Oracle’s AI momentum and why quality assurance matters more than ever

After attending Oracle AI World, one thing is clear: Oracle is all in on AI. From embedded agents across Fusion Applications to the AI-native Oracle Database and OCI’s massive model-training capabilities, Oracle is positioning itself as the platform where enterprise AI comes to life.

The energy was infectious. Every session, demo, and conversation carried a sense of acceleration: faster decisions, faster workflows, faster innovation. But beneath the excitement, one question kept coming up in my mind (and in quiet side conversations with customers and prospects): How do we move fast with AI without breaking what’s already working?

That’s where Tricentis comes in. (Learn how in our webinar: Future-proof your Oracle automation.)

Ensuring confidence in Oracle’s AI-powered world

As Oracle weaves AI deeper into its ecosystem, the complexity of change multiplies. New agents, new data pipelines, and new user experiences mean constant updates and constant risk: of broken processes, data discrepancies, or even downtime of a business-critical system. Tricentis helps Oracle customers manage that risk by delivering AI-powered, end-to-end test automation that ensures updates don’t negatively impact existing workflows or integrations.

With Tricentis Tosca, Oracle customers can automate regression and functional testing across Oracle Cloud, E-Business Suite, and hybrid environments — all without writing a single line of code. This allows teams to deploy updates more quickly and reliably, giving you confidence that systems will continue to run smoothly as the technology evolves.

Data integrity: the foundation for trustworthy AI

At AI World, Oracle unveiled its next big leap: Oracle AI Database 26ai, a data platform built with AI at its core. It’s designed to help enterprises run AI directly where their data lives, combining relational, JSON, and vector data in one system while strengthening security, governance, and performance across cloud and on-prem environments. The company calls this “bringing AI to your data.”

That’s a powerful idea, but it raises the stakes for data quality. When AI agents, vector searches, and analytics pipelines are feeding off of live enterprise data, any gap in data quality becomes a multiplier of risk. If data is incomplete, stale, incorrectly formatted, or otherwise compromised, AI will amplify the error, not correct it. If AI insights are only as good as the data behind them, then data integrity is mission critical.

Tricentis Data Integrity ensures the data flowing through Oracle Cloud Applications, analytics tools, and AI models remains accurate and complete, so teams can introduce new technology without risking expensive and time-consuming errors. Data Integrity validates data end-to-end, from source systems to dashboards, to help organizations build trust in the intelligence that drives their decisions.

Modernization without disruption

AI adoption and modernization often happen together. Many Oracle customers are in the middle of major transitions: moving from on-premises to cloud, integrating third-party systems, or replatforming key business processes.

Tricentis helps these teams modernize without the disruption caused by inadequate testing processes, which can include everything from system outages and broken workflows to delayed releases and frustrated users. Our platform provides unified test automation across EBS, ERP, HCM, SCM, CRM, and custom applications so teams can confidently deploy updates, migrations, and new AI capabilities while ensuring business continuity.

We call that innovation with assurance.

Ready for what’s next: Redwood, OCI, and beyond

Oracle’s new Redwood UX and its OCI-powered AI infrastructure set the stage for the next wave of enterprise applications. But innovation requires additional testing. Tricentis is already there with test automation that’s Redwood-ready, optimized for OCI, and built to handle continuous change in AI-driven environments.

Whether it’s validating Oracle’s embedded AI agents, testing AI-augmented workflows, or verifying performance at scale, Tricentis gives Oracle customers the assurance they need to keep pace with the future.

The bottom line

Oracle’s push into AI is gaining real traction, but the organizations that will benefit most are those that treat quality as a strategic advantage. Tricentis helps Oracle customers turn bold AI initiatives into reliable business outcomes, ensuring every innovation is tested, trusted, and ready for the real world.

Because in the age of AI, quality assurance isn’t just a checkpoint, it’s the enabler of progress.