[{"data":1,"prerenderedAt":554},["ShallowReactive",2],{"uc-kitchen-robotics-and-food-prep-automation":3,"uc-regulations":332},{"useCase":4,"evidence":172,"blitsAiDeployments":238,"benchmarks":239,"indicative":240,"related":243,"indexability":330,"includeUnpublished":178},{"title":5,"shortTitle":6,"seoTitle":7,"metaDescription":8,"status":9,"definition":10,"aliases":11,"industries":15,"functions":17,"patterns":19,"channels":21,"audience":22,"autonomy":23,"adoptionStage":24,"segment":25,"problem":26,"problemStats":27,"howItWorks":28,"valueDrivers":29,"kpis":33,"indicativeValue":36,"macroEstimates":62,"feasibility":63,"implementation":74,"risk":112,"blitsAi":142,"faq":144,"related":157,"datePublished":158,"dateModified":159,"lastVerified":159,"changelog":160,"slug":171},"AI robotics for kitchen frying","AI kitchen frying robots","AI kitchen robots for frying","White Castle and Jack in the Box each piloted Miso Robotics' AI powered Flippy fryer at one restaurant; see when the EU AI Act treats a kitchen robot as high risk.","published","A robotic arm, guided by sensors, cameras or control software that at least one vendor describes as AI driven and, in more than one public pilot announcement, as using computer vision, that fries food in a restaurant kitchen, a repetitive, high heat, high volume back of house task, freeing kitchen staff for prep, assembly and hospitality while a person still loads the station, checks quality and steps in when the robot cannot handle an item.",[12,13,14],"restaurant kitchen robot","AI fry cook","autonomous frying robot",[16],"travel-and-hospitality",[18],"operations",[20],"computer-vision",[],"back-office","autonomous","emerging","back-of-house","Frying is a repetitive, physically demanding job in a restaurant kitchen: standing over hot oil\nduring a rush while timing baskets precisely and handling other tickets at the same time. It is\nalso a hard shift to keep staffed, particularly overnight, and inconsistent timing on the fryer\nshows up directly in food quality and ticket time.\n\nWhite Castle's director of operations, Steve Foreman, describes Flippy's effect on the team as, \"It\ntakes some of that load off the team, allowing members to step away from the fryer and focus on\nother tasks,\" while Miso Robotics, Flippy's vendor, frames the wider goal as reducing the stress of\npeak hours.",[],"1. **Sense what is loaded.** Miso describes Flippy, at White Castle, as an \"AI-driven robotic\n   fryer.\" For a later pilot of the next generation Flippy 2 and the Sippy drink dispenser at Jack\n   in the Box, Miso states the two products \"leverage artificial intelligence, machine learning,\n   computer vision and data analytics.\" Nation's Restaurant News separately reported that, as part\n   of a planned expansion, Flippy's cameras and sensors \"will also give\" it the capability to show\n   employees real time inventory needs and offer recommendations for complex or bulk orders, a\n   planned capability with no source confirming it was delivered, and a description of inventory\n   visibility, not of vision guided frying itself.\n2. **Run the fixed task autonomously.** The robot arm performs the one task it was built for:\n   lowering, monitoring and lifting a fry basket. Miso describes Flippy's frying implementation as\n   tapping into \"sensors, intelligent monitoring and anticipated kitchen needs to keep food\n   temperatures consistent.\"\n3. **Hand off to a person.** The finished output, a basket of fries ready to season and bag, moves\n   to a hot holding area or prep counter where a team member takes over the next, less repetitive\n   step.\n4. **Flag what a robot cannot handle.** A well built station should hold and alert a team member\n   rather than guess when it meets a jam or a fault it cannot process. None of the public\n   deployments on this page describes its exception handling in detail, so treat this as a design\n   goal to check for your own robot.\n5. **Expand at the pace the organization sets.** White Castle began Flippy at one Chicago area\n   restaurant in September 2020 and announced a plan to expand the pilot to up to 10 more locations\n   in 2021; Jack in the Box announced its own pilot in April 2022 with \"possible plans for further\n   integration\" left undisclosed. No source here confirms either expansion took place, or documents\n   a guest feedback step for either chain.",[30,31,32],"employee-productivity","cost-to-serve","customer-experience",[34,35],"productivity-gain","error-reduction",{"referenceOrg":37,"inputs":38,"formula":57,"currency":58,"period":59,"resultLabel":60,"caveat":61},"A quick service chain piloting one kitchen robot in 20 restaurants",[39,44,51],{"key":40,"label":41,"low":42,"high":42,"unit":40,"note":43},"restaurants","Restaurants with the robot installed",20,"Editorial illustrative scale, not tied to the deployments on this page: White Castle piloted the original Flippy in 1 restaurant, then confirmed a plan in February 2022 to install the newer Flippy 2 in 100 more locations, with no source found confirming how many of those installs are complete; Jack in the Box ran Flippy 2 at 1 San Diego location, with Sippy announced for the same pilot but no source confirming it was installed. Replace with your own rollout plan.",{"key":45,"label":46,"low":47,"high":48,"unit":49,"note":50},"hoursFreedPerRestaurantPerWeek","Crew hours freed from the automated task per restaurant per