Unlocking AI’s Full Potential in GCCs: From Ambition to Measurable ROI
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“AI won’t replace humans. But humans who use AI will replace those who don’t.” – Garry Kasparov
In 1997, Garry Kasparov’s loss to IBM’s Deep Blue signaled that artificial intelligence was no longer a futuristic concept – it was here. Fast forward to 2025, and we are experiencing another watershed moment. AI is everywhere: from copilots that write code to tools that automate business processes.
And yet, just like in the early days of RPA, many GCCs are struggling to turn AI ambition into real outcomes.
The Paradox of AI Adoption
At the recent 3AI GCC Event in Hyderabad, one statistic stood out:
- 70% of GCCs have launched GenAI pilots
- Only 5% have scaled them
This gap isn’t about technology – it’s about adoption, visibility, and measurable ROI.
Many leaders confessed that while their teams have access to powerful AI tools, they lack answers to fundamental questions:
- How many employees are actively using these tools?
- Which teams are seeing real productivity gains?
- Where are the friction points slowing adoption?
- How do we prove ROI to the business?
Without these answers, AI risks repeating the same mistakes we saw with RPA—initial excitement followed by stalled value delivery.
Learning from RPA: The Pitfalls to Avoid
A decade ago, RPA taught us an important lesson: technology alone doesn’t deliver transformation. Many RPA initiatives failed because adoption wasn’t measured, usage wasn’t understood, and behavior change was an afterthought.
With AI, we have the chance to avoid those mistakes—but only if we focus on three pillars:
- Visibility – Track usage, identify champions and resistors, and understand adoption maturity across teams.
- Engagement – Use real-time behavioral insights to drive change management and close the gap between intent and action.
- ROI – Build a clear, data-backed framework to quantify productivity shifts and prove business impact.
This is exactly where ProHance comes in.
The ProHance Framework for AI Success
AI success leaves signals—you just need the right platform to capture them. ProHance helps GCCs build a structured, measurable path to scale AI:
1. Baseline: Where Are We Today?
- Track time spent on AI tools
- Measure usage patterns by team, role, and maturity level
- Identify early adopters and potential resistors
2. Drive Adoption Through Behavior Change
- Spot resistance early using disengagement signals
- Deliver personalized nudges to reinforce usage
- Replicate successful adoption patterns across teams
3. Embed Change Management
With ProHance’s AI Adoption Index, identify adoption trends across user maturity levels, and users who are embracing and rejecting change.
4. Quantify ROI and Scale
- Correlate AI usage with productivity shifts
- Attribute measurable impact at user, team, and location level
- Create a repeatable framework for continuous improvement
Get deep insights into productivity gains at a user, team, location-level. Replicate best practices.
With this approach, AI stops being a “black box experiment” and becomes a measurable driver of business value.
Real-World Impact
Our data shows that GCCs that operationalize AI with visibility and behavior-led adoption frameworks achieve:
- 10–16% uplift in productivity from GenAI adoption
- Clearer change management pathways for large teams
- Faster scaling of successful AI use cases
And perhaps most importantly—they avoid the costly “pilot trap” that many organizations are still stuck in.
The Bottom Line
The GCCs that will win in the AI era aren’t the ones that deploy AI first – they’re the ones that adopt it right.
With ProHance, you get the visibility, engagement, and ROI framework to make AI measurable, scalable, and sustainable.
Let’s lead the future—together.
Are you ready to turn AI ambition into real outcomes?
Learn how ProHance can help
Salik Faraz
Marketing specialist with more than 4 years of work experience in Digital Marketing focusing on Lead Generation and Brand building within the SaaS, Fintech, and Ecommerce sectors. He is skilled in utilizing analytics and marketing tools to optimize Brand Awareness.
