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Official Source· IBM AI Newsroom· Published Oct 7, 2026

Providence Says AI Cut Hiring Administration by 90% Without Replacing Core HR Systems

Providence Health worked with IBM Consulting to redesign hiring and internal-transfer workflows using AI and automation while retaining its core HR systems. IBM says administrative effort for hiring managers fell 90%, and internal caregivers began new roles an average of 12 days sooner.

Full Report

Providence Health worked with IBM Consulting to rethink how people move into new roles, using AI and automation to redesign hiring and internal-transfer workflows. IBM says the approach did not replace Providence’s core HR systems or add a standalone application. Hiring managers reduced administrative effort by 90%, while internal caregivers started new roles an average of 12 days sooner.

The announcement also reports a 60% reduction in transfer costs and process accuracy gains of up to 70%. The solution includes RITA, an AI-powered digital worker built on IBM watsonx Orchestrate. It connects with systems and data sources beyond Oracle and supports tasks such as requisition creation and approvals, internal transfers, job marketing, and hiring-status updates.

Why This Matters

The reported results put specific measures on AI’s use in hiring and internal mobility: administrative effort, time to start a new role, transfer costs, and process accuracy. Retaining existing core HR systems is also a concrete implementation detail for organizations considering similar workflow changes.

Evidence

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Primary Evidence

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  • OfficialIBM AI NewsroomDocumentOriginal

    Providence Health Collaborates with IBM Using AI to Reduce Hiring Admin Time Without Replacing a Single System

    IBM AI Newsroom

    “Providence worked with IBM (NYSE: IBM) Consulting to rethink how people move into new roles. With the help of AI and automation, hiring managers reduced administrative effort by 90%, while internal caregivers now start their new roles on average 12 days sooner. Providence also lowered transfer costs by 60% and improved process accuracy by up to 70%.”

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