week",5,15,"hours per restaurant per week","Editorial assumption, replace with your own time study of the specific task before and after. No deployment on this page discloses this figure directly.",{"key":52,"label":53,"low":48,"high":54,"unit":55,"note":56},"fullyLoadedHourlyCost","Fully loaded cost of a crew hour",22,"USD per hour","Editorial assumption for US quick service labor cost including taxes and benefits. Replace with your own figure.","restaurants * hoursFreedPerRestaurantPerWeek * 52 * fullyLoadedHourlyCost","USD","per year","Crew hours redeployed, valued at fully loaded labor cost","This is redeployed labor value, not a cash saving. None of the organizations on this page has disclosed a labor cost or headcount outcome, so this number should not be read as a saving from reduced headcount. It also leaves out the equipment, installation and maintenance cost of the robot, which is substantial and not disclosed by any named organization on this page.",[],{"complexity":64,"complexityNote":65,"dataPrerequisites":66,"integrations":70},"high","This is a physical integration project, not just a software one: the robot has to fit an existing kitchen footprint, meet food safety and electrical codes, integrate with the fryer it replaces, and keep working when baskets and loads vary in size and quality.",[67,68,69],"Training images covering the real range of product variation the fryer will see (basket types and loads)","A kitchen layout and workflow map showing exactly where the unit hands off to a person","A maintenance and cleaning plan that meets the same food safety standard as the task it replaces",[71,72,73],"The fryer, oven or prep station hardware the robot operates","Kitchen display or ticket system, so the robot's task starts and finishes in step with the line","A safety interlock and emergency stop reachable by any team member",{"steps":75,"guardrails":91,"humanInTheLoop":96,"kpisToInstrument":97,"failureModes":102},[76,79,82,85,88],{"title":77,"detail":78},"Pick one high volume, low variability task first","Frying is a proven starting point because the task is repetitive and the failure mode (a bad basket) is easy for a person to catch.",{"title":80,"detail":81},"Pilot in a small number of restaurants with different traffic patterns","Run it somewhere busy and somewhere quiet, and in more than one kitchen layout, before deciding whether and how to expand. The public deployments on this page each started as a single restaurant pilot before any broader plan, so treat multiple traffic patterns as a recommendation for your own rollout, not a description of what White Castle or Jack in the Box did first.",{"title":83,"detail":84},"Build the exception path before the happy path","Decide up front what happens when the unit cannot process an item (a jammed basket) so a team member is never blocked waiting on the robot.",{"title":86,"detail":87},"Measure the task, not the kitchen","Time the specific task before and after, and track crew feedback, rather than assuming labor savings across the whole chain from a single station pilot.",{"title":89,"detail":90},"Plan for maintenance from day one","A robot that is down during a rush is worse than no robot. Agree service response times and a manual fallback procedure with the vendor before go live.",[92,93,94,95],"Emergency stop and manual override reachable by any team member at all times","Automatic hold and alert, not a guessed output, when the vision system cannot identify or size an item","Food safety and cleaning procedures documented and audited the same as for the equipment it replaces","No expansion beyond the pilot scope without a review of the specific task's before and after numbers","A team member loads the station, does a visual quality check on the output, and handles anything the robot flags or stops on. White Castle's public sources describe a staged, location by location rollout plan, and Jack in the Box's April 2022 announcement left further integration undisclosed; neither details a guest feedback step.",[98,99,100,101],"Time per unit of output (basket, portion) with and without the robot, on the same shift pattern","Crew hours redeployed from the automated task to other work","Downtime and manual override rate of the unit","Output quality on a checked sample, compared with the manual process",[103,106,109],{"title":104,"detail":105},"A single, well maintained pilot unit does not predict a fleet","One robot in one clean, well staffed restaurant understates the maintenance burden of hundreds of units across ages of kitchens. Track downtime and manual overrides, not just the demo footage.",{"title":107,"detail":108},"Load variability breaks a narrow vision model","A model trained on a limited range of basket types or loads misidentifies or mishandles the outliers. Keep the training set current with the real range the kitchen actually processes.",{"title":110,"detail":111},"The exception path is slower than doing the task by hand","If clearing a jam or override takes longer than a person would take to do the task, the unit becomes a net loss during a rush. Time the exception path, not only the happy path.",{"euAiAct":113,"regulations":116,"guidance":118,"controls":137,"incidents":141},{"tier":114,"basis":115},"context-dependent","Frying alone is not a use listed in Annex III, so a robot that only plans and runs the frying task is usually minimal risk. That changes under Article 