Why your finance data isn’t AI-ready and what to fix
June 18 @ 3:00 pm – 4:00 pm EDT
Event description
AI is driving faster insights and more automated finance operations, but many organizations lack the data foundation to support it. Disconnected systems, fragmented reporting, and complex integrations continue to create barriers, limiting AI’s effectiveness. As adoption accelerates, finance leaders must address these foundational gaps.
Join leaders from Grant Thornton’s Oracle Practice for a CPE-eligible webcast exploring how finance organizations can overcome today’s biggest data and reporting hurdles to become truly AI-ready. Learn how modern finance architecture can simplify processes, improve visibility, and better align ERP, EPM, and analytics environments. We’ll also introduce Grant Thornton’s Connected Ledger approach, powered by Oracle, designed to unify financial and operational data while enhancing reporting, reconciliation, and control.
Webcast details
Date and time
Thursday, June 18, 2026
3:00 PM ET – 4:00 PM ET
Recommended CPE credits
1
Learning objectives
- Identify the common finance data and architecture challenges that limit AI readiness across ERP, EPM, and reporting environments.
- Define how disconnected operational and financial data impacts reporting accuracy, reconciliations, and finance decision-making.
- Explain how a connected finance architecture powered by Oracle Fusion can support AI initiatives, automation, and enhanced controls.
- Evaluate strategies for simplifying finance data ecosystems while reducing dependence on bespoke integrations and reporting processes.
- Recognize the foundational data, governance, and reporting considerations finance leaders should prioritize to enable scalable AI adoption.
