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Case studyFableRun Case Study

FableRun, Benchmark's GenAI-powered Testing-as-a-Service platform, removing QA as the release bottleneck for a 200+ releases-a-year B2B SaaS platform.

Industry
Enterprise SaaS / FinTech
Headquarters
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FableRun Case Study
80%
Faster regression testing
Key Metrics Measured after
rollout
0%
Less Regression Testing Time
0%
Reduced Test Script Maintenance Effort
0+
Automated Coverage of Critical User Journeys
0%
Fewer Defects Escaping to Production
0%
Less Test Creation Effort
Background

A financial services and insurance SaaS platform outgrowing manual regression and brittle automation.

A leading North America based B2B SaaS company provides an enterprise platform for clients in the financial services and insurance sectors.

With web and mobile applications, over 200 releases annually, and strict client SLAs, the engineering team was under constant pressure to deliver faster without compromising quality.

However, the QA process relied heavily on manual regression testing and a script based automation framework that required specialized engineers to maintain.

As the platform scaled, testing became the biggest bottleneck in the release cycle.

The platform consisted of multiple interconnected modules, complex user workflows, and frequent UI updates driven by a fast paced product roadmap.

Every release required extensive manual regression testing, while the existing automation scripts frequently broke after UI changes, resulting in high maintenance effort and limited test coverage.

As a result, releases were delayed, production defects increased, and support costs grew.

The company needed a more intelligent and scalable approach to test automation that could generate, execute, and maintain tests in line with its rapid development cycle.

Background
Enterprise SaaS / FinTech
—
Challenges faced & defined solution

6 real bottlenecks. 7 matching fixes.

Every operational bottleneck reported was matched to the workstream(s) that resolved it.

The challenge

Manual Regression Bottlenecks

Every release required days of repetitive manual regression testing, delaying deployments and consuming QA capacity that could have gone into exploratory testing.

Defined solution

End-to-End Regression Suite

A comprehensive, continuously expanding regression suite covering critical user journeys, role-based workflows, and negative scenarios across the platform.

Testing-as-a-Service Delivery Model

Benchmark's QA specialists managed the platform end to end, including test strategy, test creation, execution, and defect triage. This enabled the client to scale its quality assurance efforts without the need to build and maintain an in-house automation team.

The challenge

Brittle Automation Scripts

Existing script-based tests broke with nearly every UI change, forcing engineers to spend more time fixing tests than writing new ones.

Defined solution

Self-Healing Test Automation

When UI elements changed, tests adapted automatically instead of failing, drastically reducing maintenance effort and false positive failures.

The challenge

Dependency on Specialized Skills

Test automation required dedicated engineers proficient in coding frameworks, making coverage expansion slow and expensive.

Defined solution

GenAI-Powered Test Case Generation

FableRun generated executable test cases directly from requirements, user stories, and application workflows described in natural language, eliminating the need for manually coded test scripts.

Testing-as-a-Service Delivery Model

Benchmark's QA specialists managed the platform end to end, including test strategy, test creation, execution, and defect triage. This enabled the client to scale its quality assurance efforts without the need to build and maintain an in-house automation team.

The challenge

Low and Uneven Test Coverage

Critical user journeys, edge cases, and cross-browser scenarios remained untested, allowing defects to leak into production.

Defined solution

End-to-End Regression Suite

A comprehensive, continuously expanding regression suite covering critical user journeys, role-based workflows, and negative scenarios across the platform.

Cross-Browser & Cross-Device Execution

Tests ran in parallel across browsers, devices, and environments, ensuring consistent behavior everywhere the product was used.

The challenge

Slow Feedback Loops

Test cycles could not keep pace with CI/CD, so developers received defect feedback late, when fixes were costlier.

Defined solution

CI/CD Pipeline Integration

FableRun plugged into the client's CI/CD pipeline, triggering automated test runs on every build and delivering defect feedback to developers within minutes.

The challenge

Rising Cost of Quality

The combined cost of manual testing effort, script maintenance, and production defects grew with every release, without a corresponding improvement in quality.

Defined solution

Actionable Reporting & Analytics

Dashboards tracked coverage, pass/fail trends, defect density, and flaky-test signals, giving engineering leadership real-time visibility into release readiness.

The Impacts

Real, measurable improvements in regression speed, coverage and defect detection.

Faster, More Predictable Releases

Automated regression compressed testing from days to hours, removing QA as the release bottleneck and enabling more frequent deployments.

Dramatically Lower Maintenance Burden

Self-healing tests eliminated the constant script-repair cycle, freeing engineers to expand coverage instead of fixing breakages.

Broader, Deeper Coverage

GenAI-driven test generation extended automation to workflows and edge cases that were previously untested.

Earlier Defect Detection

In-pipeline execution surfaced defects at commit time, when they were fastest and cheapest to fix, reducing production escapes.

Reduced Cost of Quality

The Testing-as-a-Service model delivered enterprise-grade automation without the cost of hiring and retaining a specialized automation team.

Improved Release Frequency

Release frequency likely improved, with QA no longer the limiting factor in the deployment pipeline.

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