6(1), which is high risk when the robot, or an AI or machine learning component of it, is a safety component of a product covered by the Union harmonisation legislation in Annex I, and that law requires a third party conformity assessment of the product. For a kitchen robot the relevant product law is the Machinery Regulation (EU) 2023/1230, which requires that assessment for machinery whose safety function relies on machine learning that can change its own behaviour, for example vision guided collision avoidance or an interlock near a crew member. Since the Digital Omnibus on AI, Regulation (EU) 2026/1744, moved the Machinery Regulation into Annex I Section B, only Article 6(1), Article 60a and Articles 102 to 112 of the AI Act apply directly to that safety component, and the detailed requirements reach it through delegated acts amending Annex III of the Machinery Regulation; these AI Act rules apply from 2 August 2028. None of the public deployments on this page describes its vision or control system performing a safety function rather than only guiding the task, so check your own robot's design against this before assuming it is out of scope.",[117],"eu-ai-act",[119,125,129,133],{"title":120,"issuer":121,"region":122,"url":123,"note":124},"Article 2, scope","European Union","europe","https://artificialintelligenceact.eu/article/2/","Article 2(2), as amended by Regulation (EU) 2026/1744, says that for high risk AI systems related to products under the Annex I Section B laws, such as machinery, only Article 6(1), Article 60a and Articles 102 to 112 apply.",{"title":126,"issuer":121,"region":122,"url":127,"note":128},"Annex I, list of Union harmonisation legislation","https://artificialintelligenceact.eu/annex/1/","The product laws behind Article 6(1). Since Regulation (EU) 2026/1744, Section B lists the Machinery Regulation (EU) 2023/1230 as point 21, and the Machinery Directive 2006/42/EC is deleted from Section A.",{"title":130,"issuer":121,"region":122,"url":131,"note":132},"Article 113, entry into force and application","https://artificialintelligenceact.eu/article/113/","Sets 2 August 2028 as the application date for the high risk rules that reach an Annex I Section B product, such as a kitchen robot regulated under the Machinery Regulation.",{"title":134,"issuer":121,"region":122,"url":135,"note":136},"Regulation (EU) 2023/1230 on machinery","https://eur-lex.europa.eu/eli/reg/2023/1230/oj","The EU Machinery Regulation applies from 14 January 2027. Since Regulation (EU) 2026/1744 it is listed in Annex I Section B of the AI Act. It is the product law that can make an AI safety component of a kitchen robot high risk under Article 6(1), for example a vision guided collision avoidance or interlock function that can change its own behaviour.",[138,139,140],"Documented, audited cleaning and food safety procedure equivalent to the manual task","Emergency stop and manual override always reachable by crew","Maintenance response time agreed with the vendor before any expansion beyond the pilot",[],{"howToBuild":143},"Kitchen robotics is physical automation, not a conversational surface, so Blits.ai's role here is\nthe operational layer around the robot rather than the robot itself: an **agentic workflow** that\nwatches the kitchen display and ticket system through **custom functions**, opens or confirms the\nrobot's task at the right moment in the ticket sequence, and writes back completion or a fault\nstate. A **monitor** on the agent that calls the robot integration runs a scheduled health check\nwith a deterministic or LLM based expectation, and sends an email or webhook alert on failure and\nrecovery, so a stalled or faulted integration is caught rather than silently holding up the line.\n\nWhere a robot's own vendor software exposes an API, a **custom function** calls it directly;\nwhere it does not, the workflow reasons over the same point of sale and kitchen display data a\nperson would look at. The workflow's **run history** gives a full audit trail of every task it\nopened or confirmed, with analytics and downloadable run data, so an operator compares pilot\nlocations on real numbers instead of vendor demonstrations. The whole integration stays **model\nagnostic**, so the reasoning layer can move to a different underlying model without touching the\nrobot vendor's own software.",[145,148,151,154],{"question":146,"answer":147},"What kitchen tasks do restaurant robots automate today?","The public deployments on this page are narrow and specific: Miso Robotics' Flippy fries food at White Castle, and Flippy 2 fries food at Jack in the Box, where Miso also announced its Sippy drink dispenser for the same pilot, though no source confirms Sippy was installed. Neither runs a whole kitchen; each hands off to a person for the next step.",{"question":149,"answer":150},"How big are these deployments really?","Small and staged. White Castle began Flippy at one Chicago area restaurant in September 2020, announced a plan in October 2020 to expand to up to 10 more locations in 2021, and in February 2022 confirmed a plan to install the newer Flippy 2 in 100 more locations, with rollouts \"phased by region\" over \"the months and years ahead\"; no source found confirms how much of either plan has been completed. Jack in the Box separately announced a pilot of Flippy 2 and Sippy at a single San Diego location in April 2022, with \"possible plans for further