Future Forge By XLRI

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1. About the Case Competition

Future Forge is XLRI Jamshedpur’s flagship policy and strategy competition, hosted under the Neeti Manthan 5.0 series, one of India’s most prestigious B-school policy challenges. Team Strategix from IIM Rohtak, claimed the winning position. The competition demanded rigorous thinking at the intersection of technology, governance, and public policy making it a standout credential in the case competition circuit.

2. Problem Statement Overview

AI misuse has moved from theoretical risk to active societal threat. Deepfake videos are projected to exceed 8 million by 2025, AI-driven fraud losses are forecast to reach ₹1.2 lakh crore in India, and human detection accuracy for synthetic content sits at just 24.5%. The Asia-Pacific region recorded a 1,530% surge in deepfake fraud in 2024 alone. The root causes span three axes: technological gaps like absent traceability standards and no detection infrastructure; regulatory failures including no legal definition of “synthetic content” and weak enforcement authority; and social erosion driven by low digital literacy and declining institutional trust. The core challenge is designing a governance architecture that deters abuse without stifling AI innovation.

3. What This Winning Deck Covers

The deck opens with a sharp problem diagnosis across four societal dimensions, election misinformation, reputational harm, financial fraud, and citizen trust collapse, anchored in data from Deloitte, WEF, and OECD. A regulatory timeline maps global precedents (EU AI Act, Tennessee’s ELVIS Act, India’s IT Amendment Rules) to frame the innovation-vs-regulation tension the policy must resolve.

The governance architecture is built around the 5-Pillar Trust Architecture: Transparency & Traceability, Platform Accountability, Rights & Redress, Responsible Innovation, and Adaptive Governance. This is operationalised through the 3C Logic Model (Clarity, Compliance, Consistency), which defines uniform standards for what counts as “AI-generated,” “AI-altered,” and “synthetic content.” The proposed AI Ethics & Safety Authority (AIESA) sits at the centre, with tiered platform liability scaling obligations by user base — major platforms above 5 million users face quarterly audits and in-house compliance teams, while startups under 500K users receive open-source detection tools and safe-harbour protections. A similar multi-stakeholder accountability approach is built out in PolicyKraft – IIM Kozhikode.

The implementation roadmap runs across four phases over 30 months, Foundation Setup (0–6 months), Platform Integration (6–12), Regulatory Operations (12–20), and Public Engagement (20–30), each with specific deliverables, from launching the national blockchain provenance registry to deploying the citizen trust index. The deck applies a Triple Bottom-Line lens to the 2030 vision: digital literacy campaigns for People, sustainable compute models for Planet, and regulatory clarity driving investment confidence for Profit. This ESG-integrated policy thinking is also central to the strategy in Nautica 2026 – MDI Gurgaon.

Key Takeaways:

• Governance must regulate the output, not the algorithm, traceable truth over censorship
• Tiered platform liability is the pragmatic middle ground between overreach and under-regulation
• Blockchain-based content provenance (C2PA + metadata hashing) is the technical backbone of authenticity
• Fair-use carve-outs for satire, journalism, and civic content are essential to prevent free-speech chilling
• Phased rollout with measurable KPI milestones prevents implementation collapse at scale

4. The Numbers

The deck projects AI fraud losses rising from $12.3 billion (2023) to $40 billion by 2027, a 32% annual increase. Domestically, expected losses from AI fraud stand at ₹1.2 lakh crore, with a target reduction to ₹40,000 crore by 2030. Key 2030 KPIs include labelling accuracy above 90%, a 40% drop in viral misinformation, Public Trust Index improvement of +25 points, and integration of 30 major platforms within the compliance framework.

This deck is essential for students preparing for public policy, consulting, or tech-governance case competitions, particularly those targeting XLRI, IIM, or IIFT competitions with policy or ESG tracks. MBA students interested in AI regulation, digital trust, or platform accountability will find the 5-Pillar framework and tiered liability model directly reusable. Undergraduates from law, economics, or public policy backgrounds building their policy case toolkit will benefit equally. Explore more winning policy and strategy decks at CaseBuzz.

• Cityscape 2.0 – IIM Rohtak & Lucknow – Long-horizon execution roadmaps and ESG-aligned institutional design, paralleling this deck’s 2030 vision architecture.
• MarcWars – IIM Udaipur – Covers AI strategy and emerging technology business models, useful for understanding commercial dimensions of AI governance.
• Paramarsh 2.0 – IIM Raipur – Strong complement on KPI-driven public policy design, behavioural change frameworks, and phased government implementation.