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Microsoft Copilot and Celonis cut 27 days off hiring at Uniper.

Uniper, a German energy company of roughly 7,000 people, has fed Celonis' Context Model into Microsoft Copilot Studio and put an HR agent inside Microsoft Teams, diginomica reported on Wednesday.

ERP LEADERS news desk · · First reported by diginomica.com · Edition no. 3
Photo: Coolcaesar/Wikimedia, CC BY-SA 4.0 · original

Uniper reported that average time-to-sign for candidates fell by 27 days, and the screening phase by 13 days.

In one example cited by diginomica, the agent identified 27 candidates who had been sitting on shortlists for more than 14 days.

Robert Daamen, Head of Process Intelligence at Uniper's Center of Excellence, gave the reason it worked at all: "AI as a standalone solution is quite limited." The model did not know the process. The process data did.

Daamen also said the existing Microsoft agreement covered the deployment with no extra negotiation and no extra cost.

Laurids Lanzendoerfer, Head of Talent Acquisition, said candidate contact and selection stayed with people: "We are not doing: no agent is talking to people, no agent is selecting people."

Read plainly, this is queue-ageing detection with a human deciding. The architecture question underneath it is which system stays the record and whether the agent may write back.

Can your agents see your process data, or only your documents?

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Companies in this story
MicrosoftCelonisUniper

Our file on Microsoft

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  3. 3 NovFiled later

    Microsoft calendars can be an hour off after a Canadian clock change. A fix for recurring meetings has no date yet.

  4. 2 NovFiled later

    Microsoft, Oracle and three peers cut buybacks 83% to $13.6bn. AI spending is eating their cash, a Reuters analysis found.

  5. 2 NovFiled later

    Microsoft's new reseller Copilot seats can add usage charges to the $21 monthly fee. The default cap is 4,000 credits per user.

All 70 Microsoft 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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