On June 25, 2025, Gideon Taylor hosted a timely and insightful roundtable webinar titled “What to Know About Oracle’s Plans to Drop AI for PeopleSoft.” Moderated by Brad Rutledge, the session featured industry experts Paul Taylor (CEO of Gideon Taylor) and Andrew Bediz (Practice Head for AI / UX), who broke down Oracle’s surprise announcement and explored its implications for organizations using PeopleSoft across Higher Ed, Public Sector, and Commercial industries.
This highly relevant webinar comes on the heels of Oracle’s declaration at Blueprint 4D to cease further development of its AI features for PeopleSoft and deprecate its AI product, PICASO. For IT and business leaders relying on PeopleSoft, this raises critical questions: What does this mean for the future of AI for PeopleSoft? What are your options now?
In just 30 minutes, the panelists delivered clarity, strategy, and confidence for navigating what comes next. Below, we recap the biggest takeaways for enterprise software users.
Key Takeaways from the Webinar
Oracle’s PICASO and AI Plans for PeopleSoft Are Ending, But It’s Not a Crisis
Oracle announced it will no longer invest in AI for PeopleSoft and is deprecating its conversational AI tool, PICASO, which was built on Oracle Digital Assistant (ODA). While the news initially raised concern, the panel quickly dispelled the idea that this is a disruptive change. “PICASO was never widely adopted. It had only seven out-of-the-box skills,” explained Paul Taylor. “It wasn’t a game-changer, and it didn’t deliver the broad capabilities users expect when they see a chat bubble.” Andrew Bediz added context: “This isn’t Oracle pulling the plug on deeply integrated AI features…PICASO was more of a dabble.” The announcement also included Oracle’s intent to publish a technical “red paper” to guide customers on building their own AI integrations for PeopleSoft, signaling a shift to a partner or DIY model.Yes, You Can Still Use AI for PeopleSoft…and You Should
Despite Oracle stepping back, AI for PeopleSoft is very much alive. In fact, the panel emphasized that organizations can and should continue exploring AI to drive process efficiency, user support, and data insights. “The real takeaway is that AI is how we’re going to do business moving forward,” said Paul Taylor. “Whether you’re doing it yourself or with a partner, a long-term commitment is required.” Andrew reinforced the benefits of continuing the AI journey: “If you’re using PeopleSoft, you don’t have to wait. All the tools you need are already available through Oracle Cloud: vision, translation, generative AI, even models like Grok and GPT.” The panel made it clear: The opportunity to enhance PeopleSoft with AI is still on the table, just not directly inside a PeopleTools update.DIY vs. Partnered Approaches: Choose Based on Your Resources
With Oracle no longer providing delivered AI features, organizations now face two paths: build their own AI capabilities or partner with experts. For the DIY route, Andrew explained, “If you’ve moved PeopleSoft to Oracle Cloud, that gives you huge advantages. All the AI tools are in the same data center, which improves data security and integration. But you’ll need skilled teams, regular releases, and a nimble strategy to succeed.” Partnering offers an alternative. Paul noted that organizations should seek AI vendors familiar with PeopleSoft’s architecture: “Look for someone who understands the Oracle ecosystem. A generic AI solution might work, but it’s a longer journey. Partners like us can accelerate success and offer native integrations.” Gideon Taylor’s AI solutions (like Ida) are already helping clients integrate AI without relying on the deprecated PICASO product.Real-World Use Cases Are Thriving
Despite the shift in Oracle’s roadmap, organizations are actively deploying AI for PeopleSoft with strong results. Common use cases include:- User Support Bots: Offering 24/7 help for students, faculty, employees, or applicants going beyond FAQs to act as AI agents, executing transactions and retrieving real-time data.
- Higher Ed Advising: Recommending courses based on schedules, past credits, and availability.
- Conversational Application Support: Guiding users while they fill out forms or navigate complex onboarding processes.
- Learning Support: Providing AI-driven tutoring and answering questions mid-training.