India's Agentic AI Advantage: Building on Bharat Stack at Population Scale

Описание: 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