OAG

Case Scenario

1. Regional Health System

Challenge

  • 850+ active vendors across clinical, IT, and facilities categories
  • No standardized category taxonomy
  • RFP cycle times averaging 8–10 weeks
  • Limited visibility into sourcing opportunities

Our Approach

  • Conducted a Strategic Procurement Optimization Assessment
  • Built a vendor landscape and category taxonomy
  • Identified high-fragmentation categories for rationalization

Results

  • Reduced active vendors by 38% within first year
  • RFP cycle time reduced to 3–4 weeks
  • Modeled $4.7M in sourcing opportunity

2. Multi-Hospital Provider Network

Challenge

  • Disparate procurement practices across hospital sites
  • Contract governance inconsistent
  • No centralized RFP answer library

Our Approach

  • Implemented Procurement Copilot Services
  • Deployed AI-enhanced RFP drafting and category playbooks
  • Introduced executive procurement reporting

Results

  • 60% improvement in RFP turnaround
  • Playbook enforcement across all sites
  • Procurement performance metrics adopted at executive level

3. Specialty Care Provider Group

Challenge

  • Vendor sprawl in professional services and IT categories
  • Legal review cycles delaying contracting
  • No sourcing intelligence continuity

Our Approach

  • Vendor rationalization roadmap
  • Contract first-draft automation
  • Category-driven sourcing workflows

Results

  • Consolidated vendors by 42%
  • Contract cycle time cut in half
  • Sustained sourcing discipline across all new engagements

4. Provider Group (Revenue Cycle Management Optimization)

Challenge

  • 14+ outsourced RCM vendors supporting billing, coding, and collections
  • Inconsistent SLAs and performance tracking
  • Rising vendor costs without measurable improvement in net collections
  • Limited visibility into true yield performance across vendors

Our Approach

  • 14+ outsourced RCM vendors supporting billing, coding, and collections
  • Inconsistent SLAs and performance tracking
  • Rising vendor costs without measurable improvement in net collections
  • Limited visibility into true yield performance across vendors

Results

  • Reduced RCM vendor count by 50%
  • Improved net collection yield by 9.3% within 6 months
  • Decreased outsourced RCM spend by 22%
  • Implemented standardized SLAs tied to reimbursement performance
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