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 industry, Manufacturing
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: 6 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: 4 public, best grade B
Autonomy: Assist
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)
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: 4 public, best grade C
Reported productivity gain: 95% (Layton Construction, vendor claim)
Cross industry, Banking
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 artifact 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
Autonomy: Supervised agent
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)
Banking, Payments 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
Autonomy: Copilot
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
Cross industry, Banking
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: 10 public, best grade B
Median time to repair reduction: 75% (6 deployments)
Banking, Payments 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: 8 public, best grade B
Reported automation rate: about 95% (Capital Area Food Bank, vendor claim)
Capital markets, Banking
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 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)
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
Banking, Insurance
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
Autonomy: Copilot
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
Cross industry, Banking
AI supplier invoice processing is AI that captures supplier invoices in any format and extracts the header and line data. It matches invoices to purchase orders and goods receipts, proposes tax and cost center coding, flags duplicates and suspected fraud, and routes them for approval and posting, leaving only exceptions to accounts payable staff.
Deployments: 10 public, best grade B
Median automation rate: 70% (4 deployments)
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
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
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
AI loss prevention at self checkout uses cameras and computer vision to spot items that were not scanned and to prompt the shopper to fix them. Some retailers also check the cart against the receipt at the exit, leaving final checks to staff.
Deployments: 4 public, best grade B
Reported automation rate: at least 75% (Kroger, 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)
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
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
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: 12 public, best grade B
Reported cycle time reduction: about 44% (Adventist Health + Rideout, vendor claim)
Manufacturing, Automotive
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)
Government and public sector
Public tender risk screening is AI that reads tender notices and procurement records and alerts auditors to likely errors, rigging or fraud before a contract is awarded. Audit offices and ministries use it to give auditors a short list of flagged tenders to review while a tender is still open.
Deployments: 4 public, best grade B
Autonomy: Assist
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
Autonomy: Supervised agent
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
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)
Retail and ecommerce, Education
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: 13 public, best grade B
Reported search time reduction: at least 90% (Kogan, vendor claim)
Energy and utilities
AI wildfire smoke detection is computer vision on tower cameras that spots early smoke, has a person confirm it, and alerts fire dispatch with a triangulated location. Utilities install the cameras near power lines and share the feeds with fire agencies, to find ignitions in remote areas before anyone calls 911.
Deployments: 3 public, best grade B
Autonomy: Copilot
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
Cross industry, Banking
An internal audit copilot is AI that helps internal auditors plan and write up audits, from drafting planning materials to summarizing evidence and drafting findings. It drafts planning memos and document request lists from prior audits, summarizes 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: 4 public, best grade B
Reported handling time reduction: 55% (Banco Bradesco, vendor claim)
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)
