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01Autonomous LLM agent pipeline

AI Revenue Recovery Engine

An autonomous pipeline that wins back revenue lost to failed payments, abandoned checkouts and declined subscriptions, with safety guardrails on every action.

40%

of failed payments recovered

₹3.13L

net value recovered in a 150-case batch

100%

guardrail precision on fraud and disqualified cases

4.8s

average time to resolve a case

Overview

0x

return on every ₹1 spent

Payment gateways fail for many reasons: timeouts, expired cards, low balances, authentication friction, even vague support tickets. Manual dunning and blind retries leak revenue, annoy customers and risk fraud. This engine handles every case through a deterministic 5-stage loop that classifies the cause, picks a bounded action, executes it, and writes an append-only audit trail.

(01)Features

What it does

Hybrid diagnosis

Known gateway error codes are mapped instantly and deterministically. Ambiguous cases, including Hinglish support notes, fall back to a Groq and Gemini Flash cascade that classifies into a strictly bounded set of causes.

Policy-bounded actions

Twelve registered policy rules decide which interventions are allowed: alternative payment rail, payment link, cooldown retry or human escalation. The model never invents an action.

Safety invariants

At most three interventions per customer per day, a 48-hour cooldown on soft declines, and a global kill switch that halts everything instantly.

Full auditability

Every case produces an unbroken lifecycle trace in the ledger, verified at the end of each run, with gross recovery, channel cost and net yield tracked per case.

(02)Architecture

The five-stage pipeline

  1. 1

    Detector

    Filters out fraud, duplicates and chargebacks before any customer is contacted.

  2. 2

    Diagnoser

    Finds the root cause with deterministic rules first and an LLM fallback second, with a confidence score.

  3. 3

    Strategist

    Selects a bounded action plan from the policy registry and checks it against the safety guardrails.

  4. 4

    Executor

    Runs the plan through the Razorpay API and WhatsApp, email, SMS or support escalation channels, idempotently.

  5. 5

    Auditor

    Reconciles outcomes, computes cost-aware ROI and verifies the audit trail end to end.

(03)Tech stack

Built with

Backend

  • Python
  • FastAPI
  • SQLAlchemy (async)
  • Alembic
  • Pydantic v2
  • Pytest

AI

  • Groq
  • Gemini Flash

Frontend

  • React 19
  • TypeScript
  • Vite
  • Tailwind CSS

Infrastructure

  • Docker
  • Nginx
  • PostgreSQL

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