Microsoft Commercial and Professional Services Global

EY

IT Operations Automation

Neurodivergent NCoE employees with technical backgrounds offered to work on the project. John Franzen, Supervising Associate, Account Support at Ernst & Young LLP, was among them.

The World Economic Forum and others estimate that some 20% of the global workforce is neurodivergent, and Shukla says that up to half of young adults and teens identify as neurodivergent.
With an estimated 20% of the global workforce identifying as neurodivergent, inclusive AI solutions are crucial.

Reported impact

Business outcome

The project increased the accessibility of Azure AI Foundry, which will support broader, more diverse talent recruitment and more inclusive AI development teams. “The proportion of neurodivergent individuals has been shown to be much greater in the data and technology realms across all industries and sectors,” says Shukla.

  • Customer Experience
  • Productivity Improvement

Solution

With an estimated 20% of the global workforce identifying as neurodivergent, inclusive AI solutions are crucial. Employees from EY Neuro-Diverse Centers of Excellence worked with Microsoft to ensure AI tools foster productivity for all. This belief motivated Ernst & Young LLP to collaborate with Microsoft to increase the inclusivity of Microsoft Azure AI Foundry . As a co-founding member of the Neurodiversity @ Work Employer Roundtable , Microsoft shares EY’s commitment to accessible tools. Guided by Microsoft Inclusive Design principles and resources, the joint project kicked off in early 2024. Neurodivergent employees eager to improve all users’ experiences Neurodivergent NCoE employees with technical backgrounds offered to work on the project. John Franzen, Supervising Associate, Account Support at Ernst & Young LLP, was among them. He says, “I want to help advance neuro-inclusion, so I thought this was a good opportunity to contribute.”

Solution architecture

2 components · 1 layer
  1. Compute
    • Azure AI Studio Provides the workspace for building, testing, and governing AI solutions and copilots.
    • Azure AI Services Supplies pretrained AI capabilities such as language, speech, or vision inside the business workflow.

Architecture clues

  • “The proportion of neurodivergent individuals has been shown to be much greater in the data and technology realms across all industries and sectors,” says Shukla.

Evidence from the source

Employees from EY Neuro-Diverse Centers of Excellence worked with Microsoft to ensure AI tools foster productivity for all.
Neurodivergent employees eager to improve all users’ experiences
The World Economic Forum and others estimate that some 20% of the global workforce is neurodivergent, and Shukla says that up to half of young adults and teens identify as neurodivergent.
This belief motivated Ernst & Young LLP to collaborate with Microsoft to increase the inclusivity of Microsoft Azure AI Foundry .
To identify exactly what needed to change and how, additional EY participants and Microsoft developers came together in a co-design sprint to brainstorm, critique, and refine specific improvements as a group.
With an estimated 20% of the global workforce identifying as neurodivergent, inclusive AI solutions are crucial.
Transparency Evidence & methodology 85/100 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 value85/100
  • Problem clarity20/20
    Measures whether the customer's operational problem is specific enough to compare.
  • Implementation depth15/25
    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
    2 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
    6 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

    EY customer story

    First-party
    https://www.microsoft.com/en/customers/story/19581-ey-azure-ai-studio
    Source type
    Vendor-published customer story
    Published
    Nov 19, 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 Nov 19, 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.