KPMG Healthcare

Fortune 50 healthcare organization

Customer Service Automation · IT Operations Automation

A complex post-merger environment left the healthcare organization with an over-customized ServiceNow platform, technical debt, inconsistent processes, and multiple service systems that made support difficult to maintain and scale.

10,000 knowledge articles and 500 catalog items
200,000+ employees adopted new ways of working
Go-live completed in under 9 months
More than 10,000 IT, HR, and procurement fulfillers

Reported impact

Business outcome

More than 200,000 employees adopted the new platform, AI-enabled interactions reduced live-agent demand, and the organization replaced a heavily customized environment with a more standardized and scalable service platform.

  • Customer Experience
  • Productivity Improvement
  • Scalability

Solution

KPMG led a greenfield reimplementation of the organization's enterprise service-management environment on ServiceNow. The project standardized IT processes, consolidated more than five legacy systems, and unified IT, HR, and procurement services through a single employee portal. With common data and workflows in place, the organization enabled ServiceNow's virtual agent and AI Control Tower to support employee requests and reduce demand on live agents. KPMG coordinated more than a dozen workstreams and over 50 integrations, governed the redesign with a technical design authority, and supported a phased rollout for more than 200,000 employees and 10,000 fulfillers. The source does not name specific AI models or describe the virtual agent's data retrieval and processing architecture.

Data flow

Employee service requests enter the unified ServiceNow portal and virtual agent; standardized workflows resolve routine needs or route them to IT, HR, and procurement fulfillers.

Solution architecture

3 components · 2 layers
  1. Serving
    • ServiceNow Hosts the standardized enterprise service-management platform and employee portal.
    • ServiceNow Virtual Agent Provides AI-enabled employee support interactions that reduce demand on live agents.
  2. Uncategorized
    • ServiceNow AI Control Tower Supports the organization's enterprise AI capabilities and their governance.

Architecture clues

  • Greenfield reimplementation rather than upgrading the heavily customized legacy platform
  • Single employee portal combines knowledge and service requests
  • The source does not specify the AI model or detailed knowledge-retrieval design

Evidence from the source

"AI-enabled interactions drove a significant reduction in live-agent demand."
"The company has enabled ServiceNow capabilities, including a virtual agent and AI control tower, allowing employees and service teams to work more efficiently."
Transparency Evidence & methodology 75/100 reference value · 79% 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 value75/100
  • 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 impact0/25
    0 metrics describe measurable impact.
  • Deployment scale10/10
    Rewards evidence of a live or scaled deployment and meaningful integration scope.
Evidence confidence79%
  • 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 evidence10/20
    2 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 specificity8/10
    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. KPMG

    Building a healthy AI foundation

    First-party
    https://kpmg.com/us/en/how-we-work/client-stories/building-healthy-ai-foundation.html
    Source type
    Vendor-published customer story
    Published
    Nov 6, 2026
    Supports
    • Customer
    • Industry
    • Business problem
    • Solution
    • Products
    • Solution components
    • Data flow
    • Integrations
    • Business outcome
    • Metrics
    • Architecture
    • Publication date

Date evidence

Not separately sourced Region, Company size. Treat these normalized attributes as lower-confidence until a dedicated source is added.