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Agentic AI Network for automated complaint resolution using blockchain.
Inspiration
Consumer grievances in India are a nightmare—slow, fragmented, and exhausting. With 4+ hours wasted per case on follow-ups and forms, millions of consumers struggle with inefficiency, lack of awareness of rights, and opaque processes. We were inspired to create an AI-first system that acts like a personal advocate—always available, multilingual, and fair—so consumers can focus on living, not fighting bureaucracy.
What it does
Agentic AI for Consumer Advocacy is an autonomous AI advocate network that streamlines the entire complaint journey. It:
Files and classifies complaints automatically.
Guides users to collect verifiable evidence stored on blockchain.
Explains consumer rights in simple, multilingual language.
Tracks case progress in real time.
Auto-escalates when timelines are missed.
Engages with businesses, regulators, and consumer forums via multi-channel outreach.
The result: consumers spend minutes instead of hours resolving grievances, while regulators and businesses gain transparency and trust.
How we built it
Frontend & UI: Next.js 14 + Tailwind CSS for responsive, performant user experience.
Backend: FastAPI + PostgreSQL for structured complaint workflows.
Agentic AI Framework: LangChain / CrewAI for multi-agent orchestration, OpenAI GPT-4 for reasoning and legal Q&A.
Memory & Retrieval: Redis + Pinecone for short- and long-term case history.
Blockchain: Polygon + Web3.py for tamper-proof evidence management.
Security: JWT-based authentication for secure sessions.
Autonomous Agents: Complaint Handler, Legal Advisor, Escalation Agent, Communication Agent.
Challenges we ran into
Designing escalation logic that adapts to diverse domains (e-commerce, telecom, banking).
Training multilingual NLP models for legal + consumer language.
Balancing transparency with privacy when storing evidence on blockchain.
Integrating multi-channel communication (emails, portals, social media) reliably.
Ensuring AI outputs remain legally accurate and regulation-compliant.
Accomplishments that we're proud of
Designed India’s first agentic AI consumer advocate framework.
Created a blockchain-backed system for fair, verifiable complaint evidence.
Reduced consumer active time per case by over 80% in simulations.
Built a transparent, regulator-friendly complaint dashboard.
Proved multi-agent collaboration can solve a real, large-scale public issue.
What we learned
Consumers need more than a chatbot—they need an autonomous system that acts on their behalf.
Trust in grievance redressal comes from verifiable evidence + transparent tracking.
Legal workflows are complex, but decomposing them into modular autonomous agents makes them manageable.
Multilingual access is non-negotiable for inclusion in India.
What's next for Agentic AI for Consumer Advocacy
Pilot with select consumer forums, starting in e-commerce and telecom sectors.
Expand multilingual support to cover 10+ Indian languages.
Integrate voice-based complaint filing for rural accessibility.
Partner with regulators and businesses for official adoption.
Scale the framework into a national-level AI-powered grievance redressal ecosystem.
