Oracle Commercial and Professional Services United States

ADT

Customer Service Automation · IT Operations Automation

ADT wanted to connect HR data and AI so it could improve talent and compensation decisions, answer employee questions faster, and automate repetitive recruiting and performance-management work while keeping strong governance over workforce data.

AI resolves 90% of basic HR inquiries
Attrition in key roles decreased by 30%
Employee self-service increased by more than 200%
HR Central reduced ticket volume by 26%

Reported impact

Business outcome

ADT improved the employee experience and HR efficiency by resolving most basic HR questions automatically, making turnover prediction and workforce planning more proactive, accelerating recruiting, and governing AI use centrally so the company can expand HR automation safely.

  • Productivity Improvement
  • Risk Reduction

Solution

ADT connected Oracle Fusion Cloud HCM, Oracle Fusion HCM Analytics, Oracle Fusion Agentic Applications, Oracle HR Help Desk, and Oracle Recruiting into one HR data foundation. Workforce transactions, help-desk inquiries, performance check-ins, goal updates, and employee self-service activity are analyzed in Oracle Fusion HCM Analytics so leaders can spot attrition risk, skills gaps, manager effectiveness, and other patterns by location, role, tenure, and team. Oracle's AI and agentic features then surface those insights inside self-service, onboarding, recruiting, and performance-management workflows, helping the company resolve inquiries automatically, guide new hires, draft reviews and goals, and automate recruiting actions. ADT also operates the environment inside Oracle's secure framework with named AI-agent owners, change-management governance, and human oversight for talent decisions, giving the company a governed path to scale workforce AI rather than isolated point solutions.

Data flow

HR transactions, help-desk tickets, performance check-ins, goals, and self-service activity flow into Oracle Fusion HCM and HCM Analytics, where dashboards and AI models identify patterns such as flight risk and skills gaps; those insights feed self-service, onboarding, review writing, and recruiting workflows through Oracle Fusion Agentic Applications, Oracle HR Help Desk, and Oracle Recruiting.

Solution architecture

5 components · 1 layer
  1. Serving
    • Oracle Fusion Cloud Human Capital Management (HCM) Provides ADT's core workforce, self-service, and onboarding data foundation.
    • Oracle Fusion HCM Analytics Analyzes workforce patterns such as attrition, performance, manager effectiveness, and skills gaps.
    • Oracle Fusion Agentic Applications Adds agentic AI capabilities for proactive insight surfacing and workflow orchestration across HR processes.
    • Oracle HR Help Desk Supports employee inquiry resolution and self-service automation within the shared HR environment.
    • Oracle Recruiting Automates high-volume recruiting workflows and uses AI to accelerate hiring and reduce attrition in key roles.

Architecture clues

  • AI runs within Oracle's secure framework with human-in-the-loop oversight for major talent decisions
  • Analytics and agentic workflows share the same HCM data foundation
  • Named owners and governance controls exist for each AI agent

Evidence from the source

ADT has also automated more than 400,000 recruiting actions, including background checks and offer transactions.
That model is now 78% accurate, Scott says, prodding managers to intervene before employees give their notice.
The company reports that employee self-service has increased by more than 200%, and AI now resolves 90% of basic HR inquiries.
Transparency Evidence & methodology 100/100 reference value · 74% 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
    6 metrics describe measurable impact.
  • Deployment scale10/10
    Rewards evidence of a live or scaled deployment and meaningful integration scope.
Evidence confidence74%
  • 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 evidence15/20
    3 direct source quotes retained.
  • Date provenance0/10
    The publication date has no documented provenance.
  • 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. Oracle

    ADT customer story

    First-party
    https://www.oracle.com/customers/adt/
    Source type
    Vendor-published customer story
    Supports
    • Customer
    • Business problem
    • Solution
    • Products
    • Solution components
    • Data flow
    • Integrations
    • technical area
    • use case category
    • Business outcome
    • outcome category
    • Metrics
    • Architecture
    • evidence quotes

Date evidence

  • First archived Jan 21, 2026 · Internet Archive · Independent First Wayback Machine capture; confirms the page existed by this date, not when it was published.
    Open date source
Not separately sourced Industry, Region, Company size. Treat these normalized attributes as lower-confidence until a dedicated source is added.