7 public, best grade B
Reported false positive reduction
60%
United Overseas Bank (UOB), organization claim
Capital marketsBanking
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
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
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
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 industryManufacturing
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
Cross industryTravel 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
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 managementBanking
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
80%
UBS, 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, behaviour, 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 managementBanking
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
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, not just a data point, follows up while there is still time to help.
Deployments
5 public, best grade C
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
5 public, best grade B
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
Energy and utilitiesManufacturing
AI predictive maintenance is machine learning that learns the normal behaviour 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 prioritised maintenance work, so plants and utilities plan repairs instead of reacting to breakdowns.
Deployments
10 public, best grade B
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
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
BankingPayments and cards
Scam payment interception is AI that talks to a customer who is about to authorise 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
EducationGovernment and public sector
AI scoring of written responses is AI that scores students' essays and short written answers against a rubric for a testing programme. 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 programmes such as Texas, a human score is the score of record whenever a human scores a response.
Deployments
3 public, best grade B
Telecommunications
Spam and scam call blocking is AI in the operator's network that protects subscribers from unwanted calls by analysing 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
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
AutomotiveManufacturing
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 sectorHealthcare
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
Real estateBanking
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
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
ManufacturingRetail 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
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
2 public, best grade B
Reported accuracy
85%
Supremo Tribunal Federal, organization claim
Payments and cardsBanking
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
2 public, best grade B
Reported conversion uplift
3.4%
Affirm Holdings, organization claim
Energy and utilities
Power line vegetation management is AI that analyses 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
Retail and ecommerce
AI workforce scheduling for retail stores builds staff schedules from forecast sales, foot traffic, labour 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
3 public, best grade C
Reported employee adoption
100%
SMCP North America, vendor claim
BankingPayments 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, behaviour and screening results. It also shows which factors drive the rating and when enhanced due diligence is warranted.
Deployments
1 public, best grade B
BankingPayments 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 behavioural, 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
11 public, best grade B
Median fraud loss reduction
30%
3 deployments
