ServiceNow Commercial and Professional Services Dublin, Ireland

Auxilion

Customer Service Automation · IT Operations Automation

Auxilion needed a service-management operating model that could integrate customer environments, rationalize data trapped in legacy systems, and scale managed support for SMB customers without adding more complexity, risk, or manual work for agents.

100% platform reliability
€8M in new business wins

Reported impact

Business outcome

Auxilion turned the TPSM rollout into €8 million of new business, maintained 100% platform reliability, and created a lower-risk service model that helps customers onboard faster and scale support more efficiently.

  • Revenue Growth
  • Risk Reduction
  • Scalability
  • Speed to Market

Solution

Auxilion rebuilt its managed-services operating model around Technology Provider Service Management (TPSM) so it could serve SMB customers in Ireland and the UK with less complexity and more automation. TPSM and its single data model sit at the center of the environment, integrating customer ecosystems and orchestrating data that had previously been held in disparate legacy systems into one service-management backbone. On top of that shared model, Auxilion uses TPSM to run structured customer onboarding, switch agents securely between customer organizations and teams, and generate proactive cases with real-time insights so communication stays consistent as issues emerge. The same platform also simplifies technology-infrastructure management by giving teams a unified view of tools and systems, while AI and machine learning support fast, secure data acquisition and rationalization during onboarding.

Data flow

Customer and legacy-system data is acquired during onboarding, rationalized with AI and machine learning, and unified inside TPSM's single data model. TPSM then orchestrates service workflows, proactive case generation, and secure agent switching across customer teams, with real-time insights flowing back to agents and customers for faster communication and support.

Solution architecture

1 components · 1 layer
  1. Orchestration
    • Technology Provider Service Management Provides the single data model and managed-services workflow backbone for onboarding, case orchestration, and customer support.

Architecture clues

  • AI and machine learning are used during onboarding for fast, secure data acquisition and rationalization.
  • Auxilion is migrating customers into a one-to-many delivery model so agents can switch securely between organizations and teams.
  • TPSM's single data model sits at the core of Auxilion's service-management ecosystem.

Evidence from the source

Agents proactively serve customers with real-time insights, while the automatic generation of proactive cases ensures better communication and a seamless experience.
Auxilion’s new service management ecosystem, with TPSM and its single data model at its core, allows it to integrate with customer ecosystems, to orchestrate previously disparate data held in legacy systems, and to improve transparency, quality, and speed of service.
In fact, Auxilion’s investment has paid dividends in the form of new business wins worth €8 million.
TPSM also provides structured, repeatable, and transparent customer onboarding into Auxilion’s ecosystem, through the fast, efficient, and secure acquisition and rationalization of data, utilizing AI and machine learning.
We’re investing in ServiceNow TPSM because of the huge advance in service management capability that it offers.
Transparency Evidence & methodology 90/100 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 value90/100
  • 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 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

    Auxilion customer story

    First-party
    https://www.servicenow.com/customers/auxilion.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 30, 2026 · ServiceNow · Publisher metadata Publisher-reported modification timestamp; not a publication date.
    Open date source
  • Unverified extracted date Jul 30, 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.