How a Multi-Hospital Healthcare Network Restored Finance & Procurement Flow — Without Disrupting Its Oracle ERP

Overview

How a Multi-Hospital Healthcare Network Restored Finance & Procurement Flow — Without Disrupting Its Oracle ERP

A large healthcare network operating multiple hospitals and diagnostic centers was experiencing growing delays across finance and procurement operations. As patient volumes increased and regulatory oversight intensified, approval cycles slowed, manual follow-ups became routine, and visibility into requisitions and vendor commitments declined.

Although the organisation had already implemented Oracle ERP as its financial backbone, rigid approval workflows and disconnected tracking mechanisms were creating operational friction between procurement, finance, and clinical support teams.

Proso AI partnered with the healthcare network to restore operational flow by extending its existing ERP environment with intelligent workflow orchestration. The solution accelerated approvals, improved real-time visibility, and reduced manual effort — without modifying the ERP core or compromising future upgrades.

Requirements

Our Solution

  • Reduce finance and procurement approval delays without modifying Oracle ERP
  • Using Oracle Integration Cloud (OIC), Proso AI orchestrated procurement and finance workflows across ERP transactions, approvals, and notifications. This enabled greater flexibility in process design while keeping the ERP core untouched.

  • Improve visibility across requisitions, approvals, and vendor status
  • Custom role-based approval dashboards were developed using Oracle APEX, giving approvers real-time visibility into pending requisitions, priorities, and contextual information. This reduced decision delays caused by lack of clarity or manual coordination.

  • Eliminate spreadsheet-based tracking and manual follow-ups
  • Proso AI introduced automated alerts, reminders, and escalation logic across procurement and finance teams. Manual email follow-ups and spreadsheet tracking were eliminated, significantly reducing operational noise.

    Results:

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