[{"data":1,"prerenderedAt":804},["ShallowReactive",2],{"uc-corporate-and-marketing-avatar-video":3,"uc-regulations":578},{"useCase":4,"evidence":188,"blitsAiDeployments":427,"benchmarks":428,"indicative":462,"related":465,"indexability":576,"includeUnpublished":194},{"title":5,"shortTitle":6,"seoTitle":7,"metaDescription":8,"status":9,"definition":10,"aliases":11,"industries":17,"functions":24,"patterns":26,"channels":29,"audience":32,"autonomy":33,"adoptionStage":34,"problem":35,"problemStats":36,"howItWorks":37,"valueDrivers":38,"kpis":43,"indicativeValue":48,"macroEstimates":83,"feasibility":84,"implementation":97,"risk":140,"blitsAi":165,"faq":167,"related":177,"datePublished":183,"dateModified":183,"lastVerified":183,"changelog":184,"slug":187},"AI avatar and translated video for corporate communications and marketing","Avatar video for communications","AI avatar video for corporate communications","AI avatars and video translation turn a script into presenter videos in many languages. ERGO updates 37,000 staff this way; HeyGen reports 80% savings at Würth.","published","AI avatar video turns a script or an existing recording into a presenter video in many languages, for executive updates, product education and marketing. Communications and marketing teams review the script and the translation, then publish, instead of booking talent, a studio and a voice artist again each time a line or a language changes.",[12,13,14,15,16],"AI presenter video","AI video translation for business","avatar video for internal communications","synthetic presenter video","AI explainer video",[18,19,20,21,22,23],"cross-industry","insurance","technology","manufacturing","travel-and-hospitality","pharma-and-life-sciences",[25],"marketing",[27,28],"content-generation","translation",[30,31],"internal-tools","digital-human","employee-facing","copilot","early-adopters","A video made the traditional way is fixed the moment it is filmed. Changing one sentence means\ngetting the presenter and the crew back: HubSpot's video team describes a small change taking\ndays because of the schedules of the talent and the film crew, and a week or two of waiting for\ntranslated transcripts. Miro's learning media team describes a changed button, icon or line of\ncopy meaning a reshoot, and HENNGE's investor relations team needed at least a day of studio\nshooting with its executives for each investor update, and a week for the English and Japanese\nversions.\n\nLanguages multiply the cost. HeyGen's case study puts studio voiceovers at Würth at €800 to\n€1,200 for 10 minutes of audio, and Würth's team says it tried adding subtitles in other\nlanguages to the English version when voice artists were too expensive. Workday says it was\nspending hundreds of thousands of dollars a year on localization and sometimes turned projects\ndown, especially long webinars.",[],"1. **Write or collect the script.** The team starts from a script, a slide deck, a blog article or\n   a recording. HubSpot drops a blog URL into the tool to get a first script, and SimCorp's\n   colleagues send scripts, slides or self recorded clips to one specialist.\n2. **Choose the presenter.** A stock avatar, or a custom avatar of a real executive or expert, as\n   HENNGE created for two of its executives. Any likeness of a real person needs that person's\n   written consent. The video is generated from the text, so a line can be changed afterward\n   without a reshoot.\n3. **Translate.** The tool translates the script and the voice into the languages needed. Workday\n   loads its approved term base so the translation uses the right terms, and Workday's linguists\n   proofread the translation inside the tool.\n4. **Review and sign off.** A communications or marketing owner checks the content, and a native\n   speaker checks the translation for visible or high risk material.\n5. **Publish where people are.** Würth's regional executives post monthly updates to the intranet,\n   which serves each employee the version in their language. ERGO distributes its group news video\n   to all employees, and marketing teams attach the video to a launch page or event.\n6. **Update the script, not the video.** When a product, policy or number changes, the team edits\n   the text and regenerates the affected video and languages.",[39,40,41,42],"speed","cost-to-serve","inclusion-and-access","employee-productivity",[44,45,46,47],"processing-time-reduction","cost-reduction","productivity-gain","cycle-time-days",{"referenceOrg":49,"inputs":50,"formula":78,"currency":79,"period":80,"resultLabel":81,"caveat":82},"A software company that localizes 60 marketing, product and internal videos a year",[51,57,64,71],{"key":52,"label":53,"low":54,"high":54,"unit":55,"note":56},"videosPerYear","Videos localized per year",60,"videos per year","The reference team. Replace with your own volume.",{"key":58,"label":59,"low":60,"high":61,"unit":62,"note":63},"languagesPerVideo","Languages added per video",4,8,"languages","Within the 10 languages HeyGen reports for Würth's executive updates and the 7 languages HeyGen reports for Miro.",{"key":65,"label":66,"low":67,"high":68,"unit":69,"note":70},"costPerLanguageVersion","Cost of one localized version today (translation, voice, editing)",400,1200,"USD per version","Editorial assumption in dollars. HeyGen's case study puts Würth's studio voiceovers at €800 to €1,200 for 10 minutes, so shorter videos sit lower.",{"key":72,"label":73,"low":74,"high":75,"unit":76,"note":77},"savedShare","Share of that cost avoided with AI translation and avatar generation",0.5,0.8,"fraction of cost","HeyGen reports 80% lower cost than studio voiceovers at Würth. That is the vendor's best case and covers voiceover only, so the high value applies it to a wider cost and the low value is more cautious because review time stays.","videosPerYear * languagesPerVideo * costPerLanguageVersion * savedShare","USD","per year","Annual localization spend avoided","Counts translation, voice and editing spend only. It leaves out license costs, the review time of native speakers and communications owners, the value of faster launches, and any change in viewership or engagement. Every saving reported on this page comes from a vendor's case study, and none is independently measured.",[],{"complexity":85,"complexityNote":86,"dataPrerequisites":87,"integrations":92},"low","Avatar and translation tools such as HeyGen and Synthesia hold the whole production chain, as the deployments on this page