ServiceNow Telecommunications Winchester, United Kingdom

Arqiva

Customer Service Automation · IT Operations Automation

Arqiva needed to replace fragmented customer service and field operations workflows with a single platform that could coordinate customer journeys, schedule the right engineer faster, and give customers and staff one consistent view of service activity.

130% productivity improvement in Field Service Management
4 months to develop and launch the CRM solution
64% of case journeys enhanced using AI in ServiceNow
Over two years, the volume of completed tasks has more than doubled

Reported impact

Business outcome

Arqiva improved field service productivity by 130%, enhanced 64% of case journeys with AI in ServiceNow, launched the CRM solution in four months, more than doubled completed task volume over two years, and reduced the hours of research, phone calls, and manual data entry needed to support customers and engineers.

  • Cost Reduction
  • Customer Experience
  • Productivity Improvement
  • Speed to Market

Solution

Arqiva consolidated customer and field operations on the ServiceNow AI Platform so sales, service, finance, and engineering could work from one control-tower view. Customer Service Management holds the shared record of customer interactions and case triage, while Now Assist for CSM generates case summaries and resolution notes that can be shared with customers through the portal. Field Service Management and IT Service Management are connected to the CMDB, which gives engineers a digital representation of the broadcast and metering network. When an incident occurs, the platform assigns the closest engineer with the right skills, exposes asset details through barcode scans, checks spare-parts requirements, and links logistics so parts are delivered near the job site. Arqiva also connects its own ServiceNow instance directly to customers that run ServiceNow, allowing data sharing and deeper analysis without manual re-entry.

Data flow

Customers open and track requests in the portal, where Customer Service Management records the interaction and Now Assist for CSM summarizes progress. Case triage, workforce scheduling, and AI signals feed the ServiceNow AI Platform, which uses CMDB context to dispatch the nearest qualified engineer in FSM and ITSM; engineers scan asset barcodes, confirm parts, and updates can be shared back to customers or into customers' own ServiceNow instances.

Solution architecture

6 components · 3 layers
  1. Compute
    • Now Assist for CSM Creates case resolution and summary notes that improve communications and reduce manual research.
  2. Orchestration
    • ServiceNow AI Platform Acts as Arqiva's shared platform of work across customer, field, and operational teams.
    • Customer Service Management Maintains the common record of customer interactions, cases, and service workflows.
    • Field Service Management Dispatches engineers, coordinates field work, and lets staff manage jobs end to end in the app.
    • IT Service Management Works with field service workflows to manage incidents and escalations around network operations.
  3. Governance
    • CMDB Provides the digital representation of Arqiva's network that field and service teams rely on.

Architecture clues

  • Arqiva directly connects its own ServiceNow instance with customers that also use ServiceNow.
  • Arqiva maintains over one million assets across 1,450 broadcast sites.
  • Engineers scan asset barcodes in the FSM app and trigger parts delivery through linked logistics workflows.

Evidence from the source

Now Assist for CSM automatically creates case resolution and summary notes and shares them with customers-saving teams hours of manual work.
Our ultimate goal is one unified system and platform of work, with every aspect of the customer journey-sales, service, finance-all managed in ServiceNow, providing a single control tower view.
Previously many of these tasks would require multiple phone calls. Now, everything is automated in the FSM agent app.
With ServiceNow CRM, we've made huge progress connecting our Field Service Management (FSM), IT Service Management, and Customer Service Management which are all connected to our configuration management database (CMDB)
the telecommunications company now directly connects its own ServiceNow instance with theirs-automating data sharing and removing the need for manual data entry.
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
    2 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

    Arqiva customer story

    First-party
    https://www.servicenow.com/customers/arqiva.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.