integration\" left undisclosed; Miso Robotics' Chief Executive, Mike Bell, said in an interview published 4 October 2022 that Jack in the Box in San Diego had adopted the robotic fry cook, a vendor's claim, so Flippy 2 was operating by then. No source found confirms whether Sippy was also installed by that date, describes a guest feedback step for either chain, or discloses an outcome for either pilot.",{"question":152,"answer":153},"Do these robots replace kitchen staff?","The organizations frame it differently. White Castle's own reasoning, per trade press covering the rollout, was the need to limit staff while maintaining cooking speed and freshness during a demand surge, and its director of operations describes Flippy as taking load off the team so it can focus on other tasks. Jack in the Box's Chief Operating Officer, Tony Darden, described the pilot as a steppingstone for its back of house restaurant operations, aimed at \"promoting safety and comfort to our team members\"; the same Miso Robotics release announcing the pilot separately states the goal as team members spending less time at the fryer and drink stations and more time in front of customers. Miso Robotics, the vendor behind Flippy and Sippy, has separately framed the wider goal as redeploying staff to front of house work. Neither organization has publicly disclosed a labor cost or headcount outcome.",{"question":155,"answer":156},"Is a kitchen robot high risk under the EU AI Act?","It depends on the design, not the category. Frying alone is not a use listed in Annex III, so if the AI only plans and runs the frying task, it is minimal risk. Under Article 6(1) it becomes high risk only when the AI or machine learning component is a safety component whose safety function relies on machine learning that can change its own behaviour, for example vision guided collision avoidance or an interlock near a crew member that keeps adapting on its own, because the Machinery Regulation (EU) 2023/1230 requires third party conformity assessment for that kind of safety function. Since Regulation (EU) 2026/1744 moved the Machinery Regulation into Annex I Section B, only Article 6(1), Article 60a and Articles 102 to 112 of the AI Act apply directly to that safety component, and only from 2 August 2028. None of the deployments on this page discloses whether its system works this way, so check your own robot's design before assuming it is out of scope.",[],"2026-09-29","2026-09-30",[161,163,165,167,169],{"date":159,"note":162},"Published after review by an automated review workflow (independent skeptic review).",{"date":159,"note":164},"Editor pass 5, responding to an adversarial skeptic review: reworded the indicativeValue note and the \"What kitchen tasks\" and \"How big are these deployments\" FAQ answers so that only Flippy 2 is stated as confirmed operating at Jack in the Box's San Diego location by October 2022 (per Miso's chief executive, a vendor claim); Sippy is now presented as announced for the same April 2022 pilot with no source confirming it was installed. Unlinked the Chipotle Autocado evidence record from this page and deleted it (it supported no other page), and removed the Autocado and produce prep material from the definition, aliases, problem, howItWorks, feasibility, implementation, humanInTheLoop, failureModes and FAQs, keeping the page on the two remaining named, public frying deployments (White Castle and Jack in the Box); also dropped the now stray \"produce prep\" wording from the EU AI Act basis and FAQ, and softened the Jack in the Box evidence record's \"own article\" description of the Times of San Diego piece, which carries a Reuters photo credit.",{"date":159,"note":166},"Editor pass 4, responding to an adversarial skeptic review: added an independent October 2022 Times of San Diego source confirming Jack in the Box's Flippy 2 pilot moved from announcement to an operating installation, and reworded the meta description, FAQ and evidence to match; narrowed the title, definition and meta description to AI robotics for frying, dropping the produce prep scope that only Chipotle's non AI Autocado supported, and removed the metaDescription's unsupported \"non AI\" assertion and its promise of per deployment limitations; removed the unsupported claim that Miso framed staff redeployment as \"rather than cutting headcount,\" and reworded the indicativeValue caveat to say only that no organization disclosed a labor or headcount outcome; removed the unsupported sensor timing and \"either way\" claims from howItWorks and restricted step 2 to what Miso and Chipotle actually say; corrected the NRN cameras and sensors sentence to the future tense the source uses; added the EU AI Act's self evolving qualifier, the reduced article set and the 2 August 2028 date to the FAQ, to match the basis field; removed \"not just vendor demonstrations\" from humanInTheLoop, which Chipotle's release does not say; dropped the unsupported retail-and-ecommerce industry; added risk.guidance entries for the Digital Omnibus and Machinery Regulation citations already in the basis field; and softened the White Castle evidence record's ROAR timeline and 360 baskets attribution to match the source exactly.",{"date":159,"note":168},"Unpublished by an automated review workflow (independent skeptic review).",{"date":158,"note":170},"First published","kitchen-robotics-and-food-prep-automation",[173,206],{"title":174,"useCases":175,"organization":176,"vendors":181,"summary":185,"stage":186,"year":187,"channels":188,"languages":189,"metrics":190,"outcomeDisclosed":178,"sources":191,"verification":201,"grade":203,"id":204,"organizationSlug":205},"Jack in the Box: Miso Flippy 2 and Sippy pilot",[171],{"name":177,"anonymized":178,"country":179,"region":180,"industry":16},"Jack in the Box Inc.",false,"US","north-america",[182],{"name":183,"role":184},"Miso Robotics","platform","Jack in the Box began piloting Miso Robotics' Flippy 2 fry station and Sippy drink dispenser at a single, standalone San Diego location, announced in April 2022 by its Chief Operating Officer, Tony Darden, who said the chain was \"looking forward to testing Flippy 2 as our new hire at our San Diego location.