303 organizations in 41 countries run these use cases in public. 64% of those 324 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 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
Cross industryTechnology and software
AI data quality monitoring is an AI agent that watches data pipelines and tables continuously and flags anomalies before they reach a dashboard or a downstream model. It uses machine learning to learn the normal pattern of freshness, volume, schema and distribution for each one, and traces the lineage back to the change that caused an anomaly so an engineer can fix the source, not just the symptom.
Deployments
8 public, best grade C
Median time to repair reduction, vendor reported
20%
3 deployments
Telecommunications
AI network outage communication is an agent that turns network alarms into a clear picture of which customers are affected by an outage and why. It proactively tells those customers by message, app or phone, giving a cause and an estimated fix time, answers their questions during the incident, and updates them until service is restored.
Deployments
1 public, best grade B
Cross industryPharma and life sciences
A travel and expense audit agent is an AI agent that checks every travel and expense report line against policy, for auditors. It checks receipts and prior submissions instead of a small manual sample, flags duplicates, altered receipts and policy violations with the evidence attached, and auto approves the clean majority so auditors spend their time on the reports that are genuinely risky.
Deployments
8 public, best grade C
Median automation rate, vendor reported
72%
3 deployments
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
Education
Exam and assessment integrity AI supports the integrity of a remote, high stakes exam by verifying a test taker's identity and watching for signs of cheating. It analyses behaviour such as typing patterns, facial matching and session activity for signs of impersonation or unauthorized help, and flags sessions for a trained human reviewer to decide, rather than letting a model issue an automated finding of misconduct on its own.
Deployments
3 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
Retail and ecommerceManufacturing
Store and shelf monitoring is computer vision, on cameras, shelf edge sensors or autonomous robots, that scans store shelves for gaps, misplaced items and wrong prices. It turns what it sees into a prioritised task list for store staff or field sales representatives, so out of stock and shelf compliance problems are caught within hours instead of at the next manual walk.
Deployments
8 public, best grade B
Reported revenue uplift
7%
GoGo SqueeZ, vendor claim
Technology and softwareMedia and entertainment
AI content moderation for trust and safety scans user generated content, such as live video, images, chat and audio, against an online platform's policy in real time. It removes or hides the clearest violations and routes borderline cases to a human moderator with its reasoning attached, so the platform can review far more content than a human team alone while keeping irreversible decisions with a person.
Deployments
3 public, best grade C
BankingInsurance
AI model risk validation is a copilot that supports independent review of a bank's models, used by a validation function, an external tester or a supervisor. It checks model documentation against the model risk standard, generates and scores challenger tests (for generative AI, often with an LLM as a judge calibrated against human experts), watches production models for drift, and drafts and consistency checks the validation report. An accountable validator owns every conclusion.
Deployments
3 public, best grade B
Telecommunications
AI copilot for network operations centre fault triage correlates network alarms and performance data into a small number of probable faults for engineers. It draws on radio, transport, core and fixed network data, ranks faults by customer impact, proposes the likely root cause and fix from runbooks, vendor documentation and past tickets, and routes the ticket to the right team, while an engineer decides what to change.
Deployments
8 public, best grade B
Reported cycle time reduction
at least 95%
Deutsche Telekom, organization claim
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
Banking
AI early warning and covenant monitoring is a monitoring system that flags borrowers whose credit is deteriorating across a loan book, for the relationship manager. It tracks covenant tests and borrower reporting, reads financials, filings and news, and combines them with payment and sector signals, then presents the evidence with a suggested next step.
Deployments
4 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
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
Cross industryManufacturing
AI cash application is AI that reads remittance advices in many formats and matches incoming customer payments to open receivable invoices for accounts receivable teams. It proposes deduction and short pay reason codes from prior resolutions and routes only the genuine exceptions to an analyst, so the sub ledger clears itself for the clean majority of payments.
Deployments
5 public, best grade C
Median automation rate, vendor reported
96%
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
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
Real estate
AI construction progress tracking matches site photos to the schedule and BIM model to show what is actually built, for site teams and owners. The photos are captured with a hardhat mounted camera on regular site walks and compared with planned tasks and quantities, so teams see where trades are behind and where installed work does not match the design, without walking the site by hand.
Deployments
2 public, best grade C
Reported productivity gain
95%
Layton Construction, vendor claim
Cross industryBanking
AI continuous controls testing checks every transaction or record against a control's rule instead of a periodic sample, giving continuous, full population assurance. It collects evidence from source systems, maps each artefact to the control it supports, flags exceptions for a human to judge, and prepares the risk and control self assessment from incident and loss data for the business to review.
