Oracle has introduced a new AI-native builder experience that increases the pool of organizations that can\u00a0create and run agentic applications.\u00a0<\/p>\n
The announcement extends Oracle\u2019s push beyond embedded AI assistants and standalone agents toward outcome-driven applications that can coordinate tasks, trigger workflows, follow approvals, and execute actions within existing enterprise systems.\u00a0<\/p>\n
CX leaders must now consider whether AI can reliably support and execute business processes within existing operational environments.\u00a0<\/p>\n
Chris Leone, Executive Vice President, Applications Development at Oracle,\u00a0explained that\u00a0the new builder experience reflects a broader shift toward enterprise applications that can actively coordinate and execute outcomes.\u00a0<\/p>\n
\u201cEnterprise software is moving beyond systems that record work to systems that actively drive and execute outcomes,\u201d he said. \u00a0<\/p>\n
\u201cWith this new builder experience, customers and partners can build Fusion Agentic Applications that are backed by specialized agent teams and run natively inside Oracle Fusion Applications, where the business objects, workflows, security, approvals, and auditability already exist.\u201d<\/p>\n
CX Needs Operational Alignment<\/p>\n
Many organizations have moved quickly to adopt AI;\u00a0however, successful proofs of concept have not always translated into production-ready transformation. \u00a0<\/p>\n
While generative AI can improve content creation and customer interactions, many organizations still struggle to deploy AI consistently across day-to-day operations at enterprise scale, as many tools operate outside of customer work. \u00a0<\/p>\n
Quality\u00a0CX\u00a0depends on coordinated processes, meaning if\u00a0AI is disconnected from these systems, it may provide recommendations but cannot complete task\u00a0accurately or within business guidelines, creating fragmented automation.\u00a0<\/p>\n
Disconnected AI also raises governance concerns, so\u00a0as organizations move toward agentic AI, these safeguards become\u00a0more important\u00a0as expectations move toward the technology\u00a0executing work safely and transparently. \u00a0<\/p>\n
As a result, improving CX\u00a0depends less on deploying another AI interface and more on orchestrating workflows across enterprise systems, data, teams, and governance frameworks that ultimately determine customer outcomes.\u00a0<\/p>\n
Oracle\u2019s Fusion AI Play<\/p>\n