show, so the build is mostly about the intranet or video platform that carries the output, single sign on, the approved term base and brand kit, and written consent for any avatar or cloned voice of a real person. Regulated groups add data governance and ISO certification checks, as ERGO describes for its rollout.",[88,89,90,91],"Approved scripts, slide decks or recordings for each video","A brand kit and an approved term base per language","Written consent for any custom avatar or cloned voice of a real person","A list of target languages with a named native speaker reviewer for each",[93,94,95,96],"Intranet or internal video platform","Marketing website, event platform or learning platform that hosts the video","Single sign on and access control for the video tool","Translation memory or term base tools",{"steps":98,"guardrails":114,"humanInTheLoop":120,"kpisToInstrument":121,"failureModes":127},[99,102,105,108,111],{"title":100,"detail":101},"Start with content that changes or needs languages","Pick executive updates, product explainers or launch videos that are reshot often or sit in English only. Würth started with monthly executive updates and Workday with its webinars and marketing videos.",{"title":103,"detail":104},"Agree the rules for synthetic people","Decide which avatars and voices may be used, record written consent from every executive or expert whose likeness is modeled, and decide how videos are labeled as AI generated.",{"title":106,"detail":107},"Load the terms and the brand kit","Upload the approved term base and brand templates before the first video, so translations and layouts stay on brand. Workday loads its term base into the tool and SimCorp built a branded template that colleagues' content flows into.",{"title":109,"detail":110},"Put a native speaker in the review loop","Machine translation reaches a usable draft in minutes, and a native speaker or in house linguist fixes terms, tone and names before release, as Workday's linguists do inside the tool.",{"title":112,"detail":113},"Publish through the channel people already use","Serve each viewer the version in their language from the intranet or the launch page, and measure views and completion per language, not only production time.",[115,116,117,118,119],"Every video reviewed and approved by a named owner before it is published","Translations checked by a native speaker for external or high stakes content","No avatar or cloned voice of a real person without written consent, and a leaver process that retires it","AI generated video labeled as such, in line with the transparency rules that apply","Executive messages on legal, financial or personnel matters approved by the executive in person","A communications or marketing owner approves each script and each video, a native speaker approves each translation that leaves the company, and the person whose likeness is used approves what is said in their name when the topic is sensitive.",[122,123,124,125,126],"Days from final script to published video, per language","Cost per localized version, before and after","Videos published per month and per team","Views and completion rate per language version","Corrections raised by native speakers per translated video",[128,131,134,137],{"title":129,"detail":130},"Mistranslation that reaches staff or customers","A term, name or tone is wrong in a language nobody on the team reads. Require native speaker review for external content and keep the term base current.",{"title":132,"detail":133},"A likeness used beyond its consent","An executive's avatar or voice keeps speaking after they leave or on topics they never approved. Keep consent records, scope them to topics and retire avatars with the person.",{"title":135,"detail":136},"Videos that feel artificial","Viewers lose attention or trust when delivery sounds flat. Test with a sample of viewers, adjust voice settings and keep short formats where they work best.",{"title":138,"detail":139},"A library that grows faster than it is maintained","Cheap production fills the intranet with videos that go out of date. Assign an owner and a review date to each video and retire what nobody watches.",{"euAiAct":141,"regulations":144,"guidance":147,"controls":159,"incidents":164},{"tier":142,"basis":143},"limited","Generating presenter video is not listed in Annex III. Providers of tools that generate synthetic video must mark the output as AI generated, and deployers must disclose deep fakes, such as an avatar or cloned voice of a real executive that would falsely appear authentic (Article 50(2) and (4)). The tier changes only if the same system also decides on access to work or services, which these deployments do not describe.",[145,146],"eu-ai-act","gdpr",[148,154],{"title":149,"issuer":150,"region":151,"url":152,"note":153},"Article 50, transparency obligations for providers and deployers of certain AI systems","European Union","europe","https:\u002F\u002Fartificialintelligenceact.eu\u002Farticle\u002F50\u002F","Marking of synthetic video and audio by providers, and disclosure of deep fakes by deployers.",{"title":155,"issuer":156,"region":151,"url":157,"note":158},"Code of Practice on Transparency of AI generated Content","European Commission","https:\u002F\u002Fdigital-strategy.ec.europa.eu\u002Fen\u002Fpolicies\u002Fcode-practice-ai-generated-content","Supports compliance with the marking and labeling duties for AI generated content.",[160,161,162,163],"Register of avatars and cloned voices in use, with consent records and an owner","Labeling policy for AI generated video, applied at publication","Approved term base and brand kit per language, with a change owner","Review log showing who approved each script and translation",[],{"howToBuild":166},"Blits.ai does not render presenter video files, so the video itself comes from a dedicated\navatar video tool. The work before and after it can run on Blits.ai. An **agentic workflow**\ntakes the approved source documents from the **knowledge base**, drafts the script, translates it\nwith **machine translation** and **multi language** content, and waits for **human in the loop**\napproval by the communications owner and the native speaker reviewer before the script is\nexported, with an audit trail per run. **Text to speech** across many providers, with custom\nand cloned voices, covers audio only versions of the same message.