Microsoft Commercial and Professional Services United States

PwC

Data Lake / Data Warehouse Modernization · Security and Compliance

The biggest challenge that PwC’s customers are facing right now is having access to complete, accurate, reliable sustainability data. PwC solutions are built on secure Microsoft technology to help its clients deliver sustainable growth, agility, and lasting innovation.

In April of 2023, PwC announced plans to invest $1 billion over the next three years to expand and scale its AI offerings and help clients reimagine their businesses through the power of generative AI.
This retail company’s overarching goal to is reduce its scope 3 emissions, all of which is enabled through the Microsoft technology stack.

Reported impact

Business outcome

PwC has already started implementing capabilities within Azure OpenAI Service for clients in various industries including insurance, aviation, and healthcare, among others. These solutions have successfully enabled clients to save time and costs while helping get visibility into sustainability.

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

Solution

PwC built this solution on Azure OpenAI Service, Power Platform, Dynamics 365, Microsoft Sustainability Manager. The biggest challenge that PwC’s customers are facing right now is having access to complete, accurate, reliable sustainability data. Azure OpenAI Service provides the generative AI model layer used for summarization, drafting, classification, or copilots in the workflow. Power Platform provides the governed low-code foundation for apps, automations, and copilots. Dynamics 365 provides the core business application experience for service, sales, or operations workflows. Microsoft Sustainability Manager collects, models, and reports sustainability data for compliance and planning.

Data flow

Business requests and operational data enter Power Apps and Power Automate workflows, which route approvals, invoke automation or AI where needed, and return results through governed low-code applications.

Solution architecture

4 components · 4 layers
  1. Compute
    • Azure OpenAI Service Provides the generative AI model layer used for summarization, drafting, classification, or copilots in the workflow.
  2. Serving
    • Dynamics 365 Provides the core business application experience for service, sales, or operations workflows.
  3. Orchestration
    • Power Platform Provides the governed low-code foundation for apps, automations, and copilots.
  4. Governance
    • Microsoft Sustainability Manager Collects, models, and reports sustainability data for compliance and planning.

Architecture clues

  • SAP workflows are integrated into the automation path.

Evidence from the source

In April of 2023, PwC announced plans to invest $1 billion over the next three years to expand and scale its AI offerings and help clients reimagine their businesses through the power of generative AI.
PwC has already started implementing capabilities within Azure OpenAI Service for clients in various industries including insurance, aviation, and healthcare, among others.
The biggest challenge that PwC’s customers are facing right now is having access to complete, accurate, reliable sustainability data.
The solution that PwC provides its clients for accurate sustainability data insights utilizes a combination of Microsoft technology products to achieve the most accurate results— Microsoft Sustainability Manager Microsof
This retail company’s overarching goal to is reduce its scope 3 emissions, all of which is enabled through the Microsoft technology stack.
Transparency Evidence & methodology 90/100 reference value · 89% 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 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 confidence89%
  • 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
    5 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 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

    PwC customer story

    First-party
    https://www.microsoft.com/en/customers/story/1755085937562470921-pwc-azure-professional-services-en-united-states
    Source type
    Vendor-published customer story
    Published
    Apr 8, 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 Apr 8, 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.