4 topics we’re looking forward to at Oracle AI World Tour next month

AI is no longer just embedded in enterprise software — it’s starting to run it. As Oracle doubles down on agentic automation across its cloud stack, testing teams are about to face an entirely new class of challenges.

This year’s Oracle AI World Tour in New York City highlights major advancements the company is bringing to market that are helping to reshape how enterprise applications behave, and how they’re tested. From embedded AI agents and evolving cloud infrastructure to modern data foundations and largescale workflow automation, these technologies introduce new layers of complexity, autonomy, and risk that quality teams must prepare for now.

The advent of agentic AI changes the role of quality entirely. When software begins acting autonomously, testing can no longer focus only on screens and scripts. It must validate decisions, data flows, permissions, and cross-system impact. The question is no longer “Does it work?” but “Can we trust it?”

Here are the top themes we’re thinking about heading into AI World Tour next month.

1. Agentic AI built directly into business applications

Embedded AI agents and the AI studio in Fusion Cloud Applications have been a major marker of progress for Oracle since the company announced them last year. With this change, Oracle signaled a new era in which applications help run workflows rather than simply supporting them.

Multiple sessions this year focus on both the company’s long-term AI vision and practical applications of these agents inside ERP, HCM, SCM, and CX applications.

Why we’re interested: You only need to follow today’s progress to understand tomorrow’s risks. Agents embedded throughout Oracle Applications means testing teams will face brand new and even more critical challenges. When agents trigger approvals, generate transactions, or modify records, validation must extend beyond UI flows. This could mean validating things like decision-making paths, data usage, and cross-system actions.

Webinar: Your QA job as you know it is changing. How can you adapt?

2. Oracle Cloud Infrastructure (OCI) as the foundation for agentic capabilities

Oracle is positioning OCI as the performance backbone for the agentic era, with sessions focused on highspeed computing, multicloud flexibility, and consistent infrastructure across regions.

This matters because AI features rely heavily on OCI’s underlying services — computing, networking, storage, and data access — to run smoothly and predictably. Even small changes to these layers can shape application behavior in ways testers need to anticipate.

Why we’re interested: Reliability in an agentic system depends on more than application logic, it depends on the entire cloud stack operating predictably. As AI workloads scale, test environments must stay stable, dependable, and production-like. Teams need automation that can handle distributed systems, shifting capacity, and API-driven architectures without breaking. Understanding how OCI is evolving paints a clearer picture of what validation will look like in the months ahead.

3. Modern data foundations that make AI easier to build and use

Oracle’s AI Data Platform and Autonomous AI Lakehouse are designed to bring all enterprise data — structured and unstructured — into a single environment built specifically for AI.

Sessions next month promise to showcase how teams can ingest, govern, enrich, and transform data, so AI models and agents work consistently across the business.

Why we’re interested: Agents are only as reliable as the data they consume. As companies introduce agentic AI into their workflows, unchecked data will emerge as the silent killer of innovation. While these new data systems will unify information and automate decisions, teams will need tools that guarantee the data feeding these models is decision-grade. Teams that understand how these new platforms change data flows can validate them and catch issues before agents ingest them.

Learn more: Four ways bad data sabotages AI initiatives

4. AI agents for workflow automation at enterprise scale

Oracle is placing heavy emphasis on AI agents that read documents, interpret data, interact with systems, and complete tasks end-to-end. Sessions will dig into how these agents are built, how they can be expanded, and how they automate real business workflows with limited human input. This step — from AI offering recommendations to AI actually taking action — has major implications for enterprise reliability.

Why we’re interested: Quality teams today are faced with unprecedented responsibility and must respond with unprecedented speed. Tricentis Tosca’s latest update, Agentic Test Automation, is that response. We’re meeting that speed head-on: Agentic Test Automation can autonomously create and run tests based on real risk and impact, helping teams keep up with fast-moving agentic workflows.

Learn more: Introducing the latest in Agentic Test Automation

Ultimately, we’re focused on how organizations plan to scale these systems safely, so our solutions can continue to help teams stay ahead.

See you in New York

Oracle AI World Tour will showcase how quickly enterprise applications are evolving, from systems that support decisions to systems that make them.

That shift creates enormous opportunity. It also raises new questions about trust, reliability, and control.

As organizations adopt agentic AI across Oracle applications, quality can’t remain reactive. It must evolve alongside the software itself, validating not just functionality, but the decisions, data, and cross-system actions that now drive the business.

We’ll be in New York to learn, to challenge assumptions, and to speak with teams preparing for this next phase of enterprise AI.

If you’re attending, we’d welcome the conversation.

Book a meeting at our booth