Automating Business Vetting with OpenClaw: A Case Study
A developer has shared how they automated their business vetting process using OpenClaw, moving from manual verification to an AI-powered system.
The Problem
After launching their MoR platform, they experienced a surge in business verification requests. Each profile submission required deep investigation to decide on approval, consuming significant time, causing constant context switching, and becoming particularly draining when rejections were necessary.
The Solution
They built the Kelviq vetting system that runs entirely on OpenClaw. The workflow is:
- A profile submission triggers a message to Discord that tags their Kelviq bot
- Their OpenClaw server picks up the request
- The AI agent analyzes the website, compares it against their policies, and makes a decision
- The bot outputs an approval or rejection, a detailed reasoning statement, the appropriate category, and a confidence score
The Stack
- OpenClaw image deployed on DigitalOcean
- OpenRouter subscription
- Discord for messaging
This implementation handles initial screening and speeds up customer onboarding for their business verification process.
📖 Read the full source: r/openclaw
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