A leading telecom provider was slowed by outdated QA processes. Here’s how we revolutionized their testing, cutting time by 40% and boosting quality.

A Race Against Time

In the telecom industry, every delay in rolling out new features risks losing market share. A national telecom leader, relying on a complex platform to manage customer onboarding and service operations, faced a critical challenge. Their QA process, heavily dependent on manual testing, was slowing them down:

• Regression testing took five days per cycle, stalling feature releases.
• Manual methods missed critical defects, threatening customer trust.
• Limited automation blocked seamless integration with modern CI/CD pipelines.
• Dynamic interfaces and frequent updates disrupted testing stability.
• Their goal? Speed up QA, ensure reliability, and align with agile development practices.

Our Approach: Blending Human Insight with AI

We crafted a hybrid testing strategy that paired human expertise with cutting-edge automation, tailored to their platform’s unique demands.

Human-Led Testing: Our team focused on exploratory testing to uncover rare edge cases, validated dynamic interfaces against business needs, and designed detailed test cases for critical workflows like order processing. This ensured no detail was overlooked.

Smart Automation: Our automation framework delivered efficiency:

• Ran tests in parallel to slash runtime.
• Used AI-driven tools to adapt to interface changes, cutting script maintenance.
• Automated regression suites for fast, reliable validation.
• Integrated with CI/CD pipelines for continuous testing on every code commit.

By combining these approaches, we created a QA process that was both thorough and lightning fast.

“This transformation cut our QA time by 40%, letting us deliver features faster with total confidence.” – QA Lead

The Results: A Game-Changer

Our hybrid strategy delivered results that reshaped their QA and fueled business success:

• 40% Faster QA: Cycles dropped from 5 to 3 days.
• 98% Defect Detection: Near-perfect quality assurance.
• 80% Fewer False Positives: Smoother CI/CD pipelines.
• 75% Less Maintenance: AI tools streamlined upkeep.

These gains meant quicker feature rollouts, stronger customer experiences, and a competitive edge in the market.

Lessons for the Future

• Hybrid Wins: Human testing and automation together deliver unmatched coverage.
• AI Boosts Agility: Smart tools handle dynamic platforms with ease.
• CI/CD Integration: Early automation catches issues before they grow.
• Feedback Drives Progress: Regular reviews keep QA sharp and effective.