202X Vision

Every commercial strategy is built on assumptions: customer value, pricing tolerance, manufacturing locations, supply chain dependencies, and profit margins. But in a fast-evolving macroeconomic landscape marked by shifting geopolitics, supply chain disruptions, and digital transformation, what happens when assumptions that once created advantage turn into liabilities?In this episode of the 202X Vision Session, host Vishwendra sits down with Sanjay Srivastava (Strategic Advisor, Former CEO of Mahindra World City) and Vijay Sabarwal (Board Advisor, Former CEO) to unpack why yesterday's business playbooks no longer fit tomorrow’s realities.Together, they explore:The Shift from Cost to Diversification: Why lowest-cost manufacturing is giving way to supply chain predictability, agility, and risk mitigation.Evolving Customer Expectations: How B2B buyers are moving away from traditional feature customization to demanding shared outcomes, responsiveness, and co-creation.Commercial Models & Procurement Friction: The tension between transactional accounting and modern, flexible commercial structures like as-a-service models and product bundling.Supply Chain & Trade Realities: Navigating critical material bottlenecks, localization, and changing industrial infrastructure funding.Diagnostic Signals: Early indicators that your commercial assumptions are weakening before the impact hits your P&L.Timestamps / Chapters:0:00 – Introduction: Why Commercial Assumptions Fail1:12 – The Changing Indian & Global Manufacturing Landscape2:25 – Meet the Panelists: Sanjay Srivastava & Vijay Sabarwal3:02 – Outdated Assumptions: Lowest Cost vs. Diversification4:30 – Black Swan Events & The Need for Predictive Supply Chains5:58 – The Demand Shift: Moving from Vendor to Co-Creator8:05 – Case Study: Industrial Real Estate & Capex-to-Opex Models9:50 – Solution Bundling: Strategic Value or Revenue Defense?11:32 – Why Companies Misread Customer Demand13:50 – Trade Policy, Critical Minerals & Supply Chain Fragmentation16:40 – Modernizing Commercial Contracts & Procurement Models19:05 – Supply Chain Financing & Cash-Flow Mismatches20:45 – Buyer Leverage: Pushing Risk vs. Partnering with Suppliers23:15 – Rapid-Fire: Fast-Aging Assumptions & Future Value Creation25:35 – Key Takeaways & Upcoming Masterclass Preview

Is compliance enough for the future of enterprise deals? In this month’s 2020x Vision session, host Vishwendra Verma sits down with accomplished technology and procurement leaders, Preeti Das and Vipan Sawhney, to unpack the uncomfortable truths about modern B2B deal-making.Despite structured sourcing platforms, governance frameworks, and audit trails, organizations still lose billions to ineffective contract management and poor commercial execution. This episode dives into why the traditional "L1" (lowest bidder) model is failing, the hidden costs that sabotage enterprise transformation, and the unseen human ecosystems driving RFPs. From navigating toxic CIOs to securing data in SaaS platforms and leveraging Agentic AI, this conversation is a masterclass in shifting from price-led purchasing to value-led procurement.The RFP Illusion: Why treating an RFP as just a paper document is the biggest lie in B2B sales—and how to map the human ecosystem behind it.The End of Fixed-Price: How global volatility, supply chain disruptions, and AI infrastructure demands are making traditional fixed-price contracts obsolete.Data Security at the Source: The vulnerabilities of SaaS procurement and how dual-level encryption (Bidder’s Key + PKI) can prevent critical data leaks.Uncovering Hidden Costs: Why ignoring domain expertise and Total Cost of Ownership (TCO) leads to project failure and exhausted vendors.Agentic AI & Startups: Practical applications of AI in legacy industries (like auto insurance) and how forward-thinking enterprises can safely onboard innovative startups without breaking compliance.Chapter Timestamps00:00 - Introduction: The Procurement Paradox02:15 - The Biggest Lie in B2B Deals & RFP Responses06:40 - Why Fixed-Price Contracts are Failing in a Volatile World10:30 - The L1 (Lowest Bidder) Model & AI Infrastructure Costs15:45 - Cybersecurity, Data Leaks, and SaaS Procurement Risks22:10 - Navigating Stakeholders and Identifying a "Toxic CIO"28:30 - Uncovering Hidden Costs & True Total Cost of Ownership (TCO)33:15 - The Iron Triangle: Balancing Time, Quality, and Price38:00 - Q&A: Applying Agentic AI to Auto Insurance Claims42:45 - Q&A: Partnering with Startups vs. Large SIs in Enterprise Innovation47:30 - Closing Thoughts & Sneak Peek at the Next SessionAbout the GuestsPreeti Das: A former Underwriter turned Technology CEO who has led software firms like BirlaSoft and DigiSpice. Preeti brings a wealth of experience in business transformation, digital adoption, and steering complex enterprise negotiations away from mere price wars toward true value creation.Vipan Sawhney: An IT veteran with decades of experience spanning from the early days of CNC machines to modern enterprise logistics. Having worked extensively with large multinationals, Vipin specializes in physical and digital infrastructure, supply chain logistics, and securing the data lifecycle in public procurement.

