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One of the largest and most established insurance companies in Asia relied heavily on manual testing to validate its mission-critical applications.
While the QA team was strong in domain knowledge, they lacked automation expertise, leading to long execution cycles, recurring bottlenecks, and delayed releases during each sprint.
To address these challenges, the company adopted CoTester, the first enterprise-grade AI agent for software testing, to accelerate test creation, reduce dependency on automation specialists, and empower every tester, manual or technical, to build advanced test suites.
Challenges Before CoTester: Slow Test Creation, Skill Gaps, and Delayed Sprints
The insurance enterprise operated across multiple business lines, each with complex workflows that needed continuous validation. But before CoTester, their QA setup struggled with three fundamental issues:
1. Complex test cases required deep automation skills
Many critical insurance workflows, such as policy creation, claims processing, and regulatory compliance journeys, were too complex for the manual team to automate. Each test case required:
- Script writing
- Debugging
- Maintenance
These steps often delayed releases and overstretched the automation engineers.
2. Manual testers couldn’t contribute to automation
Although the team had strong insurance domain knowledge, they lacked the coding background needed to participate in automation efforts, resulting in a significant execution gap in every sprint.
3. Long turnaround time for each release cycle
Delays in test creation often meant:
- Rollovers to subsequent sprints
- High risk of regression failures
- Increased dependency on UAT for catching issues
Also Read: A Comprehensive Guide on Insurance Application Testing
The Solution: AI-Assisted Authoring and Self-Healing with CoTester
The enterprise deployed CoTester across its QA teams, integrating it into existing sprint workflows.
Within days, testers began using natural language to describe scenarios, and CoTester automatically generated robust test cases, complete with data variations, reusable components, and optimized execution logic.
Here’s how CoTester transformed their process:
1. AI-generated tests in minutes
CoTester allowed QA members to describe test scenarios in natural language. The AI converted them into:
- Robust automated test scripts
- Data-driven test variations
- Reusable components for sprint-to-sprint execution
2. Self-healing to reduce maintenance
CoTester automatically identified broken locators, optimized flakiness, and improved script reliability, cutting debugging and self-healing efforts by 80%.
3. Upskilling manual testers without coding
CoTester acted as an intelligent testing coach:
- Explained test logic
- Suggested improvements
- Guided testers through advanced scenarios
This transformed previously manual-only testers into AI-assisted test automation contributors, without requiring any coding skills.
4. Accurate execution on TestGrid infrastructure
The insurance enterprise executed all CoTester-created scripts on TestGrid’s real device cloud, ensuring accurate results across device models, OS versions, and network conditions.
The Results: Faster Sprints, Higher Coverage, and Fewer Bugs
1. Reduced test creation time from days to minutes
Test cases that previously took 3–4 days to write, debug, and automate were entirely generated, optimized, and executed by CoTester in under 30 minutes.
2. 70% faster sprint-based testing
With CoTester automatically generating and maintaining scripts, sprint cycles became significantly faster, enabling QA to keep up with rapid development without compromises on coverage.
3. Manual testers successfully upskilled to AI-driven test automation
CoTester served as an AI mentor, guiding manual testers step by step. Within weeks:
- Manual testers started generating complex automated test flows without writing code
- QA bandwidth increased by 40% as dependency on senior automation engineers dropped
- The team adopted a more proactive testing strategy within each sprint
4. 30% fewer production bugs
With more scenarios automated and broader coverage achieved through CoTester, defect leakage has been reduced significantly.
Most importantly, CoTester helped the team eliminate their biggest bottleneck—slow, skill-dependent test creation—and replace it with continuous, AI-driven automation.
What the Client Had to Say
“Before CoTester, creating a single automated test took days. Our manual testers couldn’t contribute, and sprints were always running late. With CoTester, tests are generated in minutes and heal themselves. We’ve accelerated every release without hiring a single additional engineer.” — Head of QA, Leading Asian Insurance Enterprise
Why AI-Driven Testing Matters for Modern Insurance Teams
Insurance applications evolve rapidly: new products, regulatory updates, and policy changes introduce workflow changes every sprint. Manual validation and traditional scripting can’t keep up with this pace.
With CoTester, enterprises can:
- Build and maintain automation without coding
- Eliminate delays caused by script creation and debugging
- Expand coverage across policy, claims, and compliance flows
- Accelerate every release cycle
- Empower manual testers to contribute to automation
Ready to accelerate your next sprint?
See how CoTester can help your QA team move faster, increase coverage, and deliver higher-quality releases. Book a demo with CoTester.
