ServiceNow Commercial and Professional Services Global

Accenture

IT Operations Automation · Security and Compliance

Accenture needed enterprise-wide AI governance and consistent support workflows for roughly 800,000 employees and 1,900 business services as AI usage expanded across the company.

1,900 Business services managed on ServiceNow
15% Improvement in developer productivity using AI
899 AI assets governed with AI Control Tower

Reported impact

Business outcome

Accenture governs 899 AI assets with AI Control Tower, increased ServiceNow Otto production usage by 87%, improved developer productivity by 15%, and reduced incident-resolution time by 10%.

  • Compliance
  • Productivity Improvement

Solution

Accenture needed enterprise-wide AI governance and consistent support workflows for roughly 800,000 employees and 1,900 business services as AI usage expanded across the company. Accenture implemented a ServiceNow-centered stack built around ServiceNow AI Platform, AI Control Tower, ServiceNow Otto, and Virtual Agent. Key components included ServiceNow AI Platform provides the common workflow and AI layer; AI Control Tower governs AI inventory and ROI; ServiceNow Otto acts as an internal AI assistant under central governance; Virtual Agent handles conversational self-service. Requests enter through Virtual Agent before ServiceNow AI Platform, AI Control Tower, and ServiceNow Otto routes or fulfills the work. The same record of work is then exposed back to agents and end users through the platform. Running AI governance and compliance operations on one data model reduced manual handoffs and made expansion easier.

Data flow

Requests enter through Virtual Agent before ServiceNow AI Platform, AI Control Tower, and ServiceNow Otto routes or fulfills the work. The same record of work is then exposed back to agents and end users through the platform.

Solution architecture

4 components · 4 layers
  1. Compute
    • ServiceNow Otto Acts as an internal AI assistant whose usage and value can be governed centrally.
  2. Serving
    • Virtual Agent Handles conversational self-service and ticket deflection for users.
  3. Orchestration
    • ServiceNow AI Platform Acts as the common workflow and AI platform that unifies service data, automation, and user experiences.
  4. Governance
    • AI Control Tower Provides centralized AI governance, inventory, and ROI tracking across use cases.

Architecture clues

  • AI Control Tower centralizes AI inventory, lifecycle status, and ROI tracking.

Evidence from the source

Following deployment, ServiceNow Otto production usage increased 87%, giving stakeholders greater visibility into AI performance and business value
For instance, AI-powered virtual agents now manage routine requests, which reduces manual effort and enables the team to concentrate on innovation
Higher employee satisfaction as people get what they need faster and more easily, demonstrating some real advantages of AI-driven solutions
ServiceNow's scalable platform also enables Accenture to provide a consistent level of service without pulling developer or resources away from other high-value initiatives, with developer productivity improving up to 15% using AI
These AI Agents act autonomously to help resolve IT service tickets, reducing resolution times and freeing up teams for higher-value work
Transparency Evidence & methodology 85/100 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 value85/100
  • Problem clarity20/20
    Measures whether the customer's operational problem is specific enough to compare.
  • Implementation depth20/25
    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 impact15/25
    1 metric 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

    Accenture customer story

    First-party
    https://www.servicenow.com/customers/accenture-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 Sep 29, 2026 · ServiceNow · Publisher metadata Publisher-reported modification timestamp; not a publication date.
    Open date source
  • Unverified extracted date Sep 29, 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.