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202X Vision: Moving your AI- From PoC to Proof of Profit for a Faster Scale

Thu, 22 Jan

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LinkedIn Live

202X Vision: Moving your AI- From PoC to Proof of Profit for a Faster Scale
202X Vision: Moving your AI- From PoC to Proof of Profit for a Faster Scale

Time & Location

22 Jan 2026, 6:30 pm – 7:30 pm IST

LinkedIn Live

About the virtual session

The AI Scaling Reality: AI investment is moving beyond experimentation into adoption worldwide. Yet a stark gap exists between pilot success and profitable scale.


72% of enterprises run AI pilots showing topline (revenue) or bottomline (cost) potential. Only 10% successfully scale enterprise-wide. The MIT NANDA study found 95% never deliver ROI—with vendor partnerships succeeding at 67% vs 33% for internal builds, recommending "buy, not build" for most enterprises.


Contrasting ROI studies reveal the divide:

  • Optimistic view: SAP reports 16% current ROI → 31% expected; Microsoft shows 3.7x ROI for top performers

  • Pessimistic reality: McKinsey finds only 6% achieve 5%+ EBIT impact; IBM reports 5.9% average ROI


Both enterprises and vendors struggle post-pilot. Buyers increasingly demand production-scale proof before committing.


Meet the Host:

Vishwendra Verma

Founder and CEO, Growthsutra


Meet the Speakers:

  1. Gayathri Devi Jayan

    Founder at AIDVICE & Chapter President at Applied AI Association

  2. Pravin Savant 

    Independent Advisor- Global – Board Governance & Technology Advisory


Burning Questions We'll Address

- "How do I prove product-market fit when enterprise buyers want production proof?"

- "Pilots generate leads but zero pipeline velocity. How do we convert demos to ARR?"

- "How should I price AI products when pilots work but procurement demands scale proof?"

- "How do we justify $2M AI spend when CFO demands P&L impact next quarter?"

- "95% AI failure rate scares me. What proof beyond pilots should I demand?"


​What This Session Covers - Focus areas:

- Moving from AI demos and pilots to production systems with clear ROI

- What changes in governance, GTM, and delivery when AI becomes revenue-critical

- Practical patterns to de-risk and scale AI across functions


Who Should Attend:

AI-First Product Companies Founder, Product leaders, revenue leaders, CTOs, enterprise buyers.


Details:

Learn more about GROWTHSUTRA here.

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