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Finance is entering a new phase, where intelligence, speed, and adaptability are key to success. Traditional processes, such as financial close, often remain fragmented despite automation, but the entire scenario is changing now.
In the latest episode of the Analytics Insight podcast, host Priya Dialani speaks with Madhukar Uniyal, Country Head, Solution Engineering, Cloud Applications at Oracle India, to explore how agentic AI is transforming financial operations.
From enabling real-time decision-making to shifting CFO roles toward strategy, the discussion highlights how Oracle is helping organizations build smarter, more resilient finance functions.
Madhukar leads Oracle India's Solution Engineering for cloud applications, bridging technology solutions with customer needs. His team includes experts in finance, customer experience, and human capital management, working with top brands and startups nationwide.
Oracle, data-first in approach, emphasizes helping organizations see data in new ways and unlock strategic insights. In India, Oracle has operated for 32 years with cloud regions in Mumbai and Hyderabad, nine product development centers, and one of the world’s largest R&D hubs.
Agentic AI operates like an autonomous vehicle, independently planning and executing financial close tasks. Unlike passive automation, it adapts in real-time, collaborates with humans and other AI systems, and provides actionable insights. Oracle Fusion Cloud ERP and EPM applications exemplify their effectiveness, enabling rapid financial close cycles for S&P 500 companies.
Effective implementation requires a strong digital foundation. Madhukar cited Magma HDI’s transition from fragmented systems to Oracle Fusion Cloud ERP, highlighting an API-driven architecture that allows seamless AI integration, improved compliance, and reduced need for customizations.
Adopting AI safely demands transparency. Oracle emphasizes maker-checker systems, human oversight, and clear reasoning behind AI decisions, ensuring finance teams trust and rely on agentic AI for critical operations.
Agentic AI shifts CFO and controller roles from operational tasks to strategic orchestration. Real-time insights, predictive analytics, and scenario modeling empower leaders to make decisions instantly, enhancing agility, compliance, and growth enablement.
The future finance function will be real-time, self-healing, and collaborative. By integrating AI with human expertise, organizations can automate manual tasks, enhance foresight, and establish financial operations that are efficient, predictive, and aligned with their business strategy. Early adoption positions companies for smarter, faster, and more resilient finance operations.
