ServiceNow Healthcare Georgia, United States

Wellstar Health System

Enterprise Knowledge Search · IT Operations Automation

Wellstar clinicians needed help inside the tools they already used, but disconnected service systems forced staff to hunt for answers, slowing care and making growth by merger hard to absorb without new support hires.

11 FTE capacity created through automation
25% Drop in incident response time
300% ROI on ServiceNow automation investments
64% Reduction in service desk handle time

Reported impact

Business outcome

Wellstar used ServiceNow automation to absorb a merger without adding support headcount, generated the equivalent of 11 FTEs in capacity, achieved 300% ROI, cut incident response time by 25%, and reduced service desk handle time from 25 minutes to nine.

  • Cost Reduction
  • Productivity Improvement
  • Scalability

Solution

Wellstar used the ServiceNow AI Platform as the operating backbone for employee support across IT, HR, and facilities, then paired it with Moveworks and Now Assist for ITSM to put assistance where clinicians already work. Wali, the health system's assistant, is embedded in the intranet, Microsoft Teams, and the EMR support environment so staff can ask questions without opening a separate portal. Moveworks interprets requests, finds tip sheets and answers for Epic workflows, connects underlying systems, and completes simple tasks automatically. More complex issues flow into IT Service Management, where Now Assist summarizes incidents, drafts resolution notes, and helps generate new knowledge content from real cases. A common service data model ties the workflows together so support scales across the merged health system without additional headcount.

Data flow

Clinicians ask Wali for help in the intranet, Microsoft Teams, or the EMR support environment. Moveworks interprets the request, connects systems, surfaces Epic guidance or completes the task, and sends complex issues into IT Service Management, where Now Assist for ITSM summarizes the incident and feeds knowledge back into future self-service.

Solution architecture

4 components · 3 layers
  1. Compute
    • Now Assist for ITSM Summarizes incidents, drafts resolution notes, and helps build new support knowledge from cases.
  2. Serving
    • Moveworks Provides the Wali assistant interface that answers questions and completes tasks in clinician workflows.
  3. Orchestration
    • ServiceNow AI Platform Acts as the shared workflow backbone for employee support across IT, HR, and facilities.
    • IT Service Management Manages the service desk workflows that receive escalations and track complex incidents to resolution.

Architecture clues

  • Now Assist knowledge generation is being piloted on real case data.
  • Wali is embedded across the intranet, Microsoft Teams, and the EMR support environment.
  • Wellstar uses a common service data model (CSDM) as the foundation for proactive IT operations.

Evidence from the source

Built on Moveworks and named for the Wellstar Automation Library, Wali lives inside the intranet, Microsoft Teams, and the EMR support environment
Incident response time dropped by 25%. Average service desk handling time fell from 25 minutes to nine, a 64% improvement.
Now Assist for ITSM instantly summarizes incidents so agents can understand issues without reading long ticket histories.
The result: 300% ROI and the equivalent of 11 additional FTEs in capacity, with funds redirected toward patient care.
Underpinning all of it is a common service data model (CSDM)
Transparency Evidence & methodology 100/100 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 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
    4 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 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 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. ServiceNow

    Wellstar Health System customer story

    First-party
    https://www.servicenow.com/customers/wellstar-ai.html
    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

  • Sitemap last modified Jul 31, 2026 · ServiceNow · Publisher metadata Publisher-reported modification timestamp; not a publication date.
    Open date source
  • Unverified extracted date Jul 31, 2026 · ServiceNow · Unknown Legacy extracted date without source-page confirmation.
    Open date source
Not separately sourced Industry, Region, Company size. Treat these normalized attributes as lower-confidence until a dedicated source is added.