\" Miso Robotics describes the two products, \"built on the Miso Platform,\" as leveraging \"artificial intelligence, machine learning, computer vision and data analytics to maximize efficiency in the commercial kitchen.\" Miso's Chief Executive, Mike Bell, confirmed in an interview published 4 October 2022 that Jack in the Box in San Diego had adopted the robotic fry cook, alongside White Castle and CaliBurger locations, so the pilot had moved from announcement to an operating installation by then; no source found confirms whether Sippy was also running by that date, or discloses an outcome for the pilot.","pilot",2022,[],[],[],[192,196],{"url":193,"title":194,"publisher":183,"date":195},"https://www.prnewswire.com/news-releases/jack-in-the-box-partners-with-miso-robotics-to-begin-pilot-for-flippy-2-and-sippy-product-lines-301532766.html","Jack in the Box Partners with Miso Robotics to Begin Pilot for Flippy 2 and Sippy Product Lines","2022-04-26",{"url":197,"title":198,"publisher":199,"date":200},"https://timesofsandiego.com/tech/2022/10/04/jack-in-the-box-other-fast-food-eateries-using-french-fry-making-robot-flippy-2/","Jack in the Box, Other Fast Food Eateries Using French Fry-Making Robot 'Flippy 2'","Times of San Diego","2022-10-04",{"level":202,"checkedAt":158},"source-verified","C","jack-in-the-box-miso-flippy-sippy-pilot",null,{"title":207,"useCases":208,"organization":209,"vendors":211,"summary":213,"stage":186,"year":214,"channels":215,"languages":216,"metrics":217,"outcomeDisclosed":218,"sources":219,"verification":236,"grade":203,"id":237,"organizationSlug":205},"White Castle: Miso Robotics' Flippy AI fry cook",[171],{"name":210,"anonymized":178,"country":179,"region":180,"industry":16},"White Castle Management Co.",[212],{"name":183,"role":184},"White Castle began piloting Miso Robotics' Flippy, which Miso calls an \"AI-driven robotic fryer,\" at a single Chicago area restaurant from late September 2020; Nation's Restaurant News separately reported that White Castle would also implement the newly revamped Flippy ROAR (Robot on a Rail), a rail mounted version announced in October 2020 that can glide between workstations, though no source cited here states which version was running at the September start. In October 2020, following early positive results, White Castle announced plans to expand the pilot to up to 10 more undisclosed locations in 2021; no source cited here confirms that expansion took place. Miso, Flippy's vendor, credits the robot with reducing the stress of peak hours so team members can focus on other tasks; White Castle's own stated reason for piloting autonomous frying was the need to limit staff while maintaining cooking speed and freshness during a pandemic demand surge. In February 2022, after upgrading the Chicago area restaurant to Flippy 2 in November 2021, White Castle confirmed a plan to install Flippy 2 in 100 more locations, with Miso describing those rollouts as \"phased by region\" and \"planned out and scheduled in the months and years ahead\"; no source cited here confirms how many of those 100 installs are complete.",2020,[],[],[],true,[220,224,229,232],{"url":221,"title":222,"publisher":183,"date":223},"https://info.misorobotics.com/newsroom/white-castle-selects-miso-robotics-for-a-new-era-of-artificial-intelligence-in-the-fast-food-industry","White Castle Selects Miso Robotics for a New Era of Artificial Intelligence in the Fast Food Industry","2020-07-14",{"url":225,"title":226,"publisher":227,"date":228},"https://www.nrn.com/quick-service/white-castle-expands-partnership-with-miso-robotics-flippy-the-fry-cook-robot","White Castle expands partnership with Miso Robotics' Flippy the fry cook robot","Nation's Restaurant News","2020-10-27",{"url":230,"title":231,"publisher":183},"https://misorobotics.com/newsroom/white-castle-named-outstanding-operator-innovation-driven-by-flippy/","White Castle Named Outstanding Operator: Innovation Driven by Flippy",{"url":233,"title":234,"publisher":183,"date":235},"https://www.prnewswire.com/news-releases/white-castle-expands-partnership-with-miso-robotics-to-install-flippy-2-in-100-new-locations-301482275.html","White Castle Expands Partnership with Miso Robotics to Install Flippy 2 in 100 New Locations","2022-02-15",{"level":202,"checkedAt":158},"white-castle-miso-flippy-fry-robot",0,[],{"low":241,"high":242},78000,343200,[244,263,282,316],{"slug":245,"title":246,"shortTitle":247,"definition":248,"status":9,"industries":249,"functions":250,"patterns":251,"audience":254,"autonomy":255,"adoptionStage":256,"segment":257,"evidenceCount":258,"publicEvidenceCount":258,"organizations":259,"bestGrade":203,"headline":205,"lastVerified":159,"indexable":218},"ground-handling-and-turnaround-optimization","AI