[{"data":1,"prerenderedAt":121},["ShallowReactive",2],{"uc-org-government-digital-service":3},{"organization":4,"includeUnpublished":14,"evidence":15},{"slug":5,"name":6,"country":7,"region":8,"industry":9,"wikidata":10,"records":11,"useCases":12,"indexable":13},"government-digital-service","Government Digital Service","GB","europe","government","Q5588795",3,5,true,false,[16,54,81],{"title":17,"useCases":18,"organization":20,"vendors":21,"summary":25,"stage":26,"year":27,"channels":28,"languages":30,"metrics":32,"outcomeDisclosed":13,"sources":42,"verification":46,"grade":49,"id":50,"useCaseTitles":51},"GOV.UK One Login: face matching and liveness checks for identity proving",[19],"application-and-identity-fraud-detection",{"name":6,"anonymized":14,"country":7,"region":8,"industry":9,"wikidata":10},[22],{"name":23,"role":24},"iProov","platform","In the GOV.UK One Login app, a user takes a selfie and records a short video with prescribed movements. iProov's Dynamic Liveness model matches the face to the photo on the submitted ID document and checks that a live person is present. The register describes the capability as used for all app based identity proving journeys.","scaled",2025,[29],"mobile-app",[31],"en",[33],{"kpi":34,"value":35,"unit":36,"qualifier":37,"period":38,"claimant":39,"quote":40,"sourceUrl":41},"interactions-handled",100000,"count","approximately","unique journeys per month","organization","The tool is used for all app-based identity proving journeys; the app makes up approximately 70% of monthly journeys, which equates to an average of 100,000 unique journeys per month.","https:\u002F\u002Fwww.gov.uk\u002Falgorithmic-transparency-records\u002Fdsit-gov-dot-uk-one-login-liveness-and-likeness-checks",[43],{"url":41,"title":44,"publisher":45},"DSIT: GOV.UK One Login Liveness and Likeness Checks","GOV.UK (Algorithmic Transparency Recording Standard)",{"level":47,"checkedAt":48},"source-verified","2026-11-12","B","gov-uk-one-login-liveness-and-likeness-checks",[52],{"slug":19,"title":53},"AI for application and identity fraud detection",{"title":55,"useCases":56,"organization":58,"vendors":59,"summary":65,"stage":66,"year":27,"channels":67,"languages":68,"metrics":69,"outcomeDisclosed":14,"sources":70,"verification":75,"grade":49,"id":77,"useCaseTitles":78},"Government Digital Service: GOV.UK Chat in the GOV.UK app",[57],"citizen-information-assistant",{"name":6,"anonymized":14,"country":7,"region":8,"industry":9,"wikidata":10},[60,63],{"name":61,"role":62},"Anthropic","model-provider",{"name":64,"role":24},"Amazon Web Services","GOV.UK Chat is a retrieval augmented generation assistant in the GOV.UK app that answers questions from GOV.UK guidance only, with links to the source pages under every answer. It retrieves from a vector index of roughly 100,000 GOV.UK pages, uses Claude Sonnet 4 on Amazon Bedrock in the EU, rejects questions that contain common personal data patterns, and runs every answer through a second model check on advice, language, tone and quality before the user sees it. The transparency record describes a limited test with up to 2,000 users over four weeks; it makes no decisions about users.","pilot",[29],[31],[],[71],{"url":72,"title":73,"publisher":45,"date":74},"https:\u002F\u002Fwww.gov.uk\u002Falgorithmic-transparency-records\u002Fdsit-gov-dot-uk-chat","DSIT: GOV.UK Chat","2025-10-07",{"level":47,"checkedAt":76},"2026-09-26","government-digital-service-gov-uk-chat",[79],{"slug":57,"title":80},"AI assistant for citizen information and government services",{"title":82,"useCases":83,"organization":87,"vendors":88,"summary":91,"stage":66,"year":92,"channels":93,"languages":96,"metrics":97,"outcomeDisclosed":13,"sources":106,"verification":111,"grade":49,"id":113,"useCaseTitles":114},"UK Government: cross government Microsoft 365 Copilot experiment with 20,000 government employees",[84,85,86],"meeting-summarization-and-action-items","civil-servant-drafting-copilot","workplace-ai-assistant-rollout",{"name":6,"anonymized":14,"country":7,"region":8,"industry":9,"wikidata":10},[89],{"name":90,"role":24},"Microsoft","The Government Digital Service ran a trial of Microsoft 365 Copilot with 20,000 employees across UK government from 30 September to 31 December 2024. Copilot in Teams was the most used application throughout, with adoption peaking at 71%, and one participant named summarizing meeting notes among the tasks where it helped. Participants estimated an average saving of 26 minutes a day across all tasks; that figure is self reported, covers every Copilot use and is not recorded as a meeting metric. The report also notes weaker results on complex, nuanced or context heavy work, and concerns that Copilot relied on external sources without built in verification.",2024,[94,95],"microsoft-teams","internal-tools",[31],[98],{"kpi":99,"value":100,"unit":101,"qualifier":102,"period":103,"claimant":39,"quote":104,"sourceUrl":105},"employee-adoption",71,"percent","up-to","peak share of trial users using Copilot in Teams, October to December 2024","Teams was the most popular tool for M365 Copilot and remained dominant throughout the experiment with a maximum adoption of 71%.","https:\u002F\u002Fwww.gov.uk\u002Fgovernment\u002Fpublications\u002Fmicrosoft-365-copilot-experiment-cross-government-findings-report\u002Fmicrosoft-365-copilot-experiment-cross-government-findings-report-html",[107],{"url":105,"title":108,"publisher":109,"date":110},"Microsoft 365 Copilot Experiment: Cross-Government Findings Report","Government Digital Service (GOV.UK)","2025-06-02",{"level":47,"checkedAt":112},"2026-09-27","uk-government-m365-copilot-experiment",[115,117,119],{"slug":84,"title":116},"AI meeting summarization and action items",{"slug":85,"title":118},"AI drafting copilot for civil servants for correspondence, briefings and ministerial replies",{"slug":86,"title":120},"Workplace AI assistant rollout across an organization",1794572867963]