ServiceNow Commercial and Professional Services Germany

CANCOM

Customer Service Automation · Enterprise Knowledge Search

CANCOM had siloed data across ERP, CRM, SharePoint, and other systems, which made it hard to streamline services, reuse enterprise knowledge, and give employees or customers consistent support.

1 Unified platform supporting all internal services
2x Adoption of CANCOM Assistant in just one year
80% Deflection rate of tickets through all departments

Reported impact

Business outcome

CANCOM doubled assistant adoption in a year, deflected up to 80% of tickets across departments, and established one unified platform for employee and customer services.

  • Customer Experience
  • Productivity Improvement
  • Scalability

Solution

CANCOM had siloed data across ERP, CRM, SharePoint, and other systems, which made it hard to streamline services, reuse enterprise knowledge, and give employees or customers consistent support. CANCOM implemented a ServiceNow-centered stack built around ServiceNow AI Platform, Technology Provider Service Management, Now Assist, and ServiceNow portal. Key components included ServiceNow AI Platform provides the common workflow and AI layer; Technology Provider Service Management runs service-provider onboarding and customer operations; Now Assist adds generative search, summarization, and drafting; ServiceNow portal serves self-service access for employees and customers. The stack also connected ERP, CRM, SharePoint, Microsoft Teams, and Slack so the workflows could reuse existing records, documents, and collaboration channels instead of forcing teams back into manual handoffs.

Data flow

Requests enter through ServiceNow portal, are classified or summarized by Now Assist, and uses context from ERP, CRM, SharePoint, Microsoft Teams, and Slack before ServiceNow AI Platform and Technology Provider Service Management routes or fulfills the work. Updates then flow back to agents, account teams, or customers through the same connected experience.

Solution architecture

4 components · 3 layers
  1. Compute
    • Now Assist Adds generative-AI capabilities such as summarization, drafting, search, and guided responses inside workflows.
  2. Serving
    • ServiceNow portal Provides the self-service front end where employees and customers access the assistant and related workflows.
  3. Orchestration
    • ServiceNow AI Platform Acts as the common workflow and AI platform that unifies service data, automation, and user experiences.
    • Technology Provider Service Management Runs service-provider processes such as onboarding, orders, and customer operations on one workflow backbone.

Architecture clues

  • Knowledge content is reused as a source for self-service or AI-assisted answers.

Evidence from the source

Adding value for employees and customers into the future CANCOM is following a phased approach to developing value-added services based on the ServiceNow AI Platform
Finally, CANCOM enhances the platform by developing value-added services that extend ServiceNow’s capabilities, driving greater efficiency and innovation for businesses
Ulrich Mayr CIO, CANCOM Building a cohesive and streamlined digital environment CANCOM faced challenges due to siloed data across multiple systems, including ERP, CRM, and SharePoint, with limited integration between them
“This helps us gain trust internally, and with customers,” says Simon
“We envision having AI in each corner of our business, end-to-end
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

    CANCOM customer story

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