Deployments
3 public, best grade B
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
BankingPayments and cards
Fee and interest leakage detection is an independent verification layer that checks whether each fee, FX margin, spread and interest charge matches what the contract and pricing tables specify. It recomputes what each charge should have been, compares it with what was actually billed, and surfaces overcharges and undercharges account by account for correction, customer remediation and revenue recovery.
Deployments
1 public, best grade B
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
Cross industryBanking
AIOps incident triage is AI that turns a flood of monitoring alerts into one probable incident and routes it to the right team. It also proposes likely root causes and remediation from runbooks and past incidents, and drafts the stakeholder updates and the post incident review, while an engineer authorizes every change.
Deployments
9 public, best grade B
Median time to repair reduction
72%
5 deployments
BankingPayments and cards
AI for ledger and payment reconciliation matches financial records to each other and flags the exceptions for a human to review. It matches entries across nostro and vostro statements, card and scheme settlement files, the general ledger and suspense accounts, proposes the matches and clearing journals, and routes only the genuine breaks to an operator with a plain language explanation.
Deployments
7 public, best grade B
Reported automation rate
about 95%
Capital Area Food Bank, vendor claim
Capital marketsBanking
AI market abuse surveillance triage helps surveillance analysts triage market abuse and conduct alerts such as spoofing, layering, wash trades, ramping and insider dealing. It gathers the trade, order, news and communications context, explains in plain language what triggered each alert, and drafts the investigation narrative for the analyst to disposition.
Deployments
5 public, best grade B
Reported handling time reduction
about 33%
Nasdaq, organization claim
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
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
BankingInsurance
Regulatory report assembly is AI that assembles periodic and data driven filings and returns, pulling data into the regulator's schema and validating it, before a named officer reviews and submits. Examples include prudential and statistical returns, threshold and transaction reports and disclosure packs. It also reconciles figures to source, explains movements against prior periods and drafts commentary; narratives for individual suspicious activity cases are a separate use case.
Deployments
5 public, best grade B
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
Cross industryBanking
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 centre coding, flags duplicates and suspected fraud, and routes them for approval and posting, leaving only exceptions to accounts payable staff.
Deployments
9 public, best grade B
Median automation rate
70%
4 deployments
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
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
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
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
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
Healthcare
AI radiology worklist triage analyzes a medical image right after a scan and flags time sensitive findings, so the most urgent cases are read and acted on first. Examples include a brain bleed, a stroke causing large vessel occlusion or a pulmonary embolism. It reorders the radiologist's worklist and notifies the care team, and a radiologist confirms every finding before it changes a patient's treatment.
Deployments
10 public, best grade B
Reported cycle time reduction
about 44%
Adventist Health + Rideout, vendor claim
ManufacturingAutomotive
AI production line quality inspection is AI that inspects every unit on a production line to find defects, missing parts and wrong variants in real time. It works from camera images, sound or machine process data, and routes the few anomalies it flags to a quality inspector instead of relying on manual sampling at the end of the line.
Deployments
4 public, best grade B
Reported cost reduction
7%
Pegatron, vendor claim
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
Banking
Trade finance crime screening is AI that checks every trade finance transaction for financial crime risk, for banks. It checks parties, vessels and ports against sanctions and watchlists, tests goods descriptions against dual use and controlled goods lists, compares unit prices with benchmarks for over or under invoicing, and reads trade documents and messages for laundering red flags, then prepares a case narrative for a human investigator.
Deployments
7 public, best grade C
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
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
Retail and ecommerceEducation
Physical security video analytics is AI that watches camera feeds or walk through sensors at a site and flags a likely weapon, intrusion or theft. It works in real time or on search, and leaves the verification and every response action to a human guard or investigator, rather than acting on its own.
Deployments
11 public, best grade B
Reported search time reduction
at least 90%
Kogan, 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
Cross industryBanking
An internal audit copilot is AI that helps internal auditors plan and write up audits, from drafting planning materials to summarising evidence and drafting findings. It drafts planning memos and document request lists from prior audits, summarises large evidence sets, builds risk and control matrices from policies and process documents, and drafts findings and reports, with every statement traceable to evidence and a qualified auditor accountable for every conclusion.
Deployments
3 public, best grade C
Reported handling time reduction
55%
Banco Bradesco, vendor claim
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
