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Operating Model Transformation with AI Automation | Case Study

operating model transformation

Introduction

Global operating model transformation enables enterprises to standardize processes, improve governance, and reduce operational costs across complex, multi-region environments. Organizations operating in regulated industries often face fragmented processes, inconsistent compliance practices, and high run-the-business (RTB) costs. This case study highlights how a global enterprise transformed its IT and operations landscape by implementing a standardized, automation-led operating model. By combining AI-driven automation, process rationalization, and strong governance frameworks, the organization achieved scalable efficiency, compliance excellence, and financial optimization.

Customer

A global enterprise operating across multiple regions with a complex IT and operations landscape and strict regulatory and compliance requirements.

Business Objective

  • Transform global operating model across IT and operations
  • Standardize processes across portfolios and geographies
  • Improve operational efficiency and governance
  • Reduce RTB costs at scale
  • Strengthen audit and compliance posture

Scope of Services

  • Global IT and operations delivery transformation
  • Process standardization and SOP rationalization
  • Setup of Automation Center of Excellence (CoE)
  • Implementation of AI-driven operational automation
  • Risk, audit, and compliance governance frameworks
  • Global delivery hub and proximity support enablement

Benefits

  • Enterprise-wide standardized processes
  • Strong and consistent compliance posture
  • Improved agility and faster transformation cycles
  • Predictable and scalable operating model
  • Reduced dependency on external vendors

Impact

  • Reduction from 395 SOPs to 25 standardized processes
  • 100% green audit compliance sustained over multiple years
  • Zero upfront financial commitment for transformation
  • Multi-market automation rollout across regions
  • Improved operational consistency and governance
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