\n\nThe same knowledge base can power an **AI agent** that answers employees' or customers' follow up\nquestions about the announcement in **Microsoft Teams**, web chat or through a **digital human**\nwhere a live face helps. The platform is **model agnostic**, and **test suites** check that\ntranslated answers stay faithful to the approved source text.",[168,171,174],{"question":169,"answer":170},"How much does AI avatar video save?","Vendors report large savings: HeyGen cites 80% lower cost than studio voiceovers at Würth and a 10x production speed gain at Miro, and Synthesia cites a 50% time saving on investor update videos at HENNGE. All of these come from vendor case studies and none is independently measured, and review time by native speakers and communications owners is not counted.",{"question":172,"answer":173},"Is this the same as AI dubbing or training content creation?","They overlap in tools but differ in the job. This page covers executive, product and marketing videos. AI dubbing for video covers translating the audio of finished titles, and training content creation covers courses, quizzes and learning paths.",{"question":175,"answer":176},"Do we have to tell viewers that a video uses an AI avatar?","Under the EU AI Act, providers must mark synthetic video as AI generated and deployers must disclose deep fakes, meaning generated content that resembles a real person and would falsely appear authentic, such as an avatar or voice of a real executive. Labeling every AI generated video is the simple policy. HeyGen's case study about Workday lists avoiding deceptive practices such as lip syncing among its results.",[178,179,180,181,182],"training-content-generation","ai-dubbing-and-voice-localization-for-video","marketing-and-product-content-localization","ad-creative-generation-and-testing","sign-language-avatar-translation","2026-10-14",[185],{"date":183,"note":186},"First published","corporate-and-marketing-avatar-video",[189,226,248,273,296,322,359,382,403],{"title":190,"useCases":191,"organization":192,"vendors":197,"summary":201,"stage":202,"year":203,"channels":204,"languages":205,"metrics":206,"outcomeDisclosed":216,"sources":217,"verification":221,"grade":223,"id":224,"organizationSlug":225},"ERGO: group news videos for 37,000 employees",[187],{"name":193,"anonymized":194,"country":195,"region":151,"industry":19,"wikidata":196},"ERGO Group",false,"DE","Q541909",[198],{"name":199,"role":200},"Synthesia","platform","ERGO, the Düsseldorf insurance group that is part of Munich Re, distributes its group wide \"ERGO News\" updates to all 37,000 employees in more than 20 countries as videos produced with Synthesia. The program replaced slide decks and repeated explanations by individual employees. Synthesia reports that content which once needed weeks of coordination now takes minutes, that one video is localized for several languages after production, and that Synthesia is used across departments from process documentation to board level messaging. The page gives no measured saving beyond that description, and the claims come from the vendor's case study.","scaled",2026,[30],[],[207],{"kpi":208,"value":209,"unit":210,"qualifier":211,"baseline":212,"claimant":213,"quote":214,"sourceUrl":215},"users-served",37000,"count","exact","employees who receive the group wide ERGO News videos","vendor","Its most impactful application is the ERGO News program — group-wide updates distributed across all business units and to all 37,000 employees, produced entirely through Synthesia.","https:\u002F\u002Fwww.synthesia.io\u002Fcase-studies\u002Fergo",true,[218],{"url":215,"title":219,"publisher":199,"date":220},"ERGO turns a communication tool into a communication culture","2026-09-23",{"level":222,"checkedAt":183},"source-verified","C","ergo-synthesia-group-news-video",null,{"title":227,"useCases":228,"organization":229,"vendors":234,"summary":237,"stage":238,"year":203,"channels":239,"languages":240,"metrics":241,"outcomeDisclosed":194,"sources":242,"verification":246,"grade":223,"id":247,"organizationSlug":225},"HubSpot: blog and product videos made and translated with HeyGen",[187],{"name":230,"anonymized":194,"country":231,"region":232,"industry":20,"wikidata":233},"HubSpot","US","global","Q5926631",[235],{"name":236,"role":200},"HeyGen","HubSpot's marketing and audience development team used to wait days for talent and crew when a line in a video changed, and one or two weeks for translated video transcripts. The team now uses HeyGen avatars to edit finished videos in minutes, translate them into other languages, and pair blog articles with videos by dropping in the article URL to get a first script. The case study gives no figures, so the record describes the workflow and the vendor's account without a metric.","production",[],[],[],[243],{"url":244,"title":245,"publisher":236},"https:\u002F\u002Fwww.heygen.com\u002Fcustomer-stories\u002Fhubspot","How HubSpot is accelerating AI powered video creation to support global teams with HeyGen",{"level":222,"checkedAt":183},"hubspot-heygen-video-creation-and-localization",{"title":249,"useCases":250,"organization":251,"vendors":253,"summary":255,"stage":238,"year":256,"channels":257,"languages":258,"metrics":261,"outcomeDisclosed":216,"sources":268,"verification":271,"grade":223,"id":272,"organizationSlug":225},"Miro: product education videos made and translated with HeyGen",[187],{"name":252,"anonymized":194,"country":231,"region":232,"industry":20},"Miro",[254],{"name":236,"role":200},"Miro's learning media team makes the tutorials and onboarding videos that explain new features to its customers. Any change to a button, an icon or a line of copy used to mean a reshoot with talent and a post production team. The team now writes scripts, generates avatar videos in HeyGen, updates the script mid production and translates the videos into seven languages. HeyGen reports a 10x increase in production speed and a 5x increase in capacity without added headcount. The figures come from the vendor's case study.",2025,[],[259,260],"en","nl",[262],{"kpi":46,"value":263,"unit":264,"qualifier":211,"baseline":265,"claimant":213,"quote":266,"sourceUrl":267},10,"multiplier","video production speed before HeyGen","With HeyGen, Miro achieved a 10x increase in video production speed and a 5x increase in overall video creation capacity, without needing additional headcount.","https:\u002F\u002Fwww.heygen.com\u002Fcustomer-stories\u002Fmiro",[269],{"url":267,"title":270,"publisher":236},"Miro increased video production speed by 10x to scale content for 90M