100% Auditability Achieved in Retail Testing with UiPath & Gen AI
Client Overview
New features and updates increased the number of scenarios to test, and traditional testing couldn’t handle continuous retail updates, complex user journeys, and seasonal traffic surges. A global retail enterprise was trying to release faster while still relying on manual test design, scripting, triaging, and reporting. Testing started taking longer, and the gaps widened from one release to the next.
Every Update Added More Pressure on Validation
The claims process involved multiple handoffs, and without a connected workflow, the client spent more time following up on claim movement and processing status.
01
Unstructured Requirements
Requirements were inconsistent and required manual interpretation before testing could begin.
02
Manual Test Creation
The process was slow and inconsistent because test cases had to be written from scratch.
03
Skill-Heavy Scripting
Test script creation required specialized expertise, which limited speed and scalability.
04
Reactive Issue Analysis
Failures were addressed only after they occurred. Teams had to manually investigate issues, trace dependencies, and identify root causes.
Taking a Different Approach to Testing
Indium started by understanding how inputs moved through the system and the outcomes they produced. The goal was to remove friction at each stage and build a setup that remained consistent even as conditions changed. They simplified information processing, streamlined action triggers, and improved issue identification.
Organizing Inputs
The first step was to structure incoming information. It could then be used directly without repeated clarification or manual effort.
Connecting the Flow
Each stage was aligned into a continuous process to reduce delays caused by handoffs and disconnected steps.
Reducing Effort Across Stages
The focus was on lowering manual effort across the process, and it did not depend on constant human involvement.
Improving Issue Visibility
Issues needed to be identified faster and with more clarity. Resolution did not rely on long investigation cycles.
Building for Consistency
The approach ensured stable outcomes across different scenarios without variation caused by manual execution.
Rebuilding Testing with UiPath and Gen AI
The system was built to take raw inputs, convert them into structured outputs, and execute them without delays or manual handoffs. Each step was designed to reduce effort, improve traceability, and ensure faster turnaround from input to resolution.
01
Requirements Made Actionable
Raw requirement documents were converted into structured formats using UiPath & Gen AI. Every input could be directly used without manual interpretation, with consistency maintained across all requirements.
02
Test Cases Created Instantly
Requirements were translated into complete, traceable, step-level test cases without manual effort. Each case stayed linked to its source, with full coverage and clarity built in.
03
Scripts Generated in Minutes
UiPath’s low-code automation builder and Gen AI code assist were used to generate scripts automatically. Tasks that earlier took days were completed within minutes, with minimal dependency on specialized skills
04
Root Causes Identified Automatically
Failures were analyzed using UiPath AI to identify root causes, highlight broken elements, and detect environment or data problems. Issues were understood quickly without extended investigation cycles.
The Outcome of Removing Manual Dependency
A self-sustaining system handled continuous updates, complex journeys, and high-traffic periods without delays. Once inputs were structured and execution was aligned, results stayed consistent and issues did not pile up.
80 %
Less Effort in End-to-End Testing
Manual effort across the testing lifecycle was reduced, and key steps were handled automatically without manual involvement.
100 %
Auditability Across the Process
Every step, from input to execution, was tracked and recorded through AI-driven reporting.
3 ×
Increase in Team Productivity
With no bottlenecks slowing down validation, teams were able to move faster and focus on higher-value work instead of repetitive tasks.
No Loose Ends Left in the Process
The entire flow now runs from input to outcome without breaks. Each step connects directly to the next, with full traceability in place, which removes the need to revisit or rework anything later.
Even as updates roll out and user journeys become more complex, the process runs without intervention. Issues are addressed within the flow itself, and nothing is left pending or pushed to later stages.
Claims dispatch activities moved through an automated workflow and reduced dependency on manual coordination and repetitive operational follow-ups.