Industry
Energy & industrial automation
Customer
Global market leader
Technologies
TestComplete · TestExecute
at a glance

The numbers speak for themselves

206
Test cases automated
Critical regression scenarios across the desktop application ecosystem. 
206
Test cases automated
Critical regression scenarios across the desktop application ecosystem. 
206
Test cases automated
Critical regression scenarios across the desktop application ecosystem. 
206
Test cases automated
Critical regression scenarios across the desktop application ecosystem. 
Within three months, a focused offshore team automated 206 regression test cases and achieved more than 90% automation coverage across critical scenarios — accelerating feedback cycles, reducing manual effort, and improving release confidence, while creating a scalable testing foundation for future product versions and features.
the story

Who is the customer — and what was at stake?

A global leader in energy management and industrial automation needed a faster and more scalable way to validate its desktop-based power management applications across multiple product versions. Manual regression testing was slowing release readiness, increasing dependency on SMEs, and making consistent coverage harder to maintain.


Nagarro introduced an automation-first quality engineering approach using TestComplete and TestExecute. Within three months, a focused offshore team built a reusable desktop automation framework that automated 206 regression test cases and achieved more than 90% automation coverage across critical scenarios.


The initiative led to accelerated feedback cycles, reduced manual effort, and improved release confidence, while creating a scalable testing foundation for future product versions and features.

media (1)

 

Customer profile

  • glyph (2) Global leader in energy management & industrial automation
  • glyph (3) Desktop power management applications, multiple product versions
  • glyph (4) Desktop power management applications, multiple product versions
  • glyph (3) Desktop power management applications, multiple product versions
02 · the challenge

What was slowing releases down?

The client's growing desktop application ecosystem made regression testing complex and effort-intensive. Manual validation across product versions slowed releases, increased SME dependency, and made consistent coverage difficult to sustain as the landscape expanded. 
flash-1

In short

  • Every release meant weeks of manual regression across multiple product versions — dependent on scarce experts, prone to inconsistency, and harder to scale with each new version. 
  • Time-consuming regression cycles
    Manual validation across multiple product versions slowed release readiness and extended testing timelines. 
  • Selective test execution
    Functional experts were required for repetitive regression checks, limiting their availability to focus on innovation and complex validation. 
  • Inconsistent execution
    Manual processes increased the risk of human error, missed defects, and inconsistent test outcomes. 

What every release cost, before automation

  • Effort per regression cycle (illustrative share) — the same manual loop, repeated for every product version
  • Group 1-1

     
Where friction was building

What was slowing releases down?

The client's growing desktop application ecosystem made regression testing complex and effort-intensive. Manual validation across product versions slowed releases, increased SME dependency, and made consistent coverage difficult to sustain as the landscape expanded. 
flash-1

In short

  • Every release meant weeks of manual regression across multiple product versions — dependent on scarce experts, prone to inconsistency, and harder to scale with each new version.
icon-1
Time-consuming regression cycles
Manual validation across multiple product versions slowed release readiness and extended testing timelines. 
time circle
Time-consuming regression cycles
Manual validation across multiple product versions slowed release readiness and extended testing timelines. 
alert triangle
Inconsistent execution
Manual processes increased the risk of human error, missed defects, and inconsistent test outcomes. 
alert triangle
Inconsistent execution
Manual processes increased the risk of human error, missed defects, and inconsistent test outcomes. 

What every release cost, before automation

  • Effort per regression cycle (illustrative share) — the same manual loop, repeated for every product version
  • Group 1-1

     
the solution

How did Nagarro automate desktop regression testing?

Nagarro implemented a scalable desktop automation framework with TestComplete and TestExecute. In three months, a focused offshore team introduced reusable components, selective execution, and integrated reporting to improve regression efficiency and maintainability. 
  • Frame 4198
tag
End-to-end desktop automation
Automated complex workflows across multiple product versions using TestComplete's UI recognition, object mapping, and scripting capabilities. 
tag
End-to-end desktop automation
Automated complex workflows across multiple product versions using TestComplete's UI recognition, object mapping, and scripting capabilities. 
glyph (1)
Reusable automation framework
Built a modular framework with reusable components and libraries to support easier maintenance and future expansion. 
glyph (1)
Reusable automation framework
Built a modular framework with reusable components and libraries to support easier maintenance and future expansion. 
Three months, from manual to 90%+ automated 

Automation coverage built month by month

Month 1 
Framework foundation

Framework architecture, object mapping, the first flows.

●   reusable framework in place
Month 2
Framework foundation

Framework architecture, object mapping, the first flows.

●   reusable framework in place
Month 3
Framework foundation

Framework architecture, object mapping, the first flows.

●   reusable framework in place
  • Group 2-1

     
in pictures

The work, up close

text1

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text3

text4

the business outcome

Making organizational knowledge

A single Micrsdoft Teams chatbot

Reduced search effort

Conversational answers Framework architecture, object mapping, the first flows.

Reduced search effort

Conversational answers Framework architecture, object mapping, the first flows.

Reduced search effort

Conversational answers Framework architecture, object mapping, the first flows.

Reduced search effort

Conversational answers Framework architecture, object mapping, the first flows.

the outcome

What changed for the business?

The initiative shifted regression testing from manual effort to a faster, more reliable quality engineering model. It improved coverage, reduced manual execution, accelerated feedback cycles, and strengthened release confidence across product versions. 
  • 206 automated

    206 test cases automated

    Nagarro builds engineering intelligence into the systems enterprises already depend on, so the change shows up in the work rather than in the slide deck. 
  • 94%+ automated

    206 test cases automated

    Nagarro builds engineering intelligence into the systems enterprises already depend on, so the change shows up in the work rather than in the slide deck. 
  • Faster cycles

    206 test cases automated

    Nagarro builds engineering intelligence into the systems enterprises already depend on, so the change shows up in the work rather than in the slide deck. 
  • 206 automated

    206 test cases automated

    Nagarro builds engineering intelligence into the systems enterprises already depend on, so the change shows up in the work rather than in the slide deck. 
Before vs. after 
icon (3)

Before · manual regression

  • glyph (5) Manual validation across versions slowed release readiness 
  • glyph (5) Manual validation across versions slowed release readiness 
  • glyph (5) Manual validation across versions slowed release readiness 
flash-1

After · automation-first

  • glyph (5) Automated execution accelerates defect identification 
  • glyph (5) Automated execution accelerates defect identification 
  • glyph (5) Automated execution accelerates defect identification 
  • glyph (5) Automated execution accelerates defect identification 

Customer quote

By combining the right automation strategy with a reusable TestComplete framework, we helped the client move from effort-heavy manual regression testing to a scalable, high-coverage quality engineering model — enabling faster validation, improved consistency, and a stronger foundation for future releases. 
Vaibhav Goyal Associate Principal Engineer, Nagarro
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