AI adoption across GCCs has moved from experimentation to execution - yet 72% of leaders still lack a structured way to measure ROI.
This new whitepaper, co-developed by ProHance and Zinnov, goes beyond theory to help leaders bridge the gap between AI ambition and measurable enterprise value. It offers a pragmatic framework to assess adoption depth, quantify impact, and embed AI as a repeatable business capability, not a one-off experiment.
Drawing on insights from 160+ GCC leaders and employees and 50+ hours of interviews across sectors like BFSI, Healthcare, Technology, and Retail, the paper helps answer a critical question:
How can GCCs move from pilots that prove potential to programs that deliver sustained value?
What You'll Find Inside:
- The AI ROI Framework: A 5-lens model covering maturity, baselines, adoption depth, cost of ownership, and value delivered.
- The Readiness Imperative: Why data, governance, and talent maturity determine the pace of ROI realization.
- Case Studies That Matter: Real examples of GCCs achieving 20–30% productivity gains and up to $18M in annual efficiency savings through structured adoption and visibility.
- Actionable Playbook for Leaders: How to measure ROI early, balance speed with governance, and scale AI responsibly.
Why Read This:
If you're driving AI transformation, this whitepaper will help you:
- ✅ Identify where your organization stands on the AI maturity curve
- ✅ Build a credible, measurable ROI model
- ✅ Understand how visibility and baselining, core to ProHance, enable scaling with confidence
📘 Get Your Free Copy
Learn how leading GCCs are redefining productivity, visibility, and ROI in the AI era.
