In this episode of Not Just AI, host Pranay Agrawal (Fractal) is joined by Alyson Clarke (Forrester) and Deep Srivastav (Franklin Templeton) to unpack the gap between AI experimentation and true enterprise impact.

Alyson shares why many firms are repeating the mistakes of digital transformation by digitizing existing processes instead of fundamentally rethinking how decisions are made, how value is created, and how business models evolve. She outlines what real AI transformation looks like, from shifting to decision-centric workflows to embedding AI into the core of the business.

Deep brings a practitioner’s perspective, reflecting on Franklin Templeton’s journey from hundreds of AI use cases to a focused set of transformation programs. He discusses the organizational challenges, the loss of short-term momentum, and the difficulty of committing to outcomes that cannot be fully defined upfront.

The discussion also explores how firms should rethink success metrics, moving beyond cost reduction and productivity toward customer value, growth, and long-term competitive advantage.

They examine the role of data foundations, governance, and culture in enabling AI at scale, and debate whether the next wave of innovation will come from AI-native fintechs or incumbents that successfully unlock the intelligence within their own systems.

This episode is a must-listen for leaders looking to move beyond proofs of concept and build AI-driven businesses that create durable value.