Autonomous Customer Ops Agent

What this build is about: Our project is an end-to-end Autonomous Customer Operations Agent powered by LangGraph. It acts as an AI frontline support worker that automatically ingests live customer emails, uses cognitive reasoning to extract required data (like model/serial numbers and photos), and autonomously emails customers back if information is missing.

Why we built it: Customer support teams waste thousands of hours on the "ping-pong" effect—manually going back and forth with users just to collect basic data. We built this agent to completely eliminate that busywork. It handles all triage and only escalates tickets to human managers when they are 100% complete and ready for financial approval.

How it can be useful for others: This agent reduces standard resolution times from 24 hours down to 10 seconds. To make it enterprise-ready, we utilized SwytchCode APIs as our core execution layer. Once the AI makes a decision, it uses SwytchCode to automatically push "Human-in-the-Loop" approval alerts to Slack, draft refund payloads in PayPal, and securely log audit records into Notion.

Relevant Links:

• GitHub Repository: https://github.com/byteraiderz/autonomous-ops-agent