Use Case Intelligence RSS Search use cases Search
Microsoft Software / SaaS Poland

Virbe

Enterprise Knowledge Search · IT Operations Automation · Sales Automation

Virbe, a Polish startup that automates communication and sales activities, wanted to enable businesses to interact with customers through AI-powered avatars.

Read the original story Explore all use cases
As AI technology evolves, Virbe advances with it. "We're particularly excited about Azure's "personal voice" feature, which could allow voice cloning in 30 seconds.
The avatars are already attracting eyeballs. "A major retailer in Poland saw a 25% engagement rate using our product. Engaging a quarter of customers provides valuable insights to the retailer," adds Wróbel.
With Azure OpenAI, one customer reported a 10x increase in leads.
With an endlessly customizable product, Virbe's customers have achieved significant benefits, such as a 25% engagement rate and up to a 10x increase in leads.

Reported impact

Business outcome

With an endlessly customizable product, Virbe's customers have achieved significant benefits, such as a 25% engagement rate and up to a 10x increase in leads.

  • Cost Reduction
  • Customer Experience
  • Productivity Improvement
  • Revenue Growth

Solution

Virbe, a Polish startup that automates communication and sales activities, wanted to enable businesses to interact with customers through AI-powered avatars. Using Azure AI Services, Azure OpenAI Service, and Azure AI Search, Virbe enhanced its AI avatars and simplified engagement with enterprise customers. With guidance from Microsoft, it also introduced its product on the Azure Marketplace as a transactable app, increasing its reach. Microsoft Azure quickly became Virbe's go-to platform. "None of the other cloud providers offered the variety of services in one platform," recalls Wróbel. Virbe could deploy its product directly on customers' Azure accounts, giving them full control over their data and enabling them to meet local legal requirements for data privacy and security. Virbe introduced Azure OpenAI Service to power the conversational flow, allowing the avatar to engage naturally. It then used Azure AI Search to pull up relevant company-specific information.

Data flow

Source content is gathered from the organization's documents and knowledge repositories, Azure OpenAI Service interprets or generates responses from that content, and the resulting answers or assessments are surfaced to employees or citizens through the application workflow.

Solution architecture

3 components · 2 layers
  1. Compute
    • Azure OpenAI Service Runs the large-language-model features for classification, summarization, retrieval, or conversational responses in the solution.
    • Azure AI Services Supplies pretrained AI capabilities such as vision, language, or speech inside the business workflow.
  2. Serving
    • Azure AI Search Indexes enterprise content and retrieves relevant passages for AI-powered search and answer experiences.

Architecture clues

  • Azure AI Search: Indexes enterprise content and retrieves relevant passages for AI-powered search and answer experiences.
  • Azure AI Services: Supplies pretrained AI capabilities such as vision, language, or speech inside the business workflow.
  • Azure OpenAI Service: Runs the large-language-model features for classification, summarization, retrieval, or conversational responses in the solution.
  • Microsoft Azure quickly became Virbe's go-to platform. "None of the other cloud providers offered the variety of services in one platform," recalls Wróbel.
  • Using Azure AI Services, Azure OpenAI Service, and Azure AI Search, Virbe enhanced its AI avatars and simplified engagement with enterprise customers.
  • Virbe introduced Azure OpenAI Service to power the conversational flow, allowing the avatar to engage naturally.

Evidence from the source

Microsoft Azure quickly became Virbe's go-to platform. "None of the other cloud providers offered the variety of services in one platform," recalls Wróbel.
The avatars are already attracting eyeballs. "A major retailer in Poland saw a 25% engagement rate using our product. Engaging a quarter of customers provides valuable insights to the retailer," adds Wróbel.
Using Azure AI Services, Azure OpenAI Service, and Azure AI Search, Virbe enhanced its AI avatars and simplified engagement with enterprise customers.
Virbe, a Polish startup that automates communication and sales activities, wanted to enable businesses to interact with customers through AI-powered avatars.
With an endlessly customizable product, Virbe's customers have achieved significant benefits, such as a 25% engagement rate and up to a 10x increase in leads.
Transparency Evidence & methodology 95/100 reference value · 92% confidence · 2 sources

Review how this reference was scored and trace each normalized claim back to its documented source.

