Most people in the AI space are selling glorified wrappers. They build a bot, hand over the API key, and hope for the best.
At Webbility, we’ve realized that the bot is only 20% of the value. The real money—and the real retention—is in the Data Infrastructure.
Here is the 3-step framework we use for our AI builds:
- The Validation Layer: Before the AI even "speaks," we run the raw data through a logic gate to ensure it’s high-signal. If the data is trash, the AI output will be trash.
- The RAG Architecture: We aren't just "feeding it PDFs." We’re building dynamic Knowledge Bases that update in real-time based on client activity.
- The Human-in-the-Loop (HITL) Trigger: We build "Panic Buttons" into our automations. If the AI confidence score drops below 85%, it pings a human instead of hallucinating a wrong answer to a client.
The Result? Systems that don't just "chat," but actually handle fulfillment, lead qualification, and data entry without babysitting.
Question for the builders: Are you guys focusing more on the interface (the bot) or the infrastructure (the backend logic) right now?