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Accenture Commercial and Professional Services global

Accenture

IT Operations Automation

Accenture needed a people and HR platform that could support rapid operating-model change, skills visibility, hiring speed, and personalized employee experiences for a workforce of more than 780,000 people.

Read the original story Explore all use cases
boost hiring speed by 30%
cutting HR costs as a percentage of revenue by 9% (three-year CAGR)
deploy on average 475 new features a year
more than 780,000 people

Reported impact

Business outcome

Accenture improved hiring speed, accelerated operating-model change, and created a more responsive workforce-planning and employee-experience stack that lets leaders act on current skills and demand data instead of waiting for siloed reports.

  • Productivity Improvement
  • Scalability
  • Speed to Market

Solution

Accenture and Workday built a connected people-data platform that underpins internal HR, skills, recruiting, and workforce planning with real-time data and AI. Workday became the central system where Accenture chose to keep all people data, replacing siloed talent acquisition and learning environments with a more standardized global model. The platform is integrated across HR, finance, sales, skills, staffing, payroll, and revenue so leaders can see adjacent skills, industry specializations, locations, and business demand in one place. On top of that data foundation, Accenture uses predictive modeling to forecast talent needs and has launched gen-AI-enabled performance management tools plus other skills-focused experiences. Salesforce and Workday are also linked so sales-pipeline signals can inform talent decisions in real time. The result is not just an HR system of record, but an operational workforce intelligence platform that helps Accenture reorganize faster, hire faster, and align people decisions with business growth.

Data flow

People, skills, staffing, payroll, finance, sales, and revenue data is centralized in Workday and linked across functions. Predictive models and gen-AI tools consume that shared data to forecast needs, personalize employee workflows, and feed business-aware talent decisions back into HR operations.

Solution architecture

4 components · 4 layers
  1. Compute
    • predictive modeling Forecasts talent trends and workforce needs using integrated people and business data.
  2. Storage
    • Workday Acts as the centralized system of record and operating platform for Accenture's global people data.
  3. Serving
    • gen AI-enabled performance management tools Support faster, more personalized employee performance and skills workflows.
  4. Orchestration
    • Salesforce and Workday integration Connects pipeline and commercial signals to workforce planning and staffing decisions.

Architecture clues

  • All people data is centralized in Workday.
  • Salesforce and Workday are integrated for real-time pipeline visibility.
  • The platform spans skills, staffing, payroll, finance, and sales signals.

Evidence from the source

"Workday is a critical backbone enabling us to target, train and track the skills"
"all people data would be centralized in Workday"
"launch gen AI-enabled performance management tools in a few months"
"we can use predictive modeling to forecast trends and talent needs for today and tomorrow"
Transparency Evidence & methodology 100/100 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 value100/100
  • 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 impact25/25
    2 metrics 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 traceability19/25
    9 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 transparency10/10
    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. Accenture

    Accenture's HR Transformation with Workday: Embracing Gen AI

    First-party
    https://www.accenture.com/en/case-studies/technology/continuous-reinvention-powered-with-workday
    Source type
    Vendor-published customer story
    Published
    Mar 27, 2026
    Supports
    • 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 Mar 27, 2026 · Accenture · First-party
    Open date source
Not separately sourced Customer, Industry, Region, Company size. Treat these normalized attributes as lower-confidence until a dedicated source is added.

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