Oracle sees rising demand for AI agents in utilities and public sector

Within utilities, interest in AI is increasing across power and energy sectors. 

There’s a growing demand for AI agents in the utilities industry and the public sector across Asia Pacific, said Sunil Wahi, Vice President of Solutions Engineering, Applications, at Oracle Asia-Pacific. 

“We have a lot of interest coming in from different departments in the public sector across the region to explore various use cases, as well as from industries like utilities, particularly in the power and water segments,” Wahi told Asian Business Review on the sidelines of Oracle AI World in Las Vegas. 

Healthcare is also becoming an area of growing interest, he added. In this sector, Oracle offers a range of AI-enabled solutions which automates and connects data and workflows across the healthcare ecosystem. 

AI agents have proven beneficial across different business functions, Wahi said. 

“Pretty much all operations — right from the back office to the middle office to the front office — are benefiting from agentic workflows and AI being embedded within Oracle Fusion Cloud Applications,” he explained. 

In finance, Oracle can now deliver a touchless finance experience for executives and business users, he said. The technology automates core financial processes, reducing errors and driving productivity. 

Demand for AI agents also remains strong in financial services, particularly around fraud detection and risk management. 

Beyond finance, Oracle has expanded its generative and agentic AI capabilities across other business areas, including supply chain and human resources (HR). 

In HR, Wahi said there has been significant innovation through agentic workflows such as the Benefits Advisor, which helps employees quickly access insights about their benefits and privileges without having to review multiple documents. 

Within the supply chain, Oracle has introduced Maintenance Advisor agents, which assist field technicians in real time to diagnose repair issues using image recognition and AI-driven guidance. 

“It’s a human-and-agent interaction that makes the entire process more powerful,” Wahi said.