A no-code digital assistant technology utilizing NLU to automate internal business processes, IT helpdesks, and human resources workflows.
What it does
Builds smart, human-like digital assistants without coding via an intuitive visual workflow designer.
Deploys custom micro-apps to automate multi-step internal tasks such as guest Wi-Fi creation or password resets.
Qualifies IT incident tickets and routes them dynamically based on topic classification and urgency metrics.
Integrates existing company FAQs and knowledge bases into an enterprise chat interface for employee self-resolution.
Tracks conversation analytics and custom Key Performance Indicators (KPIs) to analyze and optimize assistant accuracy.
Triggers tailored outbound contextual microlearning experiences and updates through native company messaging environments.
Why it works
Meets modern distributed employees natively within their existing workspaces to eliminate email fatigue.
Deflects repetitive internal helpdesk inquiries using advanced automated conversational classification loops.
Empowers non-technical department operators to spin up automated response flows using pre-built library blocks.
Delivers predictive pattern mapping powered by Natural Language Understanding (NLU) rather than rigid keyword trees.
Allows complex integrations into back-office tools to support instant self-service resolutions without human triage.
A no-code digital assistant technology utilizing NLU to automate internal business processes, IT helpdesks, and human resources workflows.
Overview
Vizir is a conversational AI and digital assistant platform designed to transform corporate communications and enterprise support workflows. By utilizing Natural Language Understanding (NLU), the software enables internal departments like IT and HR to build intelligent chatbots without writing code. The platform integrates seamlessly with popular enterprise messaging networks to meet employees where they work, replacing cumbersome email threads with interactive self-service channels. Its advanced routing engine qualifies requests automatically, deflecting routine issues and significantly lowering ticket backlogs for support teams.
Founded year:2015
Founder:Benoit Guivarc, Thomas Maitre
Team size:2-10
Popularity:Established player within the European internal corporate automation and digital workspace assistant sector.
HQ:Paris, Île-de-France, France
Status:Acquired
Funding status:Acquired
Customer type:B2B
Funding:Acquired by LumApps; historically supported by the Microsoft Accelerator program.
Empowers non-technical department operators to spin up automated response flows using pre-built library blocks.
Delivers predictive pattern mapping powered by Natural Language Understanding (NLU) rather than rigid keyword trees.
Allows complex integrations into back-office tools to support instant self-service resolutions without human triage.
Founder story
Vizir was founded in 2015 by Benoit Guivarc and Thomas Maitre in Paris, France. Recognizing that traditional enterprise FAQs and internal portals were underutilized and that employees were consistently overwhelmed by email communication, the founders set out to build an accessible, no-code digital assistant layer. They positioned the technology to bridge the gap between complex backend service architectures and employee chat applications. In December 2022, Vizir was acquired by the global employee experience platform LumApps to scale conversational AI capacities globally.
Alternatives
Comparison overview
Vizir sets itself apart from standard commercial marketing chatbots by focusing explicitly on internal operations, employee assistance, and helpdesk automation.
Unlike platforms built purely on scripted rule logic, Vizir integrates flexible NLU structures that simulate personalized, context-aware dialogue layers.
While enterprise alternatives like Moveworks require extensive data science implementation, Vizir's no-code builder lets operational leaders launch configurations easily.
Following its integration into the LumApps infrastructure, it acts as a core automated lifecycle tier, contrasting with stand-alone alternatives that operate outside primary employee experience systems.