"If your data is not on a firm ground, artificial intelligence will fail because your systems aren't architected for change."

Everyone is racing to deploy Generative AI in the supply chain, but most organizations are building on a foundation of sand. In this episode of the 202X Vision Series, we strip away the marketing hype to address the structural realities of modern procurement.

Host Vishwendra Verma, Founder - GrowthSutra, welcomes top-tier industry executives Shiva (former Circle CEO at Indus Towers) and DK (former CEO at Birlasoft) to dissect why procurement failures consistently start at demand origination and specification—long before a supplier enters the picture. Together, they outline a definitive roadmap for transforming procurement from an under-invested administrative cost center into a strategic profit driver.

Key Takeaways:

1. Fix the First Mile: Why procurement under pressure always triggers a domino effect of operational failures.

2. The 10 Vital Masters: The absolute data prerequisites for any autonomous AI agent or tool.

3. The 5-Point Checkpoint: Navish closes out the session with five non-negotiable metrics to measure time-to-production rather than time-to-pilot.

Don't let your AI initiatives end up in the graveyard of unfinished digital transformations.

📈 For more strategic B2B playbooks and executive insights, visit our official website: growthsutra.pro.

• 00:00 - Introduction & The 3 Realities of AI in B2B Spend

• 02:35 - Meet the Experts: Shiva & DK

• 03:36 - Real-World Procurement Failures That Cost Millions

• 11:44 - The Unfinished Revolution: Where the Leaks Begin

• 14:46 - Why Legacy ERP Waves Failed & How AI Breaks the Pattern

• 20:13 - Q&A: Geopolitical Shifts, Tariffs, and Demand Projection

• 26:34 - The 10 Critical Master Data Points to Clean First

• 32:35 - Can AI Agents Autonomously Run Sourcing Events (PR to PO)?

• 40:15 - The Double Squeeze: Will Small Suppliers Get Left Behind?

• 47:28 - Ownership Blame Games vs. The Reliable Digital Backbone

• 55:21 - India's $150B Manufacturing Opportunity & Tech Maturity

• 1:00:56 - Cost of Digitization vs. The New Validation Bottleneck

• 1:04:00 - Summary: 5 Core Checkpoints for Deploying AI

Global AI spending is projected to hit $2.52 trillion by 2026 , yet 82% of companies are reporting cutting SaaS and IT vendors who cannot demonstrate concrete returns. The market has already wiped $285 billion from software valuations in early 2026—an event experts are calling the "SaaS Apocalypse". Are you building an AI-native solution, or just dressing up an expensive subscription as an AI wrapper?

Episode Summary: In this comprehensive 202X Vision masterclass, host Vishwendra Verma, (Founder and CEO, GrowthSutra) is joined by global deep-tech leaders Dr. Sudhin Baraokar (Ex-SBI, Barclays, IBM, GE) and Dharmender Kapoor (DK) (Former CEO of MindSprint and Birla Soft). Together, they diagnose why treating AI like a plug-and-play SaaS product fundamentally breaks down—especially in process-rich, complex industrial environments like manufacturing, energy, and construction.

Moving beyond the virtual world, this episode maps out the real "100x opportunity" lying dormant in physical asset industries. The panel provides a step-by-step playbook for global and Indian enterprises to shift from legacy systems to AI-native architectures. Whether you are an IT leader assessing your company's "ERP Activation Index" or a founder looking to build defensible AI moats, this episode delivers the exact frameworks you need to survive and scale.

• 
  

  The SaaS vs. AI Divide: Why AI requires continuous reasoning and real-time decisioning, unlike the static business rules of traditional SaaS.

  
  

• 
  

  The 100x Industrial AI Opportunity: Why physical asset industries offer massively more AI potential (predictive maintenance, supply chain, R&D) than virtualized sectors like banking.

  
  

• 
  

  The "Decision-Backward" Audit: How to evaluate your company's AI readiness based on decision complexity rather than mapping outdated, static processes.

  
  

• 
  

  The Quantum Multiplier: How combining AI for reasoning with Quantum computing for deep-dive signal analysis creates unprecedented capabilities.

  
  

• 
  

  Leadership Conviction (SNAKE Analysis): The framework to evaluate Stakeholders, Needs, Alterables, and Constraints to ensure executive teams are culturally ready for AI.

  
  

• 
  

  The India Delivery Advantage: How Indian enterprises and global hubs can leverage local application transformation strengths to outmaneuver slow-moving legacy "elephant" organizations.