01

Scoring methodology

How scores are calculated

Customer Reference Value measures usefulness as a customer reference. Evidence Confidence measures the quality and traceability of available evidence, not independent verification.

Customer reference value95/100
  • Problem clarity20/20
    Measures whether the customer's operational problem is specific enough to compare.
  • Implementation depth20/25
    Rewards named components, data flow, integrations, and architecture detail.
  • Outcome specificity20/20
    Measures whether the reported benefit is concrete rather than a generic claim.
  • Quantified impact25/25
    4 metrics describe measurable impact.
  • Deployment scale10/10
    Rewards evidence of a live or scaled deployment and meaningful integration scope.
Evidence confidence92%
  • Source authority20/25
    The main evidence is an official vendor-published customer story.
  • Claim traceability23/25
    11 of 12 key fields link to a named source.
  • Direct evidence20/20
    5 direct source quotes retained.
  • Date provenance10/10
    The publication date comes from the source page or publisher.
  • Source transparency9/10
    2 source references document publisher, URL, authority, retrieval, and supported fields.
  • Implementation specificity10/10
    Rewards source-backed components, data flow, quantified impact, and a specific outcome.
02

Traceability

Sources & provenance

Field coverage shows which facts each source supports. Dates are shown only when documented by the source.

  1. Microsoft

    Virbe customer story

    First-party
    https://www.microsoft.com/en/customers/story/20457-virbe-azure-open-ai-service
    Source type
    Vendor-published customer story
    Published
    Sep 11, 2024
    Supports
    • Customer
    • Business problem
    • Solution
    • Products
    • Solution components
    • Data flow
    • Integrations
    • technical area
    • use case category
    • Business outcome
    • outcome category
    • Metrics
    • Architecture
    • evidence quotes
    • Publication date
  2. Virbe

    Terms of Service | Virbe

    First-party
    https://virbe.ai/legal/terms-of-service

    The Services are provided by Virbe sp. z o.o., ul. Tomasza Zana 11A, 20-601 Lublin, Poland.

    Source type
    Official company website
    Supports
    • Region

Date evidence

  • Published on source page Sep 11, 2024 · Microsoft · First-party
    Open date source
Not separately sourced Industry, Company size. Treat these normalized attributes as lower-confidence until a dedicated source is added.

Related

Similar use cases

See all like this
IBM Jan 15, 2026 IBM Software / SaaS Global IBM needed to reduce the time employees spent on repetitive work across HR, procurement, IT, supply chain, tax, and sales while creating a repeatable enterprise blueprint for scaling AI, automation, and hybrid-cloud… 15K AI agents proposed by employees during the 2025 IBM watsonx Challenge Enterprise Knowledge SearchIT Operations Automation IBM Apptio · IBM Turbonomic · IBM Watson Discovery OpenAI Sep 25, 2026 Proaction Software / SaaS North America Proaction needed a way to create highly personalized fleet-management demos and operational follow-ups without consuming scarce engineering time, while also extending automation into day-to-day fleet workflows for… 30 to 45 minutes to build each demo IT Operations AutomationSales Automation ChatGPT-5.6 Sol · Codex · GPT-6 Astra Anthropic Archived · Aug 30, 2026 Atlassian Software / SaaS Australia Atlassian wanted agents to do consequential work inside Jira, Confluence, and related products, but enterprise customers would only trust long-running automation if the models could follow complex instructions, use… 5 million+ agents executed in customer business workflows each month Enterprise Knowledge SearchIT Operations Automation Claude Code · Claude Platform · Rovo Chat