Oracle quarterly releases bring continuous changes across HCM, Finance, and Supply Chain—from UI updates and configuration changes to new features and backend behavior. For most enterprises, the challenge isn’t just testing faster, but deciding what actually needs to be tested within tight release windows.
Many teams still rely heavily on manual regression cycles or attempt to automate everything, both of which introduce risk. Manual testing does not scale with frequent releases, while excessive automation often results in unstable tests, noisy failures, and false confidence.
In this webinar, we’ll present a practical, risk-based approach to Oracle release testing, combining manual validation, targeted automation, and intelligent analysis to help teams stay release-ready without increasing effort or headcount.
What we’ll cover:
- How Oracle release changes typically impact core business processes, approvals, integrations, and compliance-critical flows
- How to define a release-critical test scope that focuses on what truly affects business continuity
- Where manual testing is still essential, and where automation delivers the highest return
- How intelligent testing techniques help teams:
- Identify impacted areas from each release
- Reduce redundant testing
- Improve failure analysis and decision-making
- How ERP teams can move away from last-minute validation toward a repeatable and predictable release process
- How AI can support QA and ERP teams by improving visibility, prioritization, and confidence—without replacing domain expertise
This session is designed for Oracle leaders, ERP program managers, QA heads, and IT teams who want to reduce production issues, improve release confidence, and adopt a smarter, more sustainable approach to enterprise testing.
