AI adoption is accelerating across India, but most enterprises still struggle to convert pilots into measurable business impact. While startups rush to label everything as “AI-powered,” decision-makers increasingly demand clarity, specificity, and return on investment.

In this episode of the ExitFund Podcast, Yugraj Dagur, Founder of Cleverr AI, breaks down what it really takes to build AI startups that enterprises adopt, trust, and scale with. Drawing from his experience building an AI co-pilot for D2C brands, Yugraj explains why most AI pilots fail, how ROI-driven positioning changes adoption, and why maturity, not novelty, defines winning AI companies.

The conversation explores how Cleverr AI helps brands move beyond dashboards by consolidating fragmented data into a single source of truth, enabling AI-driven decisions that directly save time, save revenue, or generate growth.

In this episode, we cover:

• How AI adoption is shifting from experimentation to ROI accountability

• Why most enterprise AI pilots fail to convert

• The difference between AI hype and AI that drives business outcomes

• Why specificity beats “AI for everything” positioning

• How design partnerships accelerate real product-market fit

• Why small, focused teams may outperform large organizations in AI adoption

Follow the ExitFund Podcast for more conversations on startups, AI, investing, and building durable businesses in emerging markets.