SAP expands agentic AI tools for finance teams across FP&A, tax and treasury

SAP is rolling out agentic AI tools across financial planning, tax, treasury, and cash management, putting it in direct competition with Oracle and Workday. The suite includes over 50 AI assistants coordinating more than 200 specialized agents.

Categorized in: AI News Finance
Published on: May 13, 2026
SAP expands agentic AI tools for finance teams across FP&A, tax and treasury

SAP expands AI agents across finance operations

SAP announced Tuesday a broad rollout of agentic AI tools designed to automate workflows across financial planning, tax, treasury, and cash management. The move puts the enterprise software vendor in direct competition with Oracle and Workday, which have made similar announcements in recent months.

The new tools span most major finance departments. Previously, SAP's AI initiatives targeted specific parts of the finance function. David Imbert, SAP's head of finance product marketing, said the company is "announcing innovations for every major department in finance."

Scope of the rollout

SAP is introducing the tools as part of its "Autonomous Enterprise" initiative, which extends beyond finance to supply chain, procurement, human resources, and customer operations. The broader suite includes more than 50 domain-specific AI assistants that coordinate over 200 specialized agents to execute workflows.

Finance-specific assistants include:

  • Financial closing assistant - surfaces bottlenecks, automates postings and reconciliations, and resolves discrepancies in real time
  • Financial planning and billing assistants
  • Tax, governance, and compliance assistants
  • Accounts receivable, cash management, and treasury assistants

Some capabilities will launch in Q2, others in Q3. SAP also introduced Joule Studio, a development environment for building and managing AI agents within its business AI platform.

What CFOs need to address

Imbert acknowledged that CFO interest in agentic AI has accelerated over two years, but challenges remain. Data readiness, workflow integration, and workforce skills are blocking wider adoption.

"If people can establish a trusted central place for data that AI can then leverage off, that's very important," Imbert said. He added that AI cannot stay isolated from core operations - it must embed directly into business decision-making and daily processes, with baseline AI literacy across finance teams.

The shift is also expanding CFO responsibilities into enterprise system strategy, an area IT departments traditionally owned. "The CFO is starting to also really have a role and responsibility for those decisions," Imbert said.

For finance professionals looking to build skills in this area, understanding AI for Finance and AI Agents & Automation can help navigate these changes.


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