for aircraft turnaround and ground handling optimization","Ground handling and turnaround optimization","AI, often computer vision on cameras aimed at the gate and apron, that watches each aircraft turnaround (fueling, catering, baggage, boarding, pushback) in real time, predicts the departure time as soon as the aircraft arrives, and alerts ground operations staff the moment a subprocess falls behind schedule, so they can intervene before a small delay becomes a missed slot.",[16],[18],[20,252,253],"anomaly-detection","prediction-and-scoring","employee-facing","assist","early-adopters","ground operations",3,[260,261,262],"Alaska Airlines","Port of Seattle","Greater Toronto Airports Authority",{"slug":264,"title":265,"shortTitle":266,"definition":267,"status":9,"industries":268,"functions":270,"patterns":272,"audience":254,"autonomy":275,"adoptionStage":276,"segment":277,"evidenceCount":278,"publicEvidenceCount":278,"organizations":279,"bestGrade":203,"headline":205,"lastVerified":159,"indexable":218},"automated-sports-highlights-and-clipping","AI agent for automated sports highlights and clipping","Sports highlights and clipping","An AI system that watches a live sports broadcast, detects key moments such as goals, saves or penalties as they happen, 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.",[269],"media-and-entertainment",[18,271],"marketing",[20,273,274],"classification-and-routing","content-generation","copilot","mainstream","content operations",2,[280,281],"Fox Sports","National Basketball Association (NBA)",{"slug":283,"title":284,"shortTitle":285,"definition":286,"status":9,"industries":287,"functions":288,"patterns":290,"audience":294,"autonomy":295,"adoptionStage":256,"evidenceCount":296,"publicEvidenceCount":296,"organizations":297,"bestGrade":305,"headline":306,"lastVerified":315,"indexable":218},"flight-disruption-and-rebooking-agent","AI agent for flight disruption and rebooking","Flight disruption and rebooking","An AI agent that tells passengers proactively when their flight is delayed, cancelled or misconnected, explains why, and lets them rebook, request a refund or voucher, or claim care such as meals and hotels in one conversation on app, messaging, web or phone, within the airline's reaccommodation rules and passenger rights, handing complex itineraries and upset customers to a human with the context attached.",[16],[289,18],"customer-service",[291,292,293,274],"conversational-agent","voice-agent","agentic-workflow","customer-facing","supervised-agent",7,[298,299,300,301,302,303,304],"Air India","American Airlines","Delta Air Lines","JetBlue","Lufthansa Group","Pegasus Airlines","United Airlines","B",{"kpi":307,"label":308,"unit":309,"n":310,"nUpTo":238,"kind":311,"value":312,"qualifier":313,"claimant":314,"organization":298,"vendorReported":218},"automation-rate","Automation rate","percent",1,"reported",97,"exact","vendor","2026-09-27",{"slug":317,"title":318,"shortTitle":319,"definition":320,"status":9,"industries":321,"functions":323,"patterns":325,"audience":22,"autonomy":295,"adoptionStage":276,"evidenceCount":258,"publicEvidenceCount":258,"organizations":326,"bestGrade":305,"headline":205,"lastVerified":158,"indexable":218},"exam-and-assessment-integrity","AI assisted proctoring and integrity monitoring for remote exams","Exam and assessment integrity","AI that supports the integrity of a remote, high stakes exam by verifying a test taker's identity, analysing behaviour such as typing patterns, facial matching and session activity for signs of impersonation or unauthorized help, and flagging sessions for a trained human reviewer to decide, rather than letting a model issue an automated finding of misconduct on its own.",[322],"education",[18,324],"security-operations",[252,20,273],[327,328,329],"Duolingo","Educational Testing Service (ETS)","Pearson VUE",{"indexable":218,"reasons":331},[],[333,338,344,352,359,366,372,379,387,394,400,406,412,418,425,431,437,444,449,455,462,469,474,479,484,491,496,501,507,512,519,526,532,538,543,548],{"id":117,"label":334,"issuer":121,"region":122,"url":335,"description":336,"useCases":337,"indexable":218},"EU AI Act","https://eur-lex.europa.eu/eli/reg/2024/1689/oj","Regulation (EU) 2024/1689: risk based rules for AI systems, with obligations for high risk systems listed in Annex III and transparency duties under Article 50.",250,{"id":339,"label":340,"issuer":121,"region":122,"url":341,"description":342,"useCases":343,"indexable":218},"gdpr","GDPR","https://eur-lex.europa.eu/eli/reg/2016/679/oj","General Data Protection Regulation, including Article 22 on decisions based solely on automated processing.",223,{"id":345,"label":346,"issuer":347,"region":348,"url":349,"description":350,"useCases":351,"indexable":218},"iso-42001","ISO/IEC 42001","ISO and IEC","global","https://www.iso.org/standard/81230.html","The international management system standard for AI.",127,{"id":353,"label":354,"issuer":355,"region":180,"url":356,"description":357,"useCases":358,"indexable":218},"nist-ai-rmf","NIST AI Risk Management Framework","NIST","https://www.nist.gov/itl/ai-risk-management-framework","Voluntary US framework to map, measure, manage and govern AI risk, with a generative AI profile.",95,{"id":360,"label":361,"issuer":362,"region":122,"url":363,"description":364,"useCases":365,"indexable":218},"uk-gdpr","UK