users",{"level":222,"checkedAt":183},"miro-heygen-product-education-videos",{"title":274,"useCases":275,"organization":276,"vendors":279,"summary":281,"stage":238,"year":256,"channels":282,"languages":283,"metrics":284,"outcomeDisclosed":216,"sources":291,"verification":294,"grade":223,"id":295,"organizationSlug":225},"Workday: marketing and internal videos localized with HeyGen",[187],{"name":277,"anonymized":194,"country":231,"region":232,"industry":20,"wikidata":278},"Workday","Q8034666",[280],{"name":236,"role":200},"Workday's globalization production team localizes marketing videos, internal communications and long form webinars, with stakeholder requests commonly spanning 10 to 15 languages per project. The manual workflow of translators, voice actors and post production specialists took weeks or months and cost hundreds of thousands of dollars a year, so some projects were turned down. The team now uses HeyGen to translate videos in minutes, with linguists proofreading inside the tool against an approved term base. HeyGen reports a 100% increase in capacity without added headcount. The figure comes from the vendor's case study.",[30],[],[285],{"kpi":46,"value":286,"unit":287,"qualifier":211,"baseline":288,"claimant":213,"quote":289,"sourceUrl":290},100,"percent","localization capacity of the globalization team before HeyGen, without adding headcount","Cost efficiency: Significant savings via flat-rate pricing; 100% increase in capacity without adding headcount.","https:\u002F\u002Fwww.heygen.com\u002Fcustomer-stories\u002Fworkday",[292],{"url":290,"title":293,"publisher":236},"Workday cuts localization time from months to hours with HeyGen",{"level":222,"checkedAt":183},"workday-heygen-video-localization",{"title":297,"useCases":298,"organization":299,"vendors":302,"summary":304,"stage":238,"year":256,"channels":305,"languages":306,"metrics":307,"outcomeDisclosed":216,"sources":317,"verification":320,"grade":223,"id":321,"organizationSlug":225},"Würth Group: executive updates and product videos in up to 10 languages",[187],{"name":300,"anonymized":194,"country":195,"region":232,"industry":21,"wikidata":301},"Würth Group","Q679750",[303],{"name":236,"role":200},"Würth, the fastening and assembly materials group with 88,000 employees in more than 80 countries, used studio voiceovers at €800 to €1,200 for 10 minutes of audio, or added subtitles in other languages to the English version, to reach staff with executive messages. Regional executives now record monthly updates once and translate them with HeyGen into up to 10 languages for the intranet, and product trainers translate recorded workshops the same way. HeyGen reports 80% lower cost than studio voiceovers and a 65 minute presentation by the CEO and the owner translated into eight languages in four working days instead of at least eight. The figures come from the vendor's case study.",[30],[],[308,313],{"kpi":45,"value":309,"unit":287,"qualifier":211,"baseline":310,"claimant":213,"quote":311,"sourceUrl":312},80,"studio voiceovers for translated executive presentations","Cost savings: By replacing traditional studio voiceovers with HeyGen's AI translation capabilities, Würth achieved 80% cost savings.","https:\u002F\u002Fwww.heygen.com\u002Fcustomer-stories\u002Fwurth-group",{"kpi":47,"value":60,"unit":314,"qualifier":211,"baseline":315,"claimant":213,"quote":316,"sourceUrl":312},"days","at least eight days with the traditional process, for a 65 minute presentation translated into eight languages","A recent 65-minute presentation from the CEO and the company owner, translated into eight languages, was completed in four working days—a process that would have traditionally taken at least eight days.",[318],{"url":312,"title":319,"publisher":236},"How the Würth Group leverages HeyGen to reduce video translation costs by 80%",{"level":222,"checkedAt":183},"wurth-group-heygen-executive-video-translation",{"title":323,"useCases":324,"organization":325,"vendors":330,"summary":332,"stage":238,"year":333,"channels":334,"languages":335,"metrics":338,"outcomeDisclosed":216,"sources":354,"verification":357,"grade":223,"id":358,"organizationSlug":225},"Avantor: AI generated video for a product launch in Korea",[187],{"name":326,"anonymized":194,"country":327,"region":328,"industry":23,"wikidata":329},"Avantor","KR","asia-pacific","Q104842834",[331],{"name":199,"role":200},"Avantor's digital marketing team for Asia, the Middle East and Africa launched its J.T.Baker LC\u002FMS solvents and reagents in Korea with an AI generated video in Korean, Chinese and English instead of an off site shoot with field researchers. The video anchored an online launch event run from 18 June to 5 July that drew 118 participants and 44 new customer data entries. Synthesia reports about 70% savings against the earlier filming and a go to market timeline cut by half, and quotes the digital marketing campaign manager crediting the campaign with notable revenue growth. Synthesia's own narrative adds that the campaign became a core revenue contributor in the second half of 2024. These are vendor case study figures, not audited results.",2024,[],[336,337,259],"ko","zh",[339,345,349],{"kpi":45,"value":340,"unit":287,"qualifier":341,"baseline":342,"claimant":213,"quote":343,"sourceUrl":344},70,"approximately","previous off site filming for product promotion","Reduced Costs: The promotional campaign saw a substantial cost reduction by leveraging Synthesia, resulting in approximately 70% savings compared to previous off-site filming.","https:\u002F\u002Fwww.synthesia.io\u002Fcase-studies\u002Favantor",{"kpi":44,"value":346,"unit":287,"qualifier":211,"baseline":347,"claimant":213,"quote":348,"sourceUrl":344},50,"go to market timeline with traditional production","Faster Launch Enablement: By replacing time-consuming traditional production with AI video, Avantor cut its go-to-market timeline by 50%.",{"kpi":208,"value":350,"unit":210,"qualifier":211,"period":351,"baseline":352,"claimant":213,"quote":353,"sourceUrl":344},118,"launch event from 18 June to 5 July","participants in the video led online launch event","The online launch event ran from June 18 to July 5 and attracted 118 participants, collecting 44 new customer data entries.",[355],{"url":344,"title":356,"publisher":199},"How Avantor cut costs by 70% and grew its marketing pipeline using AI