  
  

• 00:00:00 - The $2.5 Trillion AI Boom & The "SaaS Apocalypse"

• 00:04:46 - The Technical Difference: AI Wrappers vs. AI-Native Models

• 00:08:11 - Lessons from the ERP Era: Why AI is Not a SaaS Product

• 00:15:35 - Why AI Wrappers Break in Process-Rich Industrial Environments

• 00:20:26 - The 100x AI Opportunity in Manufacturing & Complexity

• 00:28:05 - What is "AIX"? Building the Fully Connected Neural Enterprise

• 00:32:30 - Why Deep Domain Expertise is the New Differentiator

• 00:34:53 - The ERP Activation Index: Auditing Your "First and Last Mile"

• 00:37:19 - The "Decision-Backward" Approach to AI Implementation

• 00:41:43 - Busting Infrastructure Myths: Building SLMs for Under $1,000

• 00:53:45 - Baking Security and Guardrails into AI from Day Zero

• 00:55:58 - The Quantum Multiplier: Combining AI Reasoning with Quantum Deep Dives

• 00:58:48 - Managing the Inevitable: Human Bias, Data Drift, and Context Drift

• 01:05:36 - Leadership Readiness: The "SNAKE" Analysis Framework

• 01:08:45 - Build vs. Buy: Startups vs. Giant "Elephant" Organizations

• 01:15:20 - 5 Essential Checkpoints for AI Builders Before Going to Production

AI demos are increasingly indistinguishable. Enterprise buyers see intelligence everywhere—yet adoption, expansion, and sustained usage remain inconsistent and slow.The problem isn’t the model. It’s how AI is distributed inside complex organizations.00:16:08 The "Invisible Gatekeepers" of AI Discovery00:46:40 The Distribution "Death Valley"—Pilots vs. ProductionThis session takes a hard look at the full spectrum of AI distribution motions in the enterprise—from sales-led and product-led approaches to embedded AI, platform partnerships, channels, and internal champion–driven rollouts. We’ll explore where each motion shows promise, where it quietly breaks down, and why no single path works universally for AI at scale.Through real-world operator perspectives, we’ll examine:- Why traditional enterprise sales motions struggle to prove AI value beyond the pilot?- Where product-led and self-serve models fail under enterprise risk, security, and change management?- How partnerships and platforms help distribution—but rarely solve adoption?- What actually determines whether AI becomes embedded in workflows or stalls at experimentation?

Satya Nadella warned that "If AI only benefits tech firms, it's a bubble." Yet, 95% of AI pilots fail to deliver measurable ROI (MIT NANDA Study 2025) , leaving sellers stuck in "Pilot Purgatory."

In this episode of GrowthSutra’s 202X Vision, host Vishwendra Verma discusses the "Valley of Death" with a panel of industry veterans. This conversation is essential listening for Founders, CROs, Sales Heads, and Product Leaders who need to understand why their PoCs aren't converting into long-term profits.

We move past the hype to discuss the hard realities of 2026: accountability, exploding cloud costs, and the missing workflows that kill deals.

Key Topics for Sellers:

• The "Valley of Death": Why pilots work in the lab but break in production.

• The "Domino Theory": How Workflow gaps lead to Trust gaps with buyers.

• "Return on Intelligence": How to frame value when immediate ROI is missing.

• The OpEx Trap: Why cloud storage costs catch customers off guard in Year 3.

• Closing the Deal: Why "Shadow Production" is the safest way to prove value.

Chapters:

• 00:00 - The Shift: From Experimentation (2025) to Accountability (2026).

• 02:37 - The Deal Killer: Why 95% of AI Pilots Fail.

• 06:48 - Case Study: Why a Chatbot Pilot failed to renew.

• 16:27 - The "Domino Theory": Learning Gaps → Trust Gaps.

• 41:54 - The Infrastructure Shock: CapEx vs. OpEx Cost surprises.

• 52:41 - Build vs. Buy: The 2:1 advantage for faster deployment.

• 01:00:52 - The Sales Strategy: Proposing "Shadow Production" to win the contract.

• 01:03:22 - Governance: The "AI Sandwich" Model (Gartner).

  
  

Featured Guests:

• Vishwendra Verma: Founder & CEO, Growth Sutra

• Gayathri Devi Jayan: Founder at AIDVICE

• Pravin Savant: Global Advisor & Governance Expert

• Arun Mathew: EVP - Systems & Technology at MullenLowe Lintas Group

Connect with GrowthSutra:Subscribe us on YouTube or Follow us on LinkedIn for upcoming live sessions on Enterprise AI distribution.

Subscribe to the 202X Vision Newsletter.

Next Live Session (Feb 19th): "Broken Distribution in Enterprise AI"

#EnterpriseAI #B2BSales #SaaS #ProductStrategy #CRO #TechPodcast