GDPR","Information Commissioner's Office","https://ico.org.uk/for-organisations/uk-gdpr-guidance-and-resources/","The UK's version of the GDPR, including rules on solely automated decisions.",73,{"id":367,"label":368,"issuer":121,"region":122,"url":369,"description":370,"useCases":371,"indexable":218},"dora","DORA","https://eur-lex.europa.eu/eli/reg/2022/2554/oj","Digital Operational Resilience Act for financial entities: ICT risk, incident reporting and third party risk, including AI providers.",67,{"id":373,"label":374,"issuer":375,"region":122,"url":376,"description":377,"useCases":378,"indexable":218},"uk-consumer-duty","FCA Consumer Duty","Financial Conduct Authority","https://www.fca.org.uk/firms/consumer-duty","UK rules that require firms to deliver good outcomes for retail customers, including through automated channels.",50,{"id":380,"label":381,"issuer":382,"region":383,"url":384,"description":385,"useCases":386,"indexable":218},"mas-ai-risk-management","MAS AI risk management guidelines","Monetary Authority of Singapore","asia-pacific","https://www.mas.gov.sg/news/media-releases/2025/mas-guidelines-for-artificial-intelligence-risk-management","Singapore's supervisory expectations for AI risk management at financial institutions, building on the FEAT principles.",37,{"id":388,"label":389,"issuer":390,"region":383,"url":391,"description":392,"useCases":393,"indexable":218},"apra-cps-230","APRA CPS 230","Australian Prudential Regulation Authority","https://www.apra.gov.au/operational-risk-management","Australian operational risk standard covering critical operations and material service providers.",25,{"id":395,"label":396,"issuer":397,"region":348,"url":398,"description":399,"useCases":54,"indexable":218},"pci-dss","PCI DSS","PCI Security Standards Council","https://www.pcisecuritystandards.org/","Security standard for any system that stores, processes or transmits cardholder data.",{"id":401,"label":402,"issuer":403,"region":180,"url":404,"description":405,"useCases":54,"indexable":218},"us-sr-11-7","SR 11-7 model risk management","Federal Reserve and OCC","https://www.federalreserve.gov/boarddocs/srletters/2011/sr1107.htm","US supervisory guidance on model risk management, applied by banks to AI and machine learning models.",{"id":407,"label":408,"issuer":121,"region":122,"url":409,"description":410,"useCases":411,"indexable":218},"nis2","NIS2 Directive","https://eur-lex.europa.eu/eli/dir/2022/2555/oj","Directive (EU) 2022/2555 on cybersecurity for essential and important entities, including telecom networks, energy and public administration.",17,{"id":413,"label":414,"issuer":415,"region":122,"url":416,"description":417,"useCases":411,"indexable":218},"uk-atrs","UK Algorithmic Transparency Recording Standard","UK Government","https://www.gov.uk/government/collections/algorithmic-transparency-recording-standard-hub","Mandatory transparency records for algorithmic tools used by UK central government.",{"id":419,"label":420,"issuer":421,"region":180,"url":422,"description":423,"useCases":424,"indexable":218},"hipaa","HIPAA","US Department of Health and Human Services","https://www.hhs.gov/hipaa/index.html","US rules for the privacy and security of protected health information.",16,{"id":426,"label":427,"issuer":428,"region":348,"url":429,"description":430,"useCases":48,"indexable":218},"fatf-recommendations","FATF Recommendations","Financial Action Task Force","https://www.fatf-gafi.org/en/publications/Fatfrecommendations/Fatf-recommendations.html","Global standards for anti money laundering and counter terrorist financing that national rules implement.",{"id":432,"label":433,"issuer":121,"region":122,"url":434,"description":435,"useCases":436,"indexable":218},"eu-amlr","EU Anti Money Laundering Regulation","https://eur-lex.europa.eu/eli/reg/2024/1624/oj","Regulation (EU) 2024/1624: the single EU rulebook for customer due diligence, beneficial ownership and suspicious transaction reporting.",14,{"id":438,"label":439,"issuer":440,"region":180,"url":441,"description":442,"useCases":443,"indexable":218},"us-bsa","Bank Secrecy Act","FinCEN","https://www.fincen.gov/resources/statutes-and-regulations/bank-secrecy-act","US anti money laundering law: customer due diligence, suspicious activity reports and record keeping.",13,{"id":445,"label":446,"issuer":121,"region":122,"url":447,"description":448,"useCases":443,"indexable":218},"eu-accessibility-act","European Accessibility Act","https://eur-lex.europa.eu/eli/dir/2019/882/oj","Directive (EU) 2019/882: accessibility requirements for banking services, ecommerce and other digital services, applicable since June 2025.",{"id":450,"label":451,"issuer":452,"region":180,"url":453,"description":454,"useCases":443,"indexable":218},"us-tcpa","Telephone Consumer Protection Act","Federal Communications Commission","https://www.fcc.gov/consumers/guides/stop-unwanted-robocalls-and-texts","US consent rules for automated and prerecorded calls and texts; the FCC has confirmed AI generated voices count as artificial voices.",{"id":456,"label":457,"issuer":458,"region":348,"url":459,"description":460,"useCases":461,"indexable":218},"telecom-consumer-rules","Telecom consumer protection rules","National telecom regulators","https://www.berec.europa.eu/","National rules on telecom contracts, switching, billing disputes and marketing