Bridging the Gap: AI Hype to AI-Enabled Transformation

At the recent ANSR Leadership Forum, executives pointed to a major challenge: while there is increasing investment in AI, its impact on business is still limited. The problem isn’t access to AI, but organizational readiness. Many companies are still integrating AI into legacy workflows, rather than reengineering processes for an AI-first future.

Global Capability Centers (GCCs) have been identified as key change agents, but few are driving an AI strategy, presenting a huge opportunity for them to evolve from execution hubs to top enablers. Top challenges include measurement issues, siloed expertise and lack of governance. Ultimately, success depends on linking AI initiatives to tangible business outcomes, such as improved decision-making, enhanced customer experience and increased operational efficiency.

This ALF featured valuable insights from:

• Ashish Grover (Co-Founder, Navera Ventures | Ex-CIO/CTO, Falabella Group)
• Saurabh Gupta (President, Research & Advisory, HFS Research)

Key Takeaways

• AI transformation is a design and leadership challenge, not just a technology one
• Most organizations remain stuck between pilot mode and enterprise-scale impact
• GCCs have a pivotal opportunity to lead AI strategy and drive transformation
• Redesigning workflows is more impactful than automating existing inefficiencies
• Measurement frameworks are critical to proving and scaling AI value
• Talent and organizational context are emerging as key differentiators in AI success

The forum underscored a clear message: enterprise advantage will come not from experimentation, but from the ability to scale AI with purpose, structure, and measurable outcomes.