AI pattern
Models that interpret images or video, such as damage photos, identity documents or site inspections.
147 organizations in 34 countries run these use cases in public. 66% of those 148 deployments disclose a measurable outcome.
An AI agent for sports highlights and clipping watches a live sports broadcast and detects key moments such as goals, saves or penalties as they happen. It automatically extracts and reformats a clip and puts it in front of an editor to review and publish, instead of a person watching every feed and clipping moments by hand.
An AI troubleshooting agent diagnoses and fixes a customer's broadband, mobile, TV or device problem by conversation on the phone or in chat. It runs line tests and remote resets through the operator's systems, guides the customer step by step, and books an engineer or hands over to a technician when the fault needs a person.
A digital onboarding assistant is a customer facing AI that guides a new applicant, a person or a small merchant, through opening a digital account, card or relationship. 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.
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.
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.
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.
Intelligent document processing is AI that takes documents in any format, such as scanned forms, PDFs, photos, emails and handwritten notes, and splits, classifies and extracts the required fields. Each field gets a confidence score, is validated against business rules and source systems, and only the uncertain cases go to a person before the data enters the downstream process.
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.
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.
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.
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.
AI customs classification and declaration is AI that reads what is being shipped and proposes the tariff classification code for a customs declaration. It uses the commercial invoice, the product data and sometimes a photo, gives its reasoning and a confidence score, drafts the declaration with value, origin and parties, and sends only uncertain or high risk entries to a licensed customs specialist before filing.
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.
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.
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.
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.
AI generated ad creative production and testing is generative AI that creates the images, video and copy variants a paid media campaign needs, for marketers. It scores or tests the variants against real performance data and lets a marketer pick, adjust and publish the ones that work, instead of a manual shoot and edit for every format and audience segment. This page covers making and testing the creative itself; choosing which offer or message to show which customer is covered separately under AI marketing personalization at scale.
AI media archive metadata tagging watches and listens to a broadcaster's or publisher's video and audio archive and generates structured metadata describing what is in each piece of content. It captures detail such as what is shown, who appears, spoken content, on screen text, logos and objects, so content makers can find and reuse footage through natural language search instead of relying on sparse, inconsistent tags added by hand over decades.
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.
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.
AI catalog enrichment is AI that drafts and repairs product content, such as titles, descriptions and alt text, for online retailers at catalog scale. It also extracts missing attributes such as color, size and material from supplier text and product images, and 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 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.
Sales quote and estimate generation is AI that turns a customer's product list, drawing, roof photo or request for quotation into a draft quote for a seller or estimator. It reads the input, matches items to the catalog, calculates quantities and applies the organization's price rules, and the seller or estimator then checks and sends it.
AI robotics for kitchen frying is a robotic arm that fries food in a restaurant kitchen, freeing staff for prep, assembly and hospitality. Sensors, cameras or control software guide it; at least one vendor calls it AI driven, and more than one public pilot announcement cites computer vision. It takes on a repetitive, high heat, high volume back of house task, while a person still loads the station, checks quality and steps in when the robot cannot handle an item.
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.
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.
An AI visitor and tour guide tells visitors of cities, museums, heritage sites and events the stories behind what is around them, and answers their questions in their own language. It is often spoken, location and context aware, grounded in the organization's curated content and in the visitor's position or the object they scan.
Computed from the 148 public deployments behind these use cases. Numbers update with every checked record.
| KPI | Median | Reported range | Data points | Claimed by |
|---|---|---|---|---|
| Cycle time reduction | 60% | 44% to 97% | 7 | 1 organization, 6 vendor |
| Accuracy | 95% | 75% to 99% | 5 | 2 organization, 3 vendor |
| Productivity gain | 20x vendor reported | 5x to 46x | 4 | 4 vendor |
| Cost reduction | 7% | 4% to 80% Not pooled: up to 70% | 3plus 1 up to | 1 organization, 2 vendor |
| Automation rate | 90% | 45% to 91% | 3 | 2 organization, 1 vendor |
| Containment rate | 70% | 44% to 73% | 3 | 1 organization, 2 vendor |