consent.",12,{"id":463,"label":464,"issuer":465,"region":180,"url":466,"description":467,"useCases":468,"indexable":218},"us-ecoa-reg-b","ECOA and Regulation B","Consumer Financial Protection Bureau","https://www.consumerfinance.gov/rules-policy/regulations/1002/9/","US fair lending rules, including specific reasons in adverse action notices, which also apply when credit decisions use AI models.",11,{"id":470,"label":471,"issuer":121,"region":122,"url":472,"description":473,"useCases":468,"indexable":218},"eecc","European Electronic Communications Code","https://eur-lex.europa.eu/eli/dir/2018/1972/oj","Directive (EU) 2018/1972: consumer protection, contract, switching and security rules for telecom operators.",{"id":475,"label":476,"issuer":121,"region":122,"url":477,"description":478,"useCases":468,"indexable":218},"eu-psd2","PSD2","https://eur-lex.europa.eu/eli/dir/2015/2366/oj","Payment Services Directive 2: strong customer authentication, transaction risk analysis exemptions and open banking access.",{"id":480,"label":481,"issuer":121,"region":122,"url":482,"description":483,"useCases":468,"indexable":218},"solvency-ii","Solvency II","https://eur-lex.europa.eu/eli/dir/2009/138/oj","Directive 2009/138/EC: risk based capital, governance and model requirements for insurers.",{"id":485,"label":486,"issuer":487,"region":122,"url":488,"description":489,"useCases":490,"indexable":218},"eba-loan-origination","EBA Guidelines on loan origination and monitoring","European Banking Authority","https://www.eba.europa.eu/regulation-and-policy/credit-risk/guidelines-on-loan-origination-and-monitoring","Expectations for credit decisioning, including the use of automated models.",10,{"id":492,"label":493,"issuer":382,"region":383,"url":494,"description":495,"useCases":490,"indexable":218},"mas-notice-626","MAS Notice 626","https://www.mas.gov.sg/regulation/notices/notice-626","Singapore's anti money laundering and counter terrorism financing requirements for banks.",{"id":497,"label":498,"issuer":121,"region":122,"url":499,"description":500,"useCases":490,"indexable":218},"mifid-ii","MiFID II","https://eur-lex.europa.eu/eli/dir/2014/65/oj","Directive 2014/65/EU on markets in financial instruments: suitability and appropriateness of advice, record keeping and product governance.",{"id":502,"label":503,"issuer":504,"region":180,"url":505,"description":506,"useCases":296,"indexable":218},"us-fcra","Fair Credit Reporting Act","Federal Trade Commission","https://www.ftc.gov/legal-library/browse/statutes/fair-credit-reporting-act","US rules on consumer reports, their accuracy and permissible use, relevant to credit scoring and screening.",{"id":508,"label":509,"issuer":121,"region":122,"url":510,"description":511,"useCases":296,"indexable":218},"eu-idd","Insurance Distribution Directive","https://eur-lex.europa.eu/eli/dir/2016/97/oj","Directive (EU) 2016/97: conduct rules for selling insurance, including demands and needs testing and advice.",{"id":513,"label":514,"issuer":515,"region":516,"url":517,"description":518,"useCases":47,"indexable":218},"cbuae-ai-guidance","CBUAE guidance on AI and ML","Central Bank of the UAE","middle-east","https://www.centralbank.ae/","UAE central bank expectations for the enabling technologies, AI and machine learning used by licensed financial institutions.",{"id":520,"label":521,"issuer":522,"region":122,"url":523,"description":524,"useCases":525,"indexable":218},"pra-ss1-23","PRA SS1/23 model risk management","Prudential Regulation Authority","https://www.bankofengland.co.uk/prudential-regulation/publication/2023/may/model-risk-management-principles-for-banks-ss","UK model risk management principles for banks, covering AI and machine learning models.",4,{"id":527,"label":528,"issuer":529,"region":122,"url":530,"description":531,"useCases":525,"indexable":218},"uk-psr-app-reimbursement","UK APP scam reimbursement rules","Payment Systems Regulator","https://www.psr.org.uk/our-work/app-scams/","Mandatory reimbursement of authorised push payment scam victims by UK payment firms, which shifts scam losses onto banks.",{"id":533,"label":534,"issuer":535,"region":383,"url":536,"description":537,"useCases":258,"indexable":218},"au-scams-prevention-framework","Australian Scams Prevention Framework","Australian Treasury","https://treasury.gov.au/consultation/c2024-573813","Economy wide obligations for banks, telcos and digital platforms to prevent, detect, disrupt and respond to scams.",{"id":539,"label":540,"issuer":121,"region":122,"url":541,"description":542,"useCases":258,"indexable":218},"eu-mar","EU Market Abuse Regulation","https://eur-lex.europa.eu/eli/reg/2014/596/oj","Regulation (EU) 596/2014: insider dealing and market manipulation, including the duty to detect and report suspicious orders and transactions.",{"id":544,"label":545,"issuer":121,"region":122,"url":546,"description":547,"useCases":258,"indexable":218},"eu-mortgage-credit-directive","EU Mortgage Credit Directive","https://eur-lex.europa.eu/eli/dir/2014/17/oj","Directive 2014/17/EU: creditworthiness assessment, disclosure and advice rules for residential mortgage lending.",{"id":549,"label":550,"issuer":551,"region":180,"url":552,"description":553,"useCases":258,"indexable":218},"nyc-local-law-144","NYC Local Law 144","New York City","https://www.nyc.gov/site/dca/about/automated-employment-decision-tools.page","Bias audits and notices for automated employment decision tools used in hiring and promotion in New York City.",1790783085744]