Escaping the PoC Trap : Why So Much Industrial AI Never Reaches Scale

https://www.youtube.com/watch?v=YRFksldFhLQ

Episode of CXO Strategy Exchange with Dilraj Singh Gandhi, Chief Digital Officer at TAFE, and Swapnil Bhatnagar, Partner Avasant

In this edition of CXO Strategy Exchange, Dilraj Singh Gandhi joins Swapnil Bhatnagar for a deeply grounded conversation on what digital transformation in manufacturing really demands when the ambition is not incremental improvement, but structural change.

At the center of the discussion is a larger national challenge: how India can raise manufacturing’s contribution to GDP from 17% to 25%, and what role technology, leadership, and operating discipline must play in making that shift possible.

Key Themes from the Conversation

Redefining the Chief Digital Officer

The modern Chief Digital Officer is no longer just a custodian of systems or infrastructure. As Dilra explains, the role has evolved into one that must connect business priorities with technology execution, moving beyond technical service levels to focus on customer outcomes, process transformation, and measurable business value.

Change Management as the Real Challenge

A central insight from the episode is that change management remains the hardest part of transformation, even though it is rarely funded or treated with the seriousness it deserves. Real change cannot be mandated from the top. It has to be built through field understanding, empathy for users, and early proof with small groups before it can scale across the enterprise.

Putting the Customer at the Center

The conversation challenges the traditional linear flow of information across manufacturing organizations. Instead of customer feedback moving slowly across functions, Dilraj argues for a more connected model where the customer sits at the center and informs R&D, procurement, quality, and manufacturing in parallel. That shift is not just structural. It changes how organizations think, decide, and operate.

Building Resilience in a VUCA Environment

In a manufacturing environment shaped by volatility, uncertainty, complexity, and ambiguity, supply chain resilience becomes a strategic priority. The episode explores how technology and AI can support scenario planning, improve visibility into external variables, and help leaders make better decisions in moments of disruption.

Escaping the PoC Trap

One of the most important parts of the discussion focuses on the enterprise AI journey and why so many organizations get stuck in experimentation. Dilraj makes the case that AI must begin with a clear problem, strong technical understanding, and the right operational data. It cannot sit as a superficial layer. It has to be embedded into real workflows where value can actually be created.

The Cost of Data Leakages

Another sharp theme in the episode is the danger of manual data gaps across the shop floor. When observations remain trapped in diaries, cards, or informal processes, organizations lose the visibility needed to train systems, improve decisions, and scale transformation. The point is clear: without disciplined data capture, digital ambition breaks down quickly.

Choosing the Right Transformation Partners

Dilraj also offers an unusually honest perspective on partner selection. Instead of looking only for polished success stories, he values partners who can speak clearly about where things failed, what they learned, and how they stayed invested in solving the problem. In transformation environments, credibility often comes less from perfection and more from commitment.

What This Episode Ultimately Explores

At its core, this episode is about what it really takes to modernize manufacturing in India. Not just through technology deployment, but through leadership that can break silos, redesign operating models, build trust on the ground, and create the data foundations required for long-term competitiveness.

It offers a practical and highly relevant view into why the future of manufacturing will be shaped not by isolated pilots, but by integrated transformation built around the customer, the workflow, and the discipline to execute.