[{"data":1,"prerenderedAt":141},["ShallowReactive",2],{"uc-org-ibm":3},{"organization":4,"includeUnpublished":12,"evidence":13},{"slug":5,"name":6,"country":7,"region":8,"industry":9,"records":10,"useCases":10,"indexable":11},"ibm","IBM","US","global","technology",3,true,false,[14,54,96],{"title":15,"useCases":16,"organization":18,"vendors":19,"summary":22,"stage":23,"year":24,"channels":25,"languages":27,"metrics":28,"outcomeDisclosed":11,"sources":43,"verification":46,"grade":49,"id":50,"useCaseTitles":51},"IBM: AskIT, the internal IT support assistant",[17],"it-service-desk-resolution-agent",{"name":6,"anonymized":12,"country":7,"region":8,"industry":9},[20],{"name":6,"role":21},"in-house","IBM's CIO organization receives around 785,000 IT support tickets a year covering device setup, password resets, VPN problems and replacements. It launched AskIT, built on watsonx Assistant after an analysis of over 300,000 support tickets and trained on the 80% of IT issues the company faces most often. It covers more than 200 support topics in more than 40 languages for over 280,000 employees. In its first four months more than 133,000 employees used it.","scaled",2023,[26],"internal-tools",[],[29,38],{"kpi":30,"value":31,"unit":32,"qualifier":33,"period":34,"claimant":35,"quote":36,"sourceUrl":37},"containment-rate",75,"percent","at-least","first four months after release","organization","Of the queries that were submitted, over 75% were resolved by the new assistant itself.","https://www.ibm.com/case-studies/cio-watsonx-askit",{"kpi":39,"value":40,"unit":41,"qualifier":33,"period":34,"claimant":35,"quote":42,"sourceUrl":37},"users-served",133000,"count","In the four months since AskIT’s release, over 133,000 IBM employees used the tool at least once.",[44],{"url":37,"title":45,"publisher":6},"Using AI to deliver a digital first employee experience",{"level":47,"checkedAt":48},"source-verified","2026-09-26","B","ibm-askit-service-desk-assistant",[52],{"slug":17,"title":53},"AI agent for IT service desk resolution",{"title":55,"useCases":56,"organization":58,"vendors":60,"summary":62,"stage":63,"year":64,"channels":65,"languages":66,"metrics":68,"outcomeDisclosed":11,"sources":82,"verification":90,"grade":49,"id":92,"useCaseTitles":93},"IBM: predictive attrition program saves retention costs",[57],"employee-attrition-prediction-and-retention-analytics",{"name":6,"anonymized":12,"country":7,"region":59,"industry":9},"north-america",[61],{"name":6,"role":21},"IBM built its own \"predictive attrition program\" using AI on internal HR data to flag employees at risk of resigning. Then CEO Ginni Rometty described the results publicly at a CNBC @Work conference in April 2019: the model was in the 95% accuracy range at identifying workers planning to leave, and the program had saved IBM nearly $300 million in retention costs.","production",2019,[26],[67],"en",[69,75],{"kpi":70,"value":71,"unit":32,"qualifier":72,"claimant":35,"quote":73,"sourceUrl":74},"accuracy",95,"approximately","IBM artificial intelligence technology is now 95 percent accurate in predicting workers who are planning to leave their jobs, said Rometty.","https://www.cnbc.com/2019/04/03/ibm-ai-can-predict-with-95-percent-accuracy-which-employees-will-quit.html",{"kpi":76,"value":77,"unit":78,"currency":79,"qualifier":72,"claimant":35,"quote":80,"sourceUrl":81},"cost-savings",300000000,"currency","USD","AI has so far saved IBM nearly $300 million in retention costs.","https://www.cnbc.com/2019/04/05/excerpts-from-work-talent-hr-conference.html",[83,87],{"url":74,"title":84,"publisher":85,"date":86},"IBM AI can predict with 95 percent accuracy which employees will quit","CNBC","2019-04-03",{"url":81,"title":88,"publisher":85,"date":89},"Excerpts from @Work Talent + HR Conference","2019-04-05",{"level":47,"checkedAt":91},"2026-09-29","ibm-watson-predictive-attrition",[94],{"slug":57,"title":95},"AI for employee attrition prediction and retention analytics",{"title":97,"useCases":98,"organization":100,"vendors":101,"summary":103,"stage":23,"year":104,"channels":105,"languages":106,"metrics":107,"outcomeDisclosed":11,"sources":132,"verification":136,"grade":49,"id":137,"useCaseTitles":138},"IBM: AskHR, the virtual HR assistant for employees and managers",[99],"hr-and-policy-assistant",{"name":6,"anonymized":12,"country":7,"region":8,"industry":9},[102],{"name":6,"role":21},"IBM's internal virtual agent AskHR automates more than 80 HR tasks, from payslip and sickness policy questions to job verification letters and vacation requests, and lets managers start transfers and organization changes in SAP SuccessFactors. AskHR has been refined since 2016; IBM added watsonx Orchestrate for generative and agentic automation in 2025. IBM reports high containment, fewer tickets and lower HR operating cost from the assistant over that longer period.",2016,[26],[67],[108,114,118,121,127],{"kpi":30,"value":109,"unit":32,"qualifier":110,"period":111,"claimant":35,"quote":112,"sourceUrl":113},94,"exact","common questions","AskHR also achieved a 94% containment rate of common questions, has led to a 75% reduction in support tickets raised since 2016, and created more than 11.5 million employee interactions in 2024 alone.","https://www.ibm.com/case-studies/ibm-askhr",{"kpi":115,"value":116,"unit":41,"qualifier":33,"period":117,"claimant":35,"quote":112,"sourceUrl":113},"interactions-handled",11500000,"calendar year 2024",{"kpi":119,"value":31,"unit":32,"qualifier":110,"period":120,"claimant":35,"quote":112,"sourceUrl":113},"contact-deflection","HR support tickets raised, since 2016",{"kpi":122,"value":123,"unit":32,"qualifier":110,"period":124,"baseline":125,"claimant":35,"quote":126,"sourceUrl":113},"cost-reduction",40,"over four years","HR team operational costs four years earlier","The AI agent helped contribute to a 40% reduction in the HR team’s operational costs over the past four years.",{"kpi":128,"value":129,"unit":32,"qualifier":110,"period":130,"claimant":35,"quote":131,"sourceUrl":113},"employee-adoption",99,"managers","The adoption of AskHR has reached 99% among managers.",[133],{"url":113,"title":134,"publisher":6,"date":135},"IBM AskHR","2025-08-21",{"level":47,"checkedAt":48},"ibm-askhr",[139],{"slug":99,"title":140},"AI assistant for HR and policy questions",1790683501549]