World's Leading Berry Producer
Cuts ERP Test Creation Time by 50%
50%+
Less Test Creation Time
80%
Match to Human-Authored Tests
70–75%
First-Version Accuracy
Food & Agriculture
Company Profile
- ✓World’s largest berry company
- ✓750+ independent growers across 5 continents
- ✓115,000+ workers, operations in 60 countries
The Challenge
The Solution
The Full Context
The organization embarked on a major ERP migration to Oracle, with hundreds of interconnected applications and business-critical processes in motion. QA analysts were spending up to two weeks per module writing and validating test cases from dense technical documentation. The bottleneck was not expertise but scale, traditional methods could not keep pace with the urgency of the transformation.
A purpose-built AI capability, developed with AuxoAI, was deployed to accelerate test case creation while preserving analyst context, control, and judgment. Rather than replacing the QA team, the solution augmented it, handling the heavy lift of test generation so analysts could focus on edge cases, coverage, and quality.
The Approach
The solution, Test Assist, was built to accelerate test case creation while keeping experienced analysts firmly in control.
Intelligent Documentation Parsing
Turned dense, static technical specs into dynamic insight. The system parsed structured and unstructured documentation at scale and built knowledge graphs mapping business logic, edge cases, and exceptions.
Automated First-Pass Test Generation
Produced draft test cases with built-in validation flows. Analysts reviewed and refined rather than authoring from scratch, cutting creation time from weeks to days to hours without sacrificing accuracy.
Traceability and Workflow Integration
Provided a clear line from each source requirement to its test output and slotted directly into existing QA tools and workflows, keeping analysts in full context and control.
The Impact
The AI-augmented QA capability delivered a 50%+ reduction in test case development time per module, 70–75% first-version accuracy, and 80% alignment with human-authored test cases.The solution eliminated the manual bottleneck of hand-crafting test cases from dense technical documentation. Work that once took nearly a week per module now takes days, or hours, with greater confidence in the results. Inconsistencies gave way to standardized, traceable coverage across the transformation.
The organization now operates with an AI-augmented QA function that scales without added headcount. Analysts focus on edge cases, coverage, and judgment while first-pass generation is automated. Teams report stronger collaboration, clearer documentation, and tighter standardization across a high-stakes, enterprise-wide migration.
Project Highlights
Solution
AI-augmented QA capability
First-pass test case generation
Knowledge-graph documentation mapping