AI pattern
Models that interpret images or video, such as damage photos, identity documents or site inspections.
52 organizations in 17 countries run these use cases in public. 65% of those 52 deployments disclose a measurable outcome.
An AI agent that diagnoses and fixes a customer's broadband, mobile, TV or device problem by conversation on the phone or in chat, running line tests and remote resets through the operator's systems, guiding the customer step by step, and booking an engineer or handing over to a technician when the fault needs a person.
A customer facing AI assistant that guides a new applicant, a person or a small merchant, through a digital account, card or relationship application: it collects and checks identity and supporting documents, orchestrates the know your customer and anti money laundering checks, prefills what it can and sends only the unclear cases to a human reviewer with a summary. The ownership research for complex corporate clients is a separate back office job.
AI that takes documents in any format, such as scanned forms, PDFs, photos, emails and handwritten notes, splits and classifies them, extracts the required fields with a confidence score, validates them against business rules and source systems, and sends only the uncertain cases to a person before the data enters the downstream process.
AI that checks incoming account and loan applications for forged or AI generated documents, synthetic and stolen identities, and coordinated application rings, by analysing documents, device and application data across the whole queue and cross checking against bureau and official sources.
AI that reads what is being shipped (the commercial invoice, the product data and sometimes a photo), proposes the tariff classification code with its reasoning and a confidence score, drafts the customs declaration with value, origin and parties, and sends only uncertain or high risk entries to a licensed customs specialist before filing.
AI that scores every insurance claim for fraud from first notice of loss onwards, combining claim, policy, document, image and network data to find suspicious claims, organised rings and inflated losses, and sends each alert with its reasons to a claims handler or special investigations unit for review.
Computer vision that assesses damage from photos or video of a vehicle or property taken by the policyholder, a repairer or an adjuster, 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.
AI that watches and listens to a broadcaster's or publisher's video and audio archive and generates rich, structured metadata, such as what is shown, who appears, spoken content, on screen text, logos and objects, so that content makers can find and reuse footage through natural language search instead of relying on the sparse, inconsistent tags an archive accumulated by hand over decades.
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, learn what a healthy wheel or a healthy reading looks like, and flag the ones that need attention before a crack, an overheating bearing or a worn wheel causes a service failure or a derailment.
An AI system that analyzes a medical image immediately after a scan, flags time sensitive findings such as a brain bleed, a stroke causing large vessel occlusion or a pulmonary embolism, and reorders the radiologist's worklist and notifies the care team so the most urgent cases are read and acted on first, while a radiologist confirms every finding before it changes a patient's treatment.
AI that writes and repairs product content at catalog scale: it drafts titles, descriptions and image alt text, and extracts missing attributes such as color, size and material from supplier text and product images, then checks its own output before the content is published to the store and to search engines. A human owns the rules, the quality thresholds and the exceptions.
AI that inspects every unit on a production line, from camera images, sound or machine process data, to find defects, missing parts and wrong variants in real time, and routes the few anomalies it flags to a quality inspector instead of relying on manual sampling at the end of the line.
AI that turns what a customer sends, such as a product list, a drawing, a roof photo or a request for quotation, into a draft quote: it reads the input, matches items to the catalog, calculates quantities and applies the organization's price rules, and hands the draft to a seller or estimator who checks and sends it.
AI that analyses satellite, aerial or lidar imagery of the land along power lines to estimate where and 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.
A location and context aware AI guide, often spoken, that tells visitors of cities, museums, heritage sites and events the stories behind what is around them and answers their questions in their own language, grounded in the organization's curated content and in the visitor's position or the object they scan.
Computed from the 52 public deployments behind these use cases. Numbers update with every checked record.
| KPI | Median | Reported range | Data points | Claimed by |
|---|---|---|---|---|
| Containment rate | 70% | 44% to 73% | 3 | 1 organization, 2 vendor |
AXA Switzerland, Admiral Seguros, Adventist Health + Rideout, Albo, Amazon, Ancine, Art Basel, Assurant, Audi, Australian Broadcasting Corporation, BCU, BMW Group, BNSF Railway, Bloomberg Connects, CNG Holdings, Close Brothers Motor Finance, Covéa, DHL Express, DeAcero, Department for Work and Pensions, Deutsche Bank, Enpal, Entergy, Etsy, Foyer, General Insurance Association of Singapore, Lemonade, M-DAQ Global, Madrid Destino, National Gallery Singapore, National Grid, Norfolk Southern, PZU, Payoneer, Pegatron, Pupuk Indonesia, Radiotelevisión Española (RTVE), Sheba Medical Center, Singtel, Telstra, The ODP Corporation, Tokio Marine & Nichido Fire Insurance, U.S. Citizenship and Immigration Services, U.S. Immigration and Customs Enforcement, United Parcel Service, Virgin Media O2, Vodafone, Vodafone Germany, Volvo Group, Walmart, ZLS Zoll und Logistikservice GmbH, eBay.
