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Google Cloud Software / SaaS United States

UKG

IT Operations Automation · Security and Compliance

With Google Cloud, UKG is delivering a governed, agentic system of action, providing real-time intelligence to tens of millions of frontline workers.

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"We're creating literally a fleet of agents, enabling and empowering the engineer to go much faster, from requirements validation to shipping code."
2x faster CPU performance, enabling real-time workforce intelligence
AI agents for complex data analysis, compliance, payroll, and more
So, if you know how agents work in your own workflow, you can apply those learnings and then bring it to the customer," Newton says.

Reported impact

Business outcome

2x faster CPU performance, enabling real-time workforce intelligence

  • Productivity Improvement
  • Scalability
  • Speed to Market

Solution

To continue transforming how work gets done, UKG partnered with Google Cloud to use its full suite of AI technologies to accelerate the adoption and delivery of AI agents across its Workforce Operating Platform, unlocking even deeper workplace understanding for tens of millions of employees. With ADK, we're able to leapfrog our timeline tremendously-four to six weeks producing prototypes and working software. Agent Platform, it's solving some key problems, from hosting agents to securing them to the governance around them. I can just use those things out-of-the-box and get back to creating value. UKG wanted to allow customers to act with greater speed and simplicity with AI, directly in their daily workflows. To realize this vision, UKG created UKG Bryte™ AI-people-first AI that uses Google's Gemini models to take the complexity out of decision-making and quickly turn insights into action.

Solution architecture

6 components · 2 layers
  1. Storage
    • BigQuery Serves as the governed analytics and storage layer for high-volume operational data, features, and reporting.
    • AlloyDB Stores transactional state and application data for the operational workflow at low latency.
  2. Orchestration
    • Gemini Enterprise Agent Platform Coordinates multi-agent workflows, tool calling, and governed automation across the application.
    • Gemini Enterprise Provides the reasoning or generation layer used for classification, orchestration, content generation, or analysis.
    • Agent Development Kit (ADK) Coordinates multi-agent workflows, tool calling, and governed automation across the application.
    • Agent Platform Coordinates multi-agent workflows, tool calling, and governed automation across the application.

Architecture clues

  • 24/7 agentic self-service for tens of millions of employees
  • 80,000+ organizations transforming work with agentic AI
  • UKG is trusted worldwide to turn workforce insights into action, helping more than 80,000 organizations across 150 countries empower their HR, operations, payroll, and frontline teams to make mission-critical decisions confidently every day.
  • With Google Cloud, UKG is delivering a governed, agentic system of action, providing real-time intelligence to tens of millions of frontline workers.

Evidence from the source

2x faster CPU performance, enabling real-time workforce intelligence
Making Gemini Enterprise part of the team
To ensure Bryte AI can reliably reason and act across a wide variety of tasks, UKG grounds agents in People Fabric-its data and intelligence platform. Built with Google Cloud's Agentic Data Cloud , including AlloyDB for
To further scale these efforts, UKG is using Gemini Enterprise Agent Platform and Agent Development Kit (ADK) to build and deploy new Bryte AI agents for everything from complex data analysis to routine HR and admin task
UKG is trusted worldwide to turn workforce insights into action, helping more than 80,000 organizations across 150 countries empower their HR, operations, payroll, and frontline teams to make mission-critical decisions c
Transparency Evidence & methodology 76/100 reference value · 75% 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 value76/100
  • Problem clarity20/20
    Measures whether the customer's operational problem is specific enough to compare.
  • Implementation depth15/25
    Rewards named components, data flow, integrations, and architecture detail.
  • Outcome specificity16/20
    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 confidence75%
  • 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 provenance0/10
    The publication date has no documented provenance.
  • Source transparency8/10
    1 source reference document publisher, URL, authority, retrieval, and supported fields.
  • Implementation specificity6/10
    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. Google Cloud

    UKG customer story

    First-party
    https://cloud.google.com/customers/ukg
    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 Sep 13, 2026 · Internet Archive · Independent First Wayback Machine capture; confirms the page existed by this date, not when it was published.
    Open date source
  • Sitemap last modified Sep 10, 2026 · Google Cloud · Publisher metadata Publisher-reported modification timestamp; not a publication date.
    Open date source
Not separately sourced Industry, Region, Company size. Treat these normalized attributes as lower-confidence until a dedicated source is added.

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