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SAP and Oracle's agentic ERP push is dragging the least glamorous enterprise software into the AI era

SAP and Oracle's agentic ERP push is dragging the least glamorous enterprise software into the AI era

SAP and Oracle's continued build-out of agentic AI capability directly into the core enterprise-resource-planning systems that run the back-office financial, supply-chain and human-resources operations of the world's largest companies represents one of the less publicly visible but potentially highest-stakes fronts in enterprise AI adoption, since ERP systems touch financial-reporting accuracy, regulatory compliance and supply-chain execution in ways that carry a fundamentally different risk profile than customer-facing chatbot or coding-assistant applications, where an AI error is embarrassing but rarely catastrophic in the way an AI-driven financial-reporting or supply-chain-execution error could be. The adoption pace for agentic ERP features has been noticeably more cautious than in customer-service or coding-assistant categories, reflecting both the higher stakes of ERP-system errors and the sheer organisational complexity of large enterprise ERP deployments, where even routine software updates historically require extensive testing and change-management processes well before any AI-specific capability is layered on top, and both SAP and Oracle have designed their agentic features with correspondingly conservative default guardrails and extensive human-approval checkpoints for any action with financial or compliance consequence. The competitive dynamic between SAP and Oracle in agentic ERP has increasingly become a proxy battle for the broader question of whether legacy enterprise-software incumbents can successfully retrofit genuinely useful AI capability into decades-old core systems architectures, or whether newer, AI-native ERP challengers building from a clean slate will eventually prove more capable of delivering agentic functionality without the architectural constraints legacy systems impose. For Indian enterprises, particularly the large conglomerates and manufacturing companies that form the core customer base for SAP's Indian operations specifically, agentic ERP features have generated significant interest for potential back-office efficiency gains, though the same caution around financial and compliance risk that has slowed adoption globally has been, if anything, more pronounced among Indian enterprise IT leaders given the additional layer of Indian regulatory and tax-compliance complexity that any AI-driven ERP action must correctly navigate. What to watch: whether any large enterprise discloses a significant agentic-ERP deployment with measurable back-office efficiency results, how the SAP-Oracle competitive dynamic in agentic ERP affects each company's core-system market share, and whether any AI-native ERP challenger gains meaningful traction against the two legacy incumbents.

Original source: CNBC