Microsoft Education United States

Babson College

Enterprise Knowledge Search

The existing technology was outdated, lacking cloud services and other essential infrastructure. Babson required help to manage the expedition and provisioning required for student grants and other projects.

"A great indicator of how much students can do when we hand them the keys is to sit people down and say, alright, you're going to give 6 hours of your time and get your hands dirty,” says Karns.
1 for undergraduate entrepreneurship for 27 years in a row and No.
Patricia Patria, Chief Information Officer, Babson College Discover more details CUSTOMER Babson College PRODUCTS Power BI Microsoft 365 A5 Azure OpenAI Service Microsoft Copilot SERVICES AND SUPPORT ORGANIZATION SIZE 50-999 employees COUNTRY United States BUSINESS NEED Artificial Intelligence INDUSTRY Higher Education Explore related stories Stories in this industry Stories about this customer Showing 32 of 98 categories Showing 1-2 of 2 slides Previous slide Next slide We are Microsoft Empowering others Our mission is to empower every person and every organization on the planet to achieve more.

Reported impact

Business outcome

A mathbot was developed to improve learning outcomes in STEM courses and stats. “My first year we focused on improving our core infrastructure to help us get on the right tools,” Patria recalls, “Then we moved all faculty, staff, students, and alumni over to the Microsoft 365 platform.

  • Customer Experience

Solution

Babson College used Azure OpenAI Service, Azure AI Studio, Microsoft Dynamics 365 to surface grounded answers from enterprise knowledge faster. The existing technology was outdated, lacking cloud services and other essential infrastructure. Babson required help to manage the expedition and provisioning required for student grants and other projects. 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 Dynamics 365 provides the common business process layer that standardizes operations; Power BI delivers reports and dashboards to business users. 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. The solution also connects with ERP, helping the new platform fit into...

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. Serving
    • Power BI Delivers reports and dashboards to business users.
  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.

Evidence from the source

"A great indicator of how much students can do when we hand them the keys is to sit people down and say, alright, you're going to give 6 hours of your time and get your hands dirty,” says Karns.
1 for undergraduate entrepreneurship for 27 years in a row and No.
A mathbot was developed to improve learning outcomes in STEM courses and stats. “My first year we focused on improving our core infrastructure to help us get on the right tools,” Patria recalls, “Then we moved all faculty, staff, students, and alumni over to the Microsoft 365 platform.
The existing technology was outdated, lacking cloud services and other essential infrastructure. Babson required help to manage the expedition and provisioning required for student grants and other projects.
This has simplified our processes and workflows and made us more efficient as an organization.” Modernizing Babson’s systems in August 2023 provided the foundation for AI innovation, with Microsoft Copilot and Azure OpenAI Service rolled out to all faculty, staff, and students in early 2024.
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

    Babson College customer story

    First-party
    https://www.microsoft.com/en/customers/story/19924-babson-college-azure-open-ai-service
    Source type
    Vendor-published customer story
    Published
    Dec 3, 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. Babson College

    2024 Form 990 Public Disclosure

    First-party
    https://www.babson.edu/media/babson/assets/business-and-financial-services/2024-Form-990-Public-Disclosure.pdf

    Form 990 (2024) Part V line 2a lists 2,642 employees reported on Form W-3 for the calendar year ending within the return period; the standard mapping classifies 1,000+ employees as Enterprise.

    Source type
    Official institution website
    Supports
    • Company size

Date evidence

  • Published on source page Dec 3, 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.