DXC Energy Brazil

Vale S.A.

IT Operations Automation

Vale's global mining workforce was losing time waiting for IT issues to be resolved under a traditional SLA-driven model, creating productivity, collaboration, and safety problems across remote operations.

40 hours to under 4 hours
More than 60,000 PCs and 30,000 mobile devices are supported across 216 sites worldwide
Over 2,000 tickets are now handled monthly
saved $188,000 annually

Reported impact

Business outcome

Vale cut support-resolution times dramatically, supports a much larger global device estate with stronger first-line resolution, saves money by recovering underused hardware, and gives employees a more stable and responsive workplace technology experience.

  • Cost Reduction
  • Productivity Improvement
  • Scalability

Solution

Vale and DXC rebuilt end-user support with Oxygen, a digital employee-experience program spanning field services, service-desk operations, equipment provisioning, and automation. Smart Digital Lockers let employees collect or replace devices without travel, Virtual Service Lounge provides remote support, and proactive monitoring uses real-time device data to detect issues before work is interrupted. Vale then added Digital Employee Experience (DEX), a predictive model that combines device telemetry, sentiment analysis, and automated asset tracking to surface friction, prevent incidents, and recover underused hardware. The implementation connects signals from 60,000 PCs and 30,000 mobile devices across 216 sites to workflows that resolve tickets faster and stabilize systems. The source does not name a separate storage product, but it clearly describes an AI-driven IT-operations stack that turns workplace telemetry into proactive support and asset optimization.

Data flow

Endpoint telemetry, sentiment signals, and asset-tracking data from Vale's global device estate flow into DEX, while Oxygen orchestrates field-service, service-desk, and provisioning workflows. Employees then receive support through the Virtual Service Lounge and Smart Digital Lockers, and predictive insights are used to resolve issues before they disrupt work.

Solution architecture

4 components · 3 layers
  1. Compute
    • Digital Employee Experience (DEX) Analyzes telemetry, sentiment, and asset signals to predict issues and optimize hardware usage.
  2. Serving
    • Smart Digital Lockers Lets employees replace or collect devices without traveling to support locations.
    • Virtual Service Lounge Provides instant remote support for employees across Vale's global operations.
  3. Orchestration
    • Oxygen Coordinates field services, service desk, equipment provisioning, and advanced automation for workplace support.

Architecture clues

  • DEX uses real-time device telemetry, sentiment analysis, and automated asset tracking.
  • Oxygen spans field services, service desk, equipment provisioning, and advanced automation.
  • The environment supports a globally dispersed workforce across 18 countries and 216 sites.

Evidence from the source

"DEX, a predictive, insight-driven model designed to prevent IT issues before they occur."
"Key innovations included Smart Digital Lockers which allow employees to replace or collect devices without traveling, a Virtual Service Lounge for instant remote support and proactive monitoring that uses real-time device data to detect and resolve issues before they disrupt work."
"Over 2,000 tickets are now handled monthly with stronger first-line resolution"
"Resolution times fell from 40 hours to under 4 hours"
"This system uses real-time device telemetry, sentiment analysis and automated asset tracking to give Vale deeper visibility into how its employees experience technology."
"Vale has saved $188,000 annually by recovering lost or underused hardware."
Transparency Evidence & methodology 100/100 reference value · 95% 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 confidence95%
  • Source authority20/25
    The main evidence is an official vendor-published customer story.
  • Claim traceability25/25
    12 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 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. DXC Technology

    Digital Employee Experience Software & Solutions for Vale | DXC Technology Customer Stories

    First-party
    https://dxc.com/insights/customer-stories/mining-new-possibilities-for-employee-experience
    Source type
    Vendor-published customer story
    Published
    Nov 7, 2025
    Supports
    • Customer
    • Industry
    • Region
    • Company size
    • Business problem
    • Solution
    • Products
    • Solution components
    • Data flow
    • Integrations
    • Business outcome
    • Metrics
    • Architecture
    • Publication date
    • evidence quotes

Date evidence