video",{"level":222,"checkedAt":183},"avantor-synthesia-korea-product-launch-video",{"title":360,"useCases":361,"organization":362,"vendors":366,"summary":368,"stage":238,"year":333,"channels":369,"languages":370,"metrics":371,"outcomeDisclosed":216,"sources":377,"verification":380,"grade":223,"id":381,"organizationSlug":225},"SimCorp: AI avatar explainer videos for sales and events",[187],{"name":363,"anonymized":194,"country":364,"region":151,"industry":20,"wikidata":365},"SimCorp","DK","Q3424662",[367],{"name":199,"role":200},"A senior branding specialist at SimCorp, an investment management software provider with more than 3,000 employees, builds external product explainer videos for sales pitches, events and marketing. Colleagues send scripts, slides or self recorded clips, and he turns them into branded videos with a Synthesia template and an avatar, so colleagues who dislike filming themselves no longer have to. Synthesia reports more than 300 videos made by this one person and a fivefold speed gain over the earlier editing workflow. Both figures are from the vendor's case study.",[30],[259],[372],{"kpi":46,"value":373,"unit":264,"qualifier":211,"baseline":374,"claimant":213,"quote":375,"sourceUrl":376},5,"video production speed with traditional video editing tools","Time savings: Mochie can now produce videos five times faster than before.","https:\u002F\u002Fwww.synthesia.io\u002Fcase-studies\u002Fsimcorp",[378],{"url":376,"title":379,"publisher":199},"How SimCorp enhanced its explainer videos, 5x faster",{"level":222,"checkedAt":183},"simcorp-synthesia-product-explainer-videos",{"title":383,"useCases":384,"organization":385,"vendors":388,"summary":390,"stage":238,"year":333,"channels":391,"languages":392,"metrics":393,"outcomeDisclosed":216,"sources":398,"verification":401,"grade":223,"id":402,"organizationSlug":225},"trivago: TV ads localized for 30 markets with HeyGen",[187],{"name":386,"anonymized":194,"country":195,"region":232,"industry":22,"wikidata":387},"trivago","Q265286",[389],{"name":236,"role":200},"trivago wanted one on screen brand face, Mr. trivago, speaking every market's language in its TV ads, and had no practical way to find one actor for dozens of languages or to polish accents in post production. The creative team tested several generative AI platforms and used HeyGen's translation and text to speech to localize the ads for 30 markets. HeyGen reports that post production time fell by half, saving 3 to 4 months, and that ads in 15 locations were localized in three months. The figures are from the vendor's case study.",[],[],[394],{"kpi":44,"value":346,"unit":287,"qualifier":211,"baseline":395,"claimant":213,"quote":396,"sourceUrl":397},"post production time for localized TV ads","The technology has cut post-production time in half, saving teams an impressive 3-4 months on average.","https:\u002F\u002Fwww.heygen.com\u002Fcustomer-stories\u002Ftrivago",[399],{"url":397,"title":400,"publisher":236},"Trivago streamlines global ad localization with HeyGen",{"level":222,"checkedAt":183},"trivago-heygen-tv-ad-localization",{"title":404,"useCases":405,"organization":406,"vendors":410,"summary":412,"stage":238,"year":413,"channels":414,"languages":415,"metrics":417,"outcomeDisclosed":216,"sources":422,"verification":425,"grade":223,"id":426,"organizationSlug":225},"HENNGE: AI avatar videos for quarterly investor updates",[187],{"name":407,"anonymized":194,"country":408,"region":328,"industry":20,"wikidata":409},"HENNGE","JP","Q96313609",[411],{"name":199,"role":200},"HENNGE, a Tokyo listed cloud security company, stopped holding investor meetings in person after COVID and moved to video, but shooting its executives for each quarter took a studio day and a week for an English and Japanese version. The investor relations team now makes two custom avatars of its executives in Synthesia and generates the quarterly update videos from a desk. Synthesia reports that the process fell from 5 days to 2.5 days, a figure from the vendor's case study rather than a measurement by HENNGE.",2023,[30],[259,416],"ja",[418],{"kpi":44,"value":346,"unit":287,"qualifier":211,"baseline":419,"claimant":213,"quote":420,"sourceUrl":421},"video creation process of 5 days per quarterly investor update","Time savings: The team was able to reduce the video creation process from 5 days to 2.5 days, resulting in a 50% time savings.","https:\u002F\u002Fwww.synthesia.io\u002Fcase-studies\u002Fhennge",[423],{"url":421,"title":424,"publisher":199},"How HENNGE creates investor update videos in half the time",{"level":222,"checkedAt":183},"hennge-synthesia-investor-update-videos",0,[429,437,445,452,458],{"kpi":44,"label":430,"unit":287,"aggregate":216,"higherIsBetter":216,"n":431,"nUpTo":427,"median":346,"min":346,"max":346,"byClaimant":432,"vendorOnly":216,"points":433},"Cycle time reduction",3,{"organization":427,"vendor":431,"regulator":427,"independent":427},[434,435,436],{"evidenceId":358,"organization":326,"value":346,"qualifier":211,"claimant":213,"grade":223,"pooled":216},{"evidenceId":426,"organization":407,"value":346,"qualifier":211,"claimant":213,"grade":223,"pooled":216},{"evidenceId":402,"organization":386,"value":346,"qualifier":211,"claimant":213,"grade":223,"pooled":216},{"kpi":45,"label":438,"unit":287,"aggregate":216,"higherIsBetter":216,"n":439,"nUpTo":427,"median":440,"min":340,"max":309,"byClaimant":441,"vendorOnly":216,"points":442},"Cost reduction",2,75,{"organization":427,"vendor":439,"regulator":427,"independent":427},[443,444],{"evidenceId":321,"organization":300,"value":309,"qualifier":211,"claimant":213,"grade":223,"pooled":216},{"evidenceId":358,"organization":326,"value":340,"qualifier":341,"claimant":213,"grade":223,"pooled":216},{"kpi":46,"label":446,"unit":264,"aggregate":216,"higherIsBetter":216,"n":439,"nUpTo":427,"median":447,"min":373,"max":263,"byClaimant":448,"vendorOnly":216,"points":449},"Productivity gain",7.5,{"organization":427,"vendor":439,"regulator":427,"independent":427},[450,451],{"evidenceId":272,"organization":252,"value":263,"qualifier":211,"claimant":213,"grade":223,"pooled":216},{"evidenceId":381,"organization":363,"value":373,"qualifier":211,"claimant":213,"grade":223,"pooled":216},{"kpi":47,"label":453,"unit":314,"aggregate":194,"higherIsBetter":194,"n":454,"nUpTo":427,"median":60,"min":60,"max":60,"byClaimant":455,"vendorOnly":216,"points":456},"Cycle