The results demonstrate that automated, risk‑focused testing can turn ERP quality assurance from a cost drain into a strategic asset, freeing engineering capacity for innovation.
Enterprises running Oracle‑based ERP suites have long wrestled with costly, time‑consuming manual testing. At Oracle AI World, UL Solutions and Emerson illustrated how the traditional “maintain‑and‑sustain” model is giving way to automated quality engineering. Both organizations faced fragmented landscapes—UL juggling Oracle EBS, HCM and Salesforce CPQ, Emerson overseeing 17,000 test cases—where manual regression consumed dozens of hours each week. Their joint presentation highlighted a clear business imperative: replace repetitive validation with tools that can scale, accelerate releases, and preserve system integrity.
The core of their transformation was Tricentis’ Tosca for functional automation and NeoLoad for performance testing. UL Solutions collapsed a 40‑hour weekly testing window to just six hours, consolidating 178 manual scenarios into 40 automated flows. Emerson introduced a centralized object repository and reusable modules, turning a 40 % script‑maintenance burden into a lean, risk‑based testing regime that targets only code changes with business impact. By leveraging risk analytics, both firms eliminated full‑regression sweeps on untouched components, delivering faster feedback while maintaining compliance.
This shift has broader ramifications for the ERP market. Automated, risk‑focused testing converts QA from a cost center into a strategic capability, freeing senior engineers to drive innovation rather than chase regressions. Cross‑platform validation ensures that business processes spanning multiple applications are verified end‑to‑end, reducing integration defects. As Oracle environments grow in complexity, vendors and customers alike will likely prioritize similar automation stacks, making testing efficiency a competitive differentiator and a catalyst for accelerated digital transformation.
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