[{"data":1,"prerenderedAt":130},["ShallowReactive",2],{"uc-org-salesforce":3},{"organization":4,"includeUnpublished":13,"evidence":14},{"slug":5,"name":6,"country":7,"region":8,"industry":9,"wikidata":10,"records":11,"useCases":11,"indexable":12},"salesforce","Salesforce","US","north-america","technology","Q941127",3,true,false,[15,64,90],{"title":16,"useCases":17,"organization":19,"vendors":20,"summary":26,"stage":27,"year":28,"channels":29,"languages":31,"metrics":33,"outcomeDisclosed":12,"sources":51,"verification":56,"grade":59,"id":60,"useCaseTitles":61},"Salesforce: BugWiser customer bug classification",[18],"product-feedback-and-bug-report-triage",{"name":6,"anonymized":13,"country":7,"region":8,"industry":9,"wikidata":10},[21,24],{"name":22,"role":23},"Anthropic","model-provider",{"name":6,"role":25},"in-house","Salesforce's Sales Cloud engineering team built BugWiser, which pairs a custom machine learning model trained on years of historical bug classifications with a large language model (Anthropic's Opus). The model classifies each customer reported bug with a confidence score and the evidence behind it, and the LLM writes the engineering context and summaries. High confidence predictions can be accepted automatically, lower confidence ones go to manual review, and engineer corrections retrain the model. Salesforce reports the first Sales Cloud and Service Cloud deployments.","production",2026,[30],"internal-tools",[32],"en",[34,43],{"kpi":35,"value":36,"unit":37,"qualifier":38,"baseline":39,"claimant":40,"quote":41,"sourceUrl":42},"cycle-time-days",7,"days","up-to","More than 300 person days of manual effort to triage customer bugs","organization","By combining a custom machine learning model with a large language model (LLM), BugWiser reduced customer bug triage time from more than 300 person-days of manual effort to less than a week while generating trusted release insights at scale.","https:\u002F\u002Fengineering.salesforce.com\u002Fhow-ai-reduced-customer-bug-triage-from-nearly-a-year-to-less-than-a-week\u002F",{"kpi":44,"value":45,"unit":46,"qualifier":47,"period":48,"baseline":49,"claimant":40,"quote":50,"sourceUrl":42},"accuracy",90,"percent","approximately","initial Sales Cloud and Service Cloud deployments","Share of predictions accepted without modification by engineers, not a measured accuracy against a labelled set","Across the initial Sales Cloud and Service Cloud deployments, approximately 90% of predictions were accepted without modification, while only a small percentage required human correction.",[52],{"url":42,"title":53,"publisher":54,"date":55},"How AI Reduced Customer Bug Triage from Nearly a Year to Less Than a Week","Salesforce Engineering","2026-07-21",{"level":57,"checkedAt":58},"source-verified","2026-10-13","B","salesforce-bugwiser-customer-bug-classification",[62],{"slug":18,"title":63},"AI for product feedback and bug report triage",{"title":65,"useCases":66,"organization":68,"vendors":69,"summary":73,"stage":74,"year":28,"channels":75,"languages":76,"metrics":77,"outcomeDisclosed":12,"sources":78,"verification":83,"grade":85,"id":86,"useCaseTitles":87},"Salesforce: pay equity governance at scale with Syndio",[67],"compensation-and-pay-equity-analysis",{"name":6,"anonymized":13,"country":7,"region":8,"industry":9,"wikidata":10},[70],{"name":71,"role":72},"Syndio","platform","Salesforce, with about 80,000 employees, governs about 102,000 pay decisions a year, and Syndio's platform manages the complexity of that analysis across more than 100 countries. Benioff first took a public stand on pay equity in 2015. Salesforce initially ran pay equity analysis in house with a model built by its own data science team, and later replaced it with Syndio's platform as the company scaled.","scaled",[30],[32],[],[79],{"url":80,"title":81,"publisher":71,"archivedUrl":82},"https:\u002F\u002Fsynd.io\u002Fcase-study\u002Fsalesforce\u002F","Salesforce + Syndio | Pay Equity at Scale as Workforce Tripled","https:\u002F\u002Fweb.archive.org\u002Fweb\u002F20260609032347\u002Fhttps:\u002F\u002Fsynd.io\u002Fcase-study\u002Fsalesforce\u002F",{"level":57,"checkedAt":84},"2026-09-29","C","salesforce-pay-equity-governance",[88],{"slug":67,"title":89},"AI for compensation governance and pay equity analysis",{"title":91,"useCases":92,"organization":94,"vendors":96,"summary":98,"stage":27,"year":99,"channels":100,"languages":101,"metrics":102,"outcomeDisclosed":12,"sources":117,"verification":124,"grade":59,"id":126,"useCaseTitles":127},"Salesforce: Techforce Agent in Slack resolves a third of internal IT requests",[93],"it-service-desk-resolution-agent",{"name":6,"anonymized":13,"country":7,"region":95,"industry":9,"wikidata":10},"global",[97],{"name":6,"role":25},"Salesforce's internal IT team, Techforce, handles more than 25,000 requests a month. It built the Techforce Agent on Agentforce and Service Cloud and put it in Slack, where employees describe an issue and get an answer, often a link to the self service password reset portal, or an escalation to a human with the conversation attached. The CIO reports 28,000 employees using it. In this version the agent surfaces knowledge and guides to self service; direct action on the employee's behalf is named as the next version. Salesforce's customer story adds that the agent had autonomously resolved more than 9,500 support requests in Slack, saving nearly $57,000 in support costs.",2025,[30],[32],[103,109],{"kpi":104,"value":105,"unit":46,"qualifier":106,"claimant":40,"quote":107,"sourceUrl":108},"containment-rate",35,"exact","The agent currently resolves 35% of issues without human intervention, saving 16,800 hours annually.","https:\u002F\u002Fslack.com\u002Fblog\u002Fproductivity\u002Ftechforce-agent-ai-it-support-slack",{"kpi":110,"value":111,"unit":112,"qualifier":113,"period":114,"claimant":40,"quote":115,"sourceUrl":116},"interactions-handled",9500,"count","at-least","requests resolved autonomously so far, undated 2025 story","So far, Agentforce has autonomously resolved more than 9,500 support requests in Slack, saving Salesforce nearly $57,000 in support costs.","https:\u002F\u002Fwww.salesforce.com\u002Fcustomer-stories\u002Fagentforce-for-HR-IT\u002F",[118,122],{"url":108,"title":119,"publisher":120,"date":121},"How Agentforce in Slack Helps Salesforce Scale IT Support with Instant Answers","Slack (Salesforce)","2025-07-02",{"url":116,"title":123,"publisher":6},"Agentforce resolves IT and HR questions 24\u002F7 for Salesforce employees",{"level":57,"checkedAt":125},"2026-11-11","salesforce-techforce-it-support-agent",[128],{"slug":93,"title":129},"AI agent for IT service desk resolution",1794496906682]