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SAP says its tool cuts building an AI agent to about 2.5 hours from 13. Consultants' project estimates rest on those hours.

SAP gave the figure in its developer keynote at TechEd in Berlin, TechTimes reported.

ERP LEADERS news desk · · First reported by TechTimes · Edition no. 54
Photo: Saturnalia0/Wikimedia, CC0 · original

Moving "from intent to a working agent takes roughly 2.5 hours instead of 13," SAP said, and its own testing showed 50% lower cost per task. No customer was named for the result.

On most platforms, TechTimes wrote, a developer still has to tell an agent what to do, map it to the right data tables and test the odd cases in the ERP system underneath.

Meanwhile, pay has risen in the jobs most exposed to AI. Pay in those jobs grew around 46% since 2021, against 25% in the least-exposed, according to the Dice Tech Sentiment report cited by the IT news site CIO.com.

For an SAP consultant, an estimate in days becomes the quote for a project or a change request. Our reading: if a 13-hour build really takes 2.5 hours, clients will ask why the estimate did not shrink. The paid part of the job moves towards choosing which process deserves an agent and checking what it does once it runs.

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Companies in this story

Our file on SAP

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    SAP says more than 18,000 people work for it in India, its second-largest location. Teams there help build Joule, SAP's AI assistant.

  2. 2 NovFiled later

    Erasmus University's move from SAP to Oracle is 70% over budget, at €20.2m. A one-year delay cost €4.5m of that.

  3. 1 NovFiled later

    SAP introduced a tool flagging AI agents that may be high-risk in the EU. EU fines for breaches reach 3% of turnover.

  4. 1 NovFiled later

    SAP paid about €518 million for AI start-up Prior Labs. Last quarter it added less than €1 million to SAP's sales.

  5. 1 NovFiled later

    Microsoft said Foundry will get the tool GitHub uses to run AI agents. SAP may cut off agents skipping its approved routes.

All 90 SAP stories

For your next steering committee

Questions for your own programme. They are not findings about any company in this story.

  1. 1Ask which AI tools already touch your ERP or finance data, including the ones nobody approved.
  2. 2Ask what each tool is allowed to change, and who reviews what it changed.
  3. 3Ask how the result is measured, and who decides to switch a tool off.

Issue 01 of the ERP LEADERS brief puts a timeline, the three-number review and six questions on one page. Read issue 01

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