time",1,{"organization":427,"vendor":454,"regulator":427,"independent":427},[457],{"evidenceId":321,"organization":300,"value":60,"qualifier":211,"claimant":213,"grade":223,"pooled":216},{"kpi":46,"label":446,"unit":287,"aggregate":216,"higherIsBetter":216,"n":454,"nUpTo":427,"median":286,"min":286,"max":286,"byClaimant":459,"vendorOnly":216,"points":460},{"organization":427,"vendor":454,"regulator":427,"independent":427},[461],{"evidenceId":295,"organization":277,"value":286,"qualifier":211,"claimant":213,"grade":223,"pooled":216},{"low":463,"high":464},48000,460800,[466,500,520,537,562],{"slug":178,"title":467,"shortTitle":468,"definition":469,"status":9,"industries":470,"functions":472,"patterns":475,"audience":32,"autonomy":33,"adoptionStage":34,"evidenceCount":477,"publicEvidenceCount":477,"organizations":478,"bestGrade":495,"headline":496,"lastVerified":499,"indexable":216},"AI for creating employee training and eLearning content","Training content creation","Training content generation is AI that helps learning and development teams turn source material into employee training content. It turns procedures, product documentation and policies into course outlines, lesson text, quizzes, narration, avatar videos and translations, which instructional designers and subject matter experts review before publishing.",[18,471,20,21],"government",[473,474],"human-resources","knowledge-management",[27,28,476],"summarization",16,[479,480,481,482,483,484,485,486,487,488,489,490,491,492,493,494],"Carlsberg Group","Five Below","Heineken","Internal Revenue Service","Komatsu","LATAM Airlines","Merck KGaA","Mondelez International","Northumbria Healthcare NHS Foundation Trust","Novelis","Ryanair","Sibelco","Sky Italia","U.S. Marshals Service","Veterans Benefits Administration","Zoom","B",{"kpi":44,"label":430,"unit":287,"n":60,"nUpTo":427,"kind":497,"value":498,"qualifier":211,"claimant":213,"organization":225,"vendorReported":216},"median",84.5,"2026-09-27",{"slug":179,"title":501,"shortTitle":502,"definition":503,"status":9,"industries":504,"functions":506,"patterns":508,"audience":510,"autonomy":511,"adoptionStage":512,"evidenceCount":373,"publicEvidenceCount":373,"organizations":513,"bestGrade":495,"headline":225,"lastVerified":519,"indexable":216},"AI dubbing and voice localization for video","AI dubbing for video","AI dubbing transcribes a video's speech, translates it and generates a synthetic voice track in another language, so titles can be released in languages they were never dubbed into. Publishers and streamers use it for licensed catalogs and creator videos, and Prime Video describes a pilot in which localization professionals work with the AI to control quality.",[505],"media-and-entertainment",[507,25],"operations",[28,27,509],"speech-analytics","customer-facing","supervised-agent","emerging",[514,515,516,517,518],"Coursera","Love TV Channels","Amazon Prime Video","The Economist","YouTube","2026-10-13",{"slug":180,"title":521,"shortTitle":522,"definition":523,"status":9,"industries":524,"functions":527,"patterns":528,"audience":32,"autonomy":511,"adoptionStage":34,"evidenceCount":373,"publicEvidenceCount":373,"organizations":529,"bestGrade":223,"headline":535,"lastVerified":499,"indexable":216},"AI localization of marketing, product and web content","Content localization","AI content localization translates and adapts an organization's commercial content for each market and language, so marketing and product teams can reach customers in their own language. It works across campaigns, emails, product pages, help content and websites, using the brand's glossary, style guide and past approved translations, then routes output to human linguists and local marketers for review in proportion to how visible and risky the content is.",[18,525,526,21],"retail-and-ecommerce","professional-services",[25],[28,27],[530,531,532,533,534],"Bosch Digital","The Estee Lauder Companies","Levi's","Lionbridge","Swarovski",{"kpi":44,"label":430,"unit":264,"n":454,"nUpTo":427,"kind":536,"value":263,"qualifier":211,"claimant":213,"organization":534,"vendorReported":216},"reported",{"slug":181,"title":538,"shortTitle":539,"definition":540,"status":9,"industries":541,"functions":542,"patterns":543,"audience":32,"autonomy":33,"adoptionStage":34,"segment":545,"evidenceCount":263,"publicEvidenceCount":263,"organizations":546,"bestGrade":495,"headline":557,"lastVerified":561,"indexable":216},"AI generated ad creative production and testing","Ad creative generation and testing","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.",[18,525],[25],[27,544],"computer-vision","paid-media",[547,548,549,550,551,552,553,554,555,556],"Alibaba Group","bol","Dandy Blend","Event Tickets Center","Falcon Game Studio (OneSoft)","1-800-FLOWERS.COM, Inc.","Funsol Technologies","Hisense Mexico","Lysol (Reckitt)","SeaBank Indonesia",{"kpi":558,"label":559,"unit":287,"n":439,"nUpTo":427,"kind":536,"value":560,"qualifier":341,"claimant":213,"organization":549,"vendorReported":216},"click-through-uplift","Click through uplift",83,"2026-09-29",{"slug":182,"title":563,"shortTitle":564,"definition":565,"status":9,"industries":566,"functions":568,"patterns":571,"audience":510,"autonomy":511,"adoptionStage":512,"evidenceCount":431,"publicEvidenceCount":431,"organizations":572,"bestGrade":223,"headline":225,"lastVerified":561,"indexable":216},"AI sign language avatar translation for public information","Sign language avatar translation","Sign language avatar translation is AI that turns written content and video captions into a sign language such as British or American Sign Language, shown by a rendered signing avatar. This lets Deaf and hard of hearing people get travel updates, public information and training content without waiting for a human interpreter to be filmed or booked.",[471,567,18],"logistics-and-transportation",[569,570,473],"citizen-services","customer-service",[28,27],[573,574,575],"Port Authority of New York and New Jersey","Rail Delivery Group","Transport for All",{"indexable":216,"reasons":577},[],[579,584,589,596,604,611,617,624,631,638,644,650,656,663,670,676,682,688,694,701,706,711,717,724,731,736,741,746,752,757,765,771,776,782,788,793,798],{"id":145,"label":580,"issuer":150,"region":151,"url":581,"description":582,"useCases":583,"indexable":216},"EU AI Act","https:\u002F\u002Feur-lex.europa.eu\u002Feli\u002Freg\u002F2024\u002F1689\u002Foj","Regulation (EU) 2024\u002F1689: risk based rules for AI systems, with obligations for high risk systems listed in Annex III and transparency duties under Article 50.",295,{"id":146,"label":585,"issuer":150,"region":151,"url":586,"description":587,"useCases":588,"indexable":216},"GDPR","https:\u002F\u002Feur-lex.europa.eu\u002Feli\u002Freg\u002F2016\u002F679\u002Foj","General