Microsoft Software / SaaS Canada

Visier

Enterprise Knowledge Search

Visier wants to help businesses maximize the impact of their people. The company set out to create a conversational AI experience that delivers workforce analytics and actionable insights in a highly secure, reliable, enterprise context. Meet Vee, Visier’s generative AI assistant. Vee runs on Microsoft Azure AI infrastructure, including Azure OpenAI Services, and is built on unified, safeguarded knowledge from more than 50,000 customers. Visier has gained up to five times better performance with Azure OpenAI over OpenAI alone. Vee now helps drive real, transformational change for companies and their employees.

Using inputs from more than 50,000 customers, Visier trained Vee as a generative AI experience that unlocks all of those actionable insights and makes accessing people-related business, employee, and industry information remarkably simple, especially for companies that wouldn’t have enough data to train a model of their own.
Vee runs on Microsoft Azure AI infrastructure, including Azure OpenAI Services, and is built on unified, safeguarded knowledge from more than 50,000 customers.
“Having collected answers for more than 14 years, we’ve got a really good idea of the breadth of questions we might get and how best to answer them without having to load up customers’ private data into the language model.
“That frontline manager in a hospital can use Vee to reach every level of their business and bring real frontline impact to both how their employees experience work and ultimately how their patients experience the organization.” Accessing best-of-breed language models, high performance on Azure OpenAI In any given hour, Vee can process questions from up to 150,000 customers.

Reported impact

Business outcome

“We found GPT-4.0 Turbo on Azure OpenAI Service to be a fantastic resource that has really improved both the quality and the performance of our generative AI experience.” Adam Binnie, Chief Innovation Officer, Visier, Inc. “For many customers, if they don’t get immediate responses, they will never come back.” Visier prioritized robustly delivered enterprise-scale technology capabilities for Vee’s core language model.

  • Customer Experience
  • Risk Reduction
  • Scalability

Solution

Visier used Azure OpenAI Service, Azure AI Studio, Microsoft Fabric to surface grounded answers from enterprise knowledge faster. Visier wants to help businesses maximize the impact of their people. The company set out to create a conversational AI experience that delivers workforce analytics and actionable insights in a highly secure, reliable, enterprise context. Meet Vee, Visier’s generative AI assistant. Vee runs on Microsoft Azure AI infrastructure, including Azure OpenAI Services, and is built on unified, safeguarded knowledge from more than 50,000 customers. Visier has gained up to five times better performance with Azure OpenAI over OpenAI alone. Vee now helps drive real, transformational change for companies and their employees. Key implementation elements included Azure OpenAI Service generates natural-language responses and task automation for the solution; Azure AI Studio provides the workspace for building, testing, and deploying the AI application; Microsoft Fabric...

Data flow

Enterprise content from documents, meetings, websites, or internal systems is passed through retrieval and model services so users receive grounded answers inside the target workflow.

Solution architecture

6 components · 4 layers
  1. Compute
    • Azure OpenAI Service Generates natural-language responses and task automation for the solution.
    • Azure AI Studio Provides the workspace for building, testing, and deploying the AI application.
    • Microsoft Azure Hosts the application, data, and integrations on scalable cloud infrastructure.
  2. Storage
    • Microsoft Fabric Unifies data engineering, storage, and analytics on a single managed platform.
  3. Orchestration
    • Microsoft Dynamics 365 Provides the common business process layer that standardizes operations.
  4. Uncategorized
    • Microsoft 365 Provides the documents, messages, and meetings that feed user workflows.

Architecture clues

  • Emphasizes secure enterprise access to data and AI capabilities.
  • Uses Microsoft Fabric as a shared data foundation for analytics and AI consumption.

Evidence from the source

Using inputs from more than 50,000 customers, Visier trained Vee as a generative AI experience that unlocks all of those actionable insights and makes accessing people-related business, employee, and industry information remarkably simple, especially for companies that wouldn’t have enough data to train a model of their own.
Vee runs on Microsoft Azure AI infrastructure, including Azure OpenAI Services, and is built on unified, safeguarded knowledge from more than 50,000 customers.
Visier wants to help businesses maximize the impact of their people. The company set out to create a conversational AI experience that delivers workforce analytics and actionable insights in a highly secure, reliable, enterprise context. Meet Vee, Visier’s generative AI assistant. Vee runs on Microsoft Azure AI infrastructure, including Azure OpenAI Services, and is built on unified, safeguarded knowledge from more than 50,000 customers. Visier has gained up to five times better performance with Azure OpenAI over OpenAI alone. Vee now helps drive real, transformational change for companies and their employees.
“We found GPT-4.0 Turbo on Azure OpenAI Service to be a fantastic resource that has really improved both the quality and the performance of our generative AI experience.” Adam Binnie, Chief Innovation Officer, Visier, Inc.
“We found GPT-4.0 Turbo on Azure OpenAI Service to be a fantastic resource that has really improved both the quality and the performance of our generative AI experience.” Adam Binnie, Chief Innovation Officer, Visier, Inc. “For many customers, if they don’t get immediate responses, they will never come back.” Visier prioritized robustly delivered enterprise-scale technology capabilities for Vee’s core language model.
Transparency Evidence & methodology 90/100 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 value90/100
  • Problem clarity20/20
    Measures whether the customer's operational problem is specific enough to compare.
  • Implementation depth25/25
    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 impact15/25
    1 metric 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

    Visier customer story

    First-party
    https://www.microsoft.com/en/customers/story/1770536569687978092-visier-solutions-azure-openai-service-professional-services-en-canada
    Source type
    Vendor-published customer story
    Published
    Jun 25, 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. Visier

    About Visier | Visier

    First-party
    https://www.visier.com/company/

    At 600 employees and 7 office locations, Visier continues to expand globally.

    Source type
    Official company website
    Supports
    • Company size

Date evidence

  • Published on source page Jun 25, 2024 · Microsoft · First-party
    Open date source
Not separately sourced Industry, Region. Treat these normalized attributes as lower-confidence until a dedicated source is added.