‘Outcome-driven AI is the future’: Oracle exec on agentic rollout, India focus

US technology major Oracle on Tuesday introduced Fusion Agentic Applications, a new class of enterprise software designed to move businesses from process-heavy operations to outcome-driven execution, as the company doubles down on India as a key market for scaling enterprise AI adoption.

The applications embed coordinated teams of AI agents directly within Oracle Fusion Cloud Applications, allowing them to reason, make decisions, and execute tasks autonomously across functions such as finance, human resources, supply chain, and customer experience.
“As organisations move beyond pilots and begin operationalising AI across the enterprise, they need the ability to tailor AI to their unique workflows, expertise, and operational priorities,” said Chris Leone, executive vice president of Applications Development, Oracle. “With AI Agent Studio for Fusion Applications, we are helping customers and partners build the foundation for a more autonomous enterprise.”

Unlike AI copilots or add-ons, the new applications are native to the transactional system, enabling real-time execution with full governance by securely accessing enterprise data, workflows, approval hierarchies, and policies. Oracle said this architecture allows AI agents to autonomously handle routine actions while surfacing only exceptions and decisions that require human judgment.

For India, where enterprises are rapidly transitioning from AI pilots to scaled deployments, the company is positioning agentic applications as a way to eliminate operational inefficiencies and manual workloads. “We call them outcome-driven apps because they can reason, make decisions, and execute actions toward a pre-defined goal—such as reducing days’ sales outstanding or improving working capital,” said Rajan Krishnan, Group Vice President – Applications Development, Oracle. “For Indian enterprises, this means significantly reducing manual busy work across business processes and enabling teams to spend more time on strategic priorities.”

Krishnan said its Fusion Applications suite is already seeing strong adoption across Indian industries, including banking, healthcare, manufacturing, and retail, with customers deploying generative AI and automation across finance, procurement, HR, and sales functions. These deployments have resulted in faster decision-making, reduced manual intervention, and improved productivity, the company added.

He explains that the company will roll out 22 Fusion Agentic Applications in the upcoming update cycle, allowing customers to test them in non-production environments before moving to live deployments. These include use cases such as workforce scheduling and payroll optimisation, supplier sourcing, cross-sell revenue generation, and intelligent collections to improve cash flow.
All applications run on Oracle Cloud Infrastructure and are supported by Oracle AI Agent Studio, which enables enterprises to build, deploy, and manage AI agents and automation workflows without extensive coding.

Looking ahead, Oracle sees India playing a central role in its broader AI strategy, with growing demand for end-to-end automation across enterprise ecosystems rather than siloed use cases. “Agentic applications that are native to the core product deliver far greater value because they come with built-in governance, visibility, and process intelligence,” Krishnan said. “We are increasingly seeing conversations in India move beyond niche AI use cases to full ecosystem automation, which is driving strong growth in our SaaS business.”