We automated our business vetting with OpenClaw

I’ve always wanted to build something with openClaw.

But it had to be genuinely useful for our business, not just another toy app for managing tasks.

Today, our Kelviq vetting system runs entirely on OpenClaw, handling initial screening and speeding up customer onboarding.

The Problem:

After launch, we started getting a surge of requests for business verification. Business verification is mandatory for us, as we operate an MoR platform. So every time a profile was submitted, we had to dive deep into the business to decide on approval. It was consuming a massive amount of time, causing constant context switching, and leaving us drained (especially when the outcome had to be a rejection).

So, we decided to automate it.

The Solution:

1. A profile is submitted, triggering a message to Discord that tags our Kelviq bot.
2. Our OpenClaw server picks up the request.
3. The AI agent analyzes the website, compares it against our policies, and makes a decision.

The bot instantly outputs an approval or rejection, a detailed reasoning statement, the appropriate category, and a confidence score.

The Flow:

User input (URL) → Kelviq Backend → Discord → OpenClaw Agent → Web Scraping → Policy Check → VERDICT.

The Stack:

– OpenClaw image deployed on a DigitalOcean
– OpenRouter subscription
– Discord for messaging

Here is the video + story behind building this over a weekend.

Hope this is helpful! And happy to share more details if anyone’s building something similar.