Stock Markets March 24, 2026

Oracle refashions Fusion finance and procurement apps to run with AI agents

Company updates cloud business software so users can ask natural business questions while AI locates and assembles the necessary data

By Jordan Park ORCL
Oracle refashions Fusion finance and procurement apps to run with AI agents
ORCL

Oracle is reworking its cloud-based Fusion suite to support AI agents that can gather data and perform execution tasks so human workers can concentrate on decision-making. The changes, announced at a London event, reflect a wider industry push to adapt specialized corporate applications for agent-driven workflows. Oracle's stock has fallen about 40% this year amid investor worries that AI could replace complex business software, a concern the company says it is addressing by integrating AI capabilities into its products.

Key Points

  • Oracle is upgrading its cloud-based Fusion suite to work with AI agents that can find data and perform execution tasks.
  • The Fusion suite supports core business functions such as factory production planning and customer collections, meaning manufacturing and finance teams are directly affected.
  • Oracle faces investor pressure after its stock fell about 40% this year amid concerns that AI could replace complex business software.

Oracle is updating its cloud-based business software used by large enterprises so it can interact with artificial intelligence agents that carry out data-gathering and execution tasks on behalf of human users.

The company is making the changes to its Fusion suite, which handles core corporate functions including production planning in factories and customer collections, and planned the announcement at an event in London on Tuesday local time. The move is part of a broader shift among providers of specialized corporate software to refactor their products so they can be used by AI agents that perform tasks for human users.

Oracle's shares have fallen approximately 40% this year as investors express concern that AI tools could largely supplant complex business software. Company executives maintain that Oracle is incorporating AI tools into its offerings to keep the software competitive with those changes.

Steve Miranda, executive vice president of applications development at Oracle, described the company’s objective as simplifying how companies address business questions - for example, determining ways to make a new product design less expensive and faster to manufacture - while reducing the risk of supply chain disruption. Miranda said the data required to answer such questions is dispersed among Oracle's own applications and connected third-party systems.

According to Miranda, AI will assume tasks like data entry, aggregation and recommendation generation. Human employees will shift emphasis toward higher-value responsibilities such as negotiating with suppliers and deciding an appropriate risk tolerance for potential supply interruptions. Miranda said, "Typing in an invoice isn’t a particularly high-value skill to your enterprise or to the person you know who does that part of their job."

He added that while execution tasks - "the typing of the invoices, the typing of the purchase order" - are likely to be replaced entirely by AI, ultimate decision-making remains with humans: "Decision making is still kind of up to that human and weighing the different pros and cons of that case."


This update to Fusion is presented as an effort to enable business users to pose questions in natural language and let AI figure out how to find and assemble the underlying data spread across systems. The company frames the transition as preserving human oversight over decisions while automating lower-value operational work.

The announcement underscores tensions in enterprise software markets as vendors adapt to AI-driven workflows and as investors weigh the implications for established software business models.

Risks

  • Investor concerns that AI tools could largely supplant complex business software - impacts enterprise software vendors and equity markets.
  • Data required for business decisions is scattered across multiple applications and third-party systems, creating integration and implementation challenges for IT teams.
  • Automation of transactional tasks may displace finance and procurement roles focused on data entry and order processing, altering labor needs in those functions.

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