Data Protection Regulation, including Article 22 on decisions based solely on automated processing.",265,{"id":590,"label":591,"issuer":592,"region":232,"url":593,"description":594,"useCases":595,"indexable":216},"iso-42001","ISO\u002FIEC 42001","ISO and IEC","https:\u002F\u002Fwww.iso.org\u002Fstandard\u002F81230.html","The international management system standard for AI.",148,{"id":597,"label":598,"issuer":599,"region":600,"url":601,"description":602,"useCases":603,"indexable":216},"nist-ai-rmf","NIST AI Risk Management Framework","NIST","north-america","https:\u002F\u002Fwww.nist.gov\u002Fitl\u002Fai-risk-management-framework","Voluntary US framework to map, measure, manage and govern AI risk, with a generative AI profile.",115,{"id":605,"label":606,"issuer":607,"region":151,"url":608,"description":609,"useCases":610,"indexable":216},"uk-gdpr","UK GDPR","Information Commissioner's Office","https:\u002F\u002Fico.org.uk\u002Ffor-organisations\u002Fuk-gdpr-guidance-and-resources\u002F","The UK's version of the GDPR, including rules on solely automated decisions.",84,{"id":612,"label":613,"issuer":150,"region":151,"url":614,"description":615,"useCases":616,"indexable":216},"dora","DORA","https:\u002F\u002Feur-lex.europa.eu\u002Feli\u002Freg\u002F2022\u002F2554\u002Foj","Digital Operational Resilience Act for financial entities: ICT risk, incident reporting and third party risk, including AI providers.",73,{"id":618,"label":619,"issuer":620,"region":151,"url":621,"description":622,"useCases":623,"indexable":216},"uk-consumer-duty","FCA Consumer Duty","Financial Conduct Authority","https:\u002F\u002Fwww.fca.org.uk\u002Ffirms\u002Fconsumer-duty","UK rules that require firms to deliver good outcomes for retail customers, including through automated channels.",53,{"id":625,"label":626,"issuer":627,"region":328,"url":628,"description":629,"useCases":630,"indexable":216},"mas-ai-risk-management","MAS AI risk management guidelines","Monetary Authority of Singapore","https:\u002F\u002Fwww.mas.gov.sg\u002Fnews\u002Fmedia-releases\u002F2025\u002Fmas-guidelines-for-artificial-intelligence-risk-management","Singapore's supervisory expectations for AI risk management at financial institutions, building on the FEAT principles.",37,{"id":632,"label":633,"issuer":634,"region":328,"url":635,"description":636,"useCases":637,"indexable":216},"apra-cps-230","APRA CPS 230","Australian Prudential Regulation Authority","https:\u002F\u002Fwww.apra.gov.au\u002Foperational-risk-management","Australian operational risk standard covering critical operations and material service providers.",26,{"id":639,"label":640,"issuer":150,"region":151,"url":641,"description":642,"useCases":643,"indexable":216},"nis2","NIS2 Directive","https:\u002F\u002Feur-lex.europa.eu\u002Feli\u002Fdir\u002F2022\u002F2555\u002Foj","Directive (EU) 2022\u002F2555 on cybersecurity for essential and important entities, including telecom networks, energy and public administration.",23,{"id":645,"label":646,"issuer":647,"region":232,"url":648,"description":649,"useCases":643,"indexable":216},"pci-dss","PCI DSS","PCI Security Standards Council","https:\u002F\u002Fwww.pcisecuritystandards.org\u002F","Security standard for any system that stores, processes or transmits cardholder data.",{"id":651,"label":652,"issuer":653,"region":600,"url":654,"description":655,"useCases":643,"indexable":216},"us-sr-11-7","SR 11-7 model risk management","Federal Reserve and OCC","https:\u002F\u002Fwww.federalreserve.gov\u002Fboarddocs\u002Fsrletters\u002F2011\u002Fsr1107.htm","US supervisory guidance on model risk management, applied by banks to AI and machine learning models.",{"id":657,"label":658,"issuer":659,"region":600,"url":660,"description":661,"useCases":662,"indexable":216},"hipaa","HIPAA","US Department of Health and Human Services","https:\u002F\u002Fwww.hhs.gov\u002Fhipaa\u002Findex.html","US rules for the privacy and security of protected health information.",20,{"id":664,"label":665,"issuer":666,"region":151,"url":667,"description":668,"useCases":669,"indexable":216},"uk-atrs","UK Algorithmic Transparency Recording Standard","UK Government","https:\u002F\u002Fwww.gov.uk\u002Fgovernment\u002Fcollections\u002Falgorithmic-transparency-recording-standard-hub","Mandatory transparency records for algorithmic tools used by UK central government.",18,{"id":671,"label":672,"issuer":150,"region":151,"url":673,"description":674,"useCases":675,"indexable":216},"eu-accessibility-act","European Accessibility Act","https:\u002F\u002Feur-lex.europa.eu\u002Feli\u002Fdir\u002F2019\u002F882\u002Foj","Directive (EU) 2019\u002F882: accessibility requirements for banking services, ecommerce and other digital services, applicable since June 2025.",15,{"id":677,"label":678,"issuer":679,"region":232,"url":680,"description":681,"useCases":675,"indexable":216},"fatf-recommendations","FATF Recommendations","Financial Action Task Force","https:\u002F\u002Fwww.fatf-gafi.org\u002Fen\u002Fpublications\u002FFatfrecommendations\u002FFatf-recommendations.html","Global standards for anti money laundering and counter terrorist financing that national rules implement.",{"id":683,"label":684,"issuer":685,"region":600,"url":686,"description":687,"useCases":675,"indexable":216},"us-tcpa","Telephone Consumer Protection Act","Federal Communications Commission","https:\u002F\u002Fwww.fcc.gov\u002Fconsumers\u002Fguides\u002Fstop-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":689,"label":690,"issuer":150,"region":151,"url":691,"description":692,"useCases":693,"indexable":216},"eu-amlr","EU Anti Money Laundering Regulation","https:\u002F\u002Feur-lex.europa.eu\u002Feli\u002Freg\u002F2024\u002F1624\u002Foj","Regulation (EU) 2024\u002F1624: the single EU rulebook for customer due diligence, beneficial ownership and suspicious transaction reporting.",14,{"id":695,"label":696,"issuer":697,"region":600,"url":698,"description":699,"useCases":700,"indexable":216},"us-bsa","Bank Secrecy Act","FinCEN","https:\u002F\u002Fwww.fincen.gov\u002Fresources\u002Fstatutes-and-regulations\u002Fbank-secrecy-act","US anti money laundering law: customer due diligence, suspicious activity reports and record keeping.",13,{"id":702,"label":703,"issuer":150,"region":151,"url":704,"description":705,"useCases":700,"indexable":216},"eu-psd2","PSD2","https:\u002F\u002Feur-lex.europa.eu\u002Feli\u002Fdir\u002F2015\u002F2366\u002Foj","Payment Services Directive 2: strong customer