If AI is making intelligence abundant and cheap, why are so many businesses still failing to gain a competitive advantage? In this episode of 202X Vision, Vishwendra Verma — Founder & CEO, GrowthSutra sits down with industry veterans Preeti Das —Board Member and Entrepreneur and Deepak Bhootra — Chief Executive Officer , Jabulani Consulting LLC to discuss the hard truths about enterprise AI adoption. We move past the hype of models and prompts to answer the questions every B2B leader should be asking: What makes human talent more valuable today? Are traditional B2B sales playbooks dead? And how can organizations preserve their commercial judgment when AI handles the routine work? If you are a commercial leader, sales professional, or founder trying to build a resilient go-to-market strategy in the AI era, this conversation is for you.⏳ Chapters & Key Moments:00:00 - Introduction: Jevons paradox and why AI is making intelligence abundant02:57 - What becomes scarce when AI does the thinking? (Judgment, Context, Learning & Trust)12:46 - Is AI strengthening or weakening your company's competitive "Alpha"?20:18 - The illusion of productivity: Why prompting is NOT thinking36:59 - Do we need to completely revisit B2B sales playbooks?46:49 - The Speed vs. Trust paradox in modern B2B buying decisions58:04 - How to preserve tribal knowledge and commercial wisdom—not just documents01:04:50 - The 5 Leadership Shifts required to win in the AI eraIf you have any queries or comments, feel free to reach out to us.

"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:Fix the First Mile: Why procurement under pressure always triggers a domino effect of operational failures.The 10 Vital Masters: The absolute data prerequisites for any autonomous AI agent or tool.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.proChapters:00:00:00 - Introduction & The 3 Realities of AI in B2B Spend00:02:35 - Meet the Experts: Shiva & DK00:03:36 - Real-World Procurement Failures That Cost Millions00:11:44 - The Unfinished Revolution: Where the Leaks Begin00:14:46 - Why Legacy ERP Waves Failed & How AI Breaks the Pattern00:20:13 - Q&A: Geopolitical Shifts, Tariffs, and Demand Projection00:26:34 - The 10 Critical Master Data Points to Clean First00:32:35 - Can AI Agents Autonomously Run Sourcing Events (PR to PO)?00:40:15 - The Double Squeeze: Will Small Suppliers Get Left Behind?00:47:28 - Ownership Blame Games vs. The Reliable Digital Backbone00:55:21 - India's $150B Manufacturing Opportunity & Tech Maturity01:00:56 - Cost of Digitization vs. The New Validation Bottleneck01:04:00 - 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 Models00:08:11 - Lessons from the ERP Era: Why AI is Not a SaaS Product00:15:35 - Why AI Wrappers Break in Process-Rich Industrial Environments00:20:26 - The 100x AI Opportunity in Manufacturing & Complexity00:28:05 - What is "AIX"? Building the Fully Connected Neural Enterprise00:32:30 - Why Deep Domain Expertise is the New Differentiator00:34:53 - The ERP Activation Index: Auditing Your "First and Last Mile"00:37:19 - The "Decision-Backward" Approach to AI Implementation00:41:43 - Busting Infrastructure Myths: Building SLMs for Under $1,00000:53:45 - Baking Security and Guardrails into AI from Day Zero00:55:58 - The Quantum Multiplier: Combining AI Reasoning with Quantum Deep Dives00:58:48 - Managing the Inevitable: Human Bias, Data Drift, and Context Drift01:05:36 - Leadership Readiness: The "SNAKE" Analysis Framework01:08:45 - Build vs. Buy: Startups vs. Giant "Elephant" Organizations01:15:20 - 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 SutraGayathri Devi Jayan: Founder at AIDVICEPravin Savant: Global Advisor & Governance ExpertArun Mathew: EVP - Systems & Technology at MullenLowe Lintas GroupConnect 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