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India has quietly built something no other country has: consent-native, population-scale digital infrastructure ready for autonomous AI agents. In this deep dive, I walk through: • 6 live digital public goods (UPI, ABDM, ONDC, AA, ULIP, GSTN) — all at billion-transaction scale • The reference architecture for agentic AI on India's rails • 3 domain caselets: Healthcare (85Cr ABHA accounts), MSME Credit (₹1.6L Cr AA-enabled lending), Logistics (100Cr+ ULIP API calls) • Data governance, FinOps, and security patterns that actually work in production • DPDP 2025 compliance: consent, audit trails, and policy enforcement This isn't about bigger models. It's about better rails. 📊 Data verified: NPCI, ABDM Dashboard, PIB, Sahamati, IBEF (Jan 2026) 👇 QUESTION FOR YOU: Would you want detailed implementation guides for each domain (Healthcare, MSME Credit, Logistics)? Drop a comment with which one you'd want first. 🔗 Follow me on LinkedIn for more: https://www.linkedin.com/in/ajoyacharyya/ Timestamps: 0:00 - Why India's advantage isn't bigger models 1:30 - Slide 1: The Promise 3:30 - Slide 2: Why Now — 6 Rails at Scale 5:30 - Slide 3: Reference Architecture 8:00 - Slide 4: Data Governance & DPDP 2025 10:00 - Slide 5: Compute & FinOps 12:00 - Slide 6: Security-Native Platform 13:30 - Slide 7: Bharat Stack Integration 15:00 - Slide 8: Healthcare Caselet 16:30 - Slide 9: MSME Credit Caselet 18:00 - Slide 10: Logistics Caselet 19:30 - Slide 11: Governance & Gates 21:00 - What's Next + Your Input #AgenticAI #BharatStack #IndiaAI #DigitalPublicGoods #UPI #ABDM #AIArchitecture #TechLeadership