authentication, transaction risk analysis exemptions and open banking access.",{"id":707,"label":708,"issuer":150,"region":151,"url":709,"description":710,"useCases":700,"indexable":216},"solvency-ii","Solvency II","https:\u002F\u002Feur-lex.europa.eu\u002Feli\u002Fdir\u002F2009\u002F138\u002Foj","Directive 2009\u002F138\u002FEC: risk based capital, governance and model requirements for insurers.",{"id":712,"label":713,"issuer":714,"region":232,"url":715,"description":716,"useCases":700,"indexable":216},"telecom-consumer-rules","Telecom consumer protection rules","National telecom regulators","https:\u002F\u002Fwww.berec.europa.eu\u002F","National rules on telecom contracts, switching, billing disputes and marketing consent.",{"id":718,"label":719,"issuer":720,"region":600,"url":721,"description":722,"useCases":723,"indexable":216},"us-ecoa-reg-b","ECOA and Regulation B","Consumer Financial Protection Bureau","https:\u002F\u002Fwww.consumerfinance.gov\u002Frules-policy\u002Fregulations\u002F1002\u002F9\u002F","US fair lending rules, including specific reasons in adverse action notices, which also apply when credit decisions use AI models.",12,{"id":725,"label":726,"issuer":727,"region":151,"url":728,"description":729,"useCases":730,"indexable":216},"eba-loan-origination","EBA Guidelines on loan origination and monitoring","European Banking Authority","https:\u002F\u002Fwww.eba.europa.eu\u002Fregulation-and-policy\u002Fcredit-risk\u002Fguidelines-on-loan-origination-and-monitoring","Expectations for credit decisioning, including the use of automated models.",11,{"id":732,"label":733,"issuer":150,"region":151,"url":734,"description":735,"useCases":730,"indexable":216},"eecc","European Electronic Communications Code","https:\u002F\u002Feur-lex.europa.eu\u002Feli\u002Fdir\u002F2018\u002F1972\u002Foj","Directive (EU) 2018\u002F1972: consumer protection, contract, switching and security rules for telecom operators.",{"id":737,"label":738,"issuer":150,"region":151,"url":739,"description":740,"useCases":730,"indexable":216},"mifid-ii","MiFID II","https:\u002F\u002Feur-lex.europa.eu\u002Feli\u002Fdir\u002F2014\u002F65\u002Foj","Directive 2014\u002F65\u002FEU on markets in financial instruments: suitability and appropriateness of advice, record keeping and product governance.",{"id":742,"label":743,"issuer":627,"region":328,"url":744,"description":745,"useCases":263,"indexable":216},"mas-notice-626","MAS Notice 626","https:\u002F\u002Fwww.mas.gov.sg\u002Fregulation\u002Fnotices\u002Fnotice-626","Singapore's anti money laundering and counter terrorism financing requirements for banks.",{"id":747,"label":748,"issuer":749,"region":600,"url":750,"description":751,"useCases":61,"indexable":216},"us-fcra","Fair Credit Reporting Act","Federal Trade Commission","https:\u002F\u002Fwww.ftc.gov\u002Flegal-library\u002Fbrowse\u002Fstatutes\u002Ffair-credit-reporting-act","US rules on consumer reports, their accuracy and permissible use, relevant to credit scoring and screening.",{"id":753,"label":754,"issuer":150,"region":151,"url":755,"description":756,"useCases":61,"indexable":216},"eu-idd","Insurance Distribution Directive","https:\u002F\u002Feur-lex.europa.eu\u002Feli\u002Fdir\u002F2016\u002F97\u002Foj","Directive (EU) 2016\u002F97: conduct rules for selling insurance, including demands and needs testing and advice.",{"id":758,"label":759,"issuer":760,"region":761,"url":762,"description":763,"useCases":764,"indexable":216},"cbuae-ai-guidance","CBUAE guidance on AI and ML","Central Bank of the UAE","middle-east","https:\u002F\u002Fwww.centralbank.ae\u002F","UAE central bank expectations for the enabling technologies, AI and machine learning used by licensed financial institutions.",6,{"id":766,"label":767,"issuer":768,"region":151,"url":769,"description":770,"useCases":373,"indexable":216},"uk-psr-app-reimbursement","UK APP scam reimbursement rules","Payment Systems Regulator","https:\u002F\u002Fwww.psr.org.uk\u002Four-work\u002Fapp-scams\u002F","Mandatory reimbursement of authorised push payment scam victims by UK payment firms, which shifts scam losses onto banks.",{"id":772,"label":773,"issuer":150,"region":151,"url":774,"description":775,"useCases":60,"indexable":216},"eu-mortgage-credit-directive","EU Mortgage Credit Directive","https:\u002F\u002Feur-lex.europa.eu\u002Feli\u002Fdir\u002F2014\u002F17\u002Foj","Directive 2014\u002F17\u002FEU: creditworthiness assessment, disclosure and advice rules for residential mortgage lending.",{"id":777,"label":778,"issuer":779,"region":151,"url":780,"description":781,"useCases":60,"indexable":216},"pra-ss1-23","PRA SS1\u002F23 model risk management","Prudential Regulation Authority","https:\u002F\u002Fwww.bankofengland.co.uk\u002Fprudential-regulation\u002Fpublication\u002F2023\u002Fmay\u002Fmodel-risk-management-principles-for-banks-ss","UK model risk management principles for banks, covering AI and machine learning models.",{"id":783,"label":784,"issuer":785,"region":328,"url":786,"description":787,"useCases":431,"indexable":216},"au-scams-prevention-framework","Australian Scams Prevention Framework","Australian Treasury","https:\u002F\u002Ftreasury.gov.au\u002Fconsultation\u002Fc2024-573813","Economy wide obligations for banks, telcos and digital platforms to prevent, detect, disrupt and respond to scams.",{"id":789,"label":790,"issuer":150,"region":151,"url":791,"description":792,"useCases":431,"indexable":216},"eu-mar","EU Market Abuse Regulation","https:\u002F\u002Feur-lex.europa.eu\u002Feli\u002Freg\u002F2014\u002F596\u002Foj","Regulation (EU) 596\u002F2014: insider dealing and market manipulation, including the duty to detect and report suspicious orders and transactions.",{"id":794,"label":795,"issuer":627,"region":328,"url":796,"description":797,"useCases":431,"indexable":216},"mas-shared-responsibility-framework","MAS Shared Responsibility Framework","https:\u002F\u002Fwww.mas.gov.sg\u002Fregulation\u002Fguidelines\u002Fguidelines-on-shared-responsibility-framework","Singapore's framework that assigns banks and telcos duties and loss sharing for phishing scams.",{"id":799,"label":800,"issuer":801,"region":600,"url":802,"description":803,"useCases":431,"indexable":216},"nyc-local-law-144","NYC Local Law 144","New York City","https:\u002F\u002Fwww.nyc.gov\u002Fsite\u002Fdca\u002Fabout\u002Fautomated-employment-decision-tools.page","Bias audits and notices for automated employment decision tools used in hiring and promotion in New York City.",1792049859773]