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Microsoft Commercial and Professional Services United States

Insight Enterprises

IT Operations Automation

Offering a unique combination of hardware, software, and services solutions at scale to its clients worldwide, Insight wanted to translate its own experiences to accelerate its clients' AI journeys.

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Reported impact

Business outcome

With education and collaboration at the heart of the company's internal journey, 93% of Insight's Copilot users are realizing productivity gains in functions including sales, finance, and human resources.

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

Solution

Insight Enterprises built its Microsoft solution to improve employee-productivity and operational workflows. Offering a unique combination of hardware, software, and services solutions at scale to its clients worldwide, Insight wanted to translate its own experiences to accelerate its clients' AI journeys. Azure openai service ran model inference or heavy processing. User prompts and domain content are orchestrated through Azure OpenAI Service, processed by Azure OpenAI Service, and then delivered through Azure OpenAI Service so Insight Enterprises can return context-aware answers or automation in the flow of work. The stack stayed governed and extensible on Microsoft. With education and collaboration at the heart of the company's internal journey, 93% of Insight's Copilot users are realizing productivity gains in functions including sales, finance, and human resources.

Data flow

User prompts and domain content are orchestrated through Azure OpenAI Service, processed by Azure OpenAI Service, and then delivered through Azure OpenAI Service so Insight Enterprises can return context-aware answers or automation in the flow of work.

Solution architecture

1 components · 1 layer
  1. Compute
    • Azure OpenAI Service Runs large language models that generate grounded responses, summaries, and copilots.

Architecture clues

  • "We were able to get one in and out in only two days, and we wouldn't have been able to do that without Copilot." The company capitalized on its early access to Copilot for Microsoft 365 to prepare clients for their own generative AI journeys, offering free demonstrations to its clients while Copilot was still in the early stages and developing a robust readiness assessment resource.
  • The company also evaluated and developed expertise on security and governance issues that might arise for clients.

Evidence from the source

"Insight was one of the first organizations to access Azure OpenAI Service, and we built our internally protected GPT model and rolled it out to our teammates in under five weeks.
Employees were early users of ChatGPT, and the company collaborated with Microsoft to create an internal AI service called Insight GPT using Microsoft Azure solution Azure OpenAI Service .
Offering a unique combination of hardware, software, and services solutions at scale to its clients worldwide, Insight wanted to translate its own experiences to accelerate its clients' AI journeys.
With education and collaboration at the heart of the company's internal journey, 93% of Insight's Copilot users are realizing productivity gains in functions including sales, finance, and human resources.
Transparency Evidence & methodology 65/100 reference value · 87% confidence · 1 source

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 value65/100
  • 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 impact0/25
    0 metrics describe measurable impact.
  • Deployment scale5/10
    Rewards evidence of a live or scaled deployment and meaningful integration scope.
Evidence confidence87%
  • Source authority20/25
    The main evidence is an official vendor-published customer story.
  • Claim traceability21/25
    10 of 12 key fields link to a named source.
  • Direct evidence20/20
    4 direct source quotes retained.
  • Date provenance10/10
    The publication date comes from the source page or publisher.
  • Source transparency8/10
    1 source reference document publisher, URL, authority, retrieval, and supported fields.
  • Implementation specificity8/10
    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

    Insight Enterprises customer story

    First-party
    https://www.microsoft.com/en/customers/story/1797709165933196148-insight-canada-microsoft-copilot-for-microsoft-365-other-en-united-states
    Source type
    Vendor-published customer story
    Published
    Aug 2, 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

Date evidence

  • Published on source page Aug 2, 2024 · Microsoft · First-party
    Open date source
Not separately sourced Industry, Region, Company size. Treat these normalized attributes as lower-confidence until a dedicated source is added.

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