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Agentic AI for revenue recovery: diagnoses failed payments, recovers them safely behind a deterministic policy engine, and measures the money won back vs a naive baseline.
AI revenue recovery control plane that diagnoses payment failures, enforces bounded policies, executes provider actions, and verifies recovered revenue.
Autonomous AI revenue recovery and statutory compliance agent for Razorpay. Intelligently triages payment failures, eliminates card-network penalties, and coordinates multi-channel recovery with an immutable audit ledger.
ReviveOS is an autonomous revenue recovery engine for Razorpay. When transactions fail from bank downtime, expired cards, or checkout dropouts, it uses multi-model AI (Gemini/OpenRouter) and strict safety guardrails to restore lost sales via instant rerouting and 1-tap WhatsApp payment links—recovering 80%+ of dropped GMV with zero customer spam.
AI-powered revenue recovery system that detects payment failures, proposes safe recovery actions, and verifies whether recovered revenue can honestly be attributed to the system.
RecoverAI is an AI-powered failed payment recovery platform that uses ML and Gemini AI to prioritize recoverable transactions and recommend recovery actions. Built with React, FastAPI, and PostgreSQL, it also tracks recovery performance and recovered revenue.
AI-powered revenue recovery system that combines recoverability prediction, economic optimization, deterministic guardrails, and bounded workflows for failed and at-risk payments.
Tally is an AI revenue-recovery agent for Razorpay merchants — it classifies why a payment failed and recovers it over email, WhatsApp, or voice, guardrailed by code, not the prompt.
Bounded subscription-recovery engine for Razorpay: treats mandate retries as a regulated three-attempt budget and spends them only where a retry can actually land. Razorpay AI Buildathon 2026, Track 03.