Case study

Transforming Cloud Operations with Scalable ServiceNow Workflow Automation for an ICT Provider

APAC Market


  • Team size: 8 people
  • Development time: Ongoing, since 2024



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Background

By 2025-2026, enterprises are moving beyond isolated automation efforts and toward scalable, workflow-level transformation. McKinsey 2026 AI transformation article states that leading companies create value by reshaping products, services, and core business processes, not just by adopting new tools. Deloitte’s 2026 ServiceNow report highlights a move away from piecemeal automation toward end-to-end outcomes. In other words, operational excellence increasingly depends on how well organizations standardize, automate, and govern their processes through ServiceNow workflow automation. For a system integrator working across complex ICT environments, this shift is especially important. When service delivery involves multiple systems, multiple stakeholders, and frequent change requests, success depends on clear governance, automation, and a delivery model that can reduce risk without slowing execution.
Our client, a prominent ICT and system integration company that designs, builds, and maintains mission-critical ICT environments through a multi-vendor approach, engaged with us to improve their cloud environments management efficiency.
Challenges

Challenges

Before implementation
  • Managing hundreds of customer-specific cloud environments required significant manual effort
  • Each new tenant had to be provisioned individually, creating operational overhead and limiting scalability
  • High-risk network changes, such as firewall rule updates and routing modifications, increased the risk of service disruptions and outages
  • Critical operational information was distributed across multiple databases, forcing engineers to switch between systems during incident resolution
  • The lack of standardized ServiceNow workflow automation also made it difficult to scale operations consistently across environments.
During delivery
  • Some customer requirements required special handling that did not always align with standard ServiceNow best practices
  • ServiceNow upgrades introduced post-update issues that needed additional testing and remediation
  • Communication gaps between the implementation team and customer stakeholders occasionally slowed requirement clarification and decision-making
  • Inconsistent naming conventions for tables, fields, and system components created confusion across teams and environments
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ICT provider: Engineering team doing brainstorming in server hub, using AI powered tech
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Solution 

GEM first analyzed the client’s existing processes, identified operational bottlenecks, and assessed risks in managing cloud environments at scale. Based on this, the team designed a structured solution using Service Catalog and Flow Designer.

A “New Tenant” request was designed as a ServiceNow workflow automation, triggering provisioning across AWS, Azure, and private cloud systems., replacing manual setup with a standardized workflow. The solution emphasized reusability and scalability, allowing new services to be introduced with minimal rework.

To ensure quality and reliability, GEM integrated ServiceNow workflow automation with ATF (Automated Test Framework), enabling faster validation cycles and reducing manual testing effort. This enabled faster validation cycles and reduced dependency on manual testing.

At the integration layer, GEM leveraged IntegrationHub, Scripted REST APIs, and data transformation capabilities to connect ServiceNow with multiple legacy systems. Authentication, data exchange, and reconciliation processes were standardized to ensure consistency across environments.

In parallel, governance was strengthened through unified naming conventions, structured documentation, and a high-fidelity solution design methodology, ensuring that requirements were clearly defined and consistently implemented.

Tech stack

  • Service Catalog (Angular JS)
  • Flow Designer
  • ATF
  • IntegrationHub
  • Scripted REST API
  • JSON/XML
  • OAuth 2.0
  • IRE
  • CMDB

Output 

  • Designed standardized and automated workflows for tenant provisioning across multi-cloud environments
  • Built a reusable Service Catalog and workflow architecture to support scalable service delivery
  • Established integration frameworks connecting ServiceNow with cloud platforms and legacy systems
  • Developed automated testing capabilities to support continuous validation
  • Improved Service Portal usability for a more streamlined request experience
  • Defined unified naming conventions and governance standards across teams
  • Delivered structured documentation and high-fidelity solution design for consistent implementation

Impacts 

  • Delivery team capacity increased by 60%, growing from 2 to 5 consultants within the first year.
  • Achieved 99% requirement delivery with zero defects, demonstrating strong execution quality and platform stability.
  • Reduced regression testing effort from 5 people working for one week to less than 2 hours through ServiceNow Automated Test Framework (ATF).
  • Enabled automated execution of hundreds of test cases across forms, server-side logic, and user interfaces.
  • Detected 95% of defects during the development stage, significantly reducing defect leakage into production.
  • Developed and maintained 40+ catalog items and 45+ flows and sub-flows, supporting standardized and scalable service delivery.
  • Implemented 20+ integrations between ServiceNow, cloud platforms, and legacy systems to support authentication, data exchange, and reconciliation processes.
  • Replaced manual provisioning activities with ServiceNow workflow automation, reducing setup effort and minimizing configuration risks.
  • Established a reusable architecture that accelerated the rollout of new services while ensuring operational consistency.
  • Improved scalability by enabling cloud operations to grow without increasing operational complexity.
  • Created automated audit trails for every ATF execution, supporting regulatory compliance requirements and providing verifiable evidence of system readiness and control.
  • Leveraged ServiceNow workflow automation to drive faster execution, higher delivery quality, improved governance, and scalable operations.



Closing remarks

This case shows how GEM helped the client strengthen service delivery through automation, standardization, and disciplined ServiceNow implementation. By reducing manual work, improving testing efficiency, and enabling scalable workflow design, GEM supported the delivery of a more stable and adaptable platform for crucial ICT operations.


Explore a relevant ServiceNow case here: Modernizing Global Aerospace Service Operations with ServiceNow Managed Services