Intelligent virtual assistants, the conversational agents embedded in workplace tools that answer questions, retrieve information, schedule, summarise and route requests, are deployed to improve employee experience by removing friction and to support collaboration by connecting people and information. Their effects are uneven: assistants that are unreliable or poorly integrated add friction rather than removing it. This paper models employee experience as a function of friction and collaboration, with assistant use reducing friction in proportion to assistant reliability and raising collaboration in proportion to integration with the organisation’s systems, and examines the model in a simulation of 700 employees. Assistant use raises employee experience from 0.25 among light users to 0.45 among heavy users of reliable assistants, but only to 0.36 among heavy users of unreliable ones; the use–reliability interaction (0.16) exceeds the main effect of use (0.10), and the use–integration interaction (0.09) governs the collaboration channel, where heavy use raises collaboration from 0.40 with poor integration to 0.57 with good. The paper argues that the value of virtual assistants is conditional on reliability and integration, that deploying assistants ahead of these conditions produces the disappointment that many organisations report, and that assistants should be evaluated on friction removed and collaboration enabled rather than on usage. Design and deployment implications are derived.
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Malikov Bekzod (2026) studied this question.
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