Rievax AI
A voice AI platform that handles call routing, receptionist duties, and billing collection for small and mid-sized businesses — designed to sound less like a bot and more like the front desk.
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Small and mid-sized business clients were losing revenue in two specific, unglamorous places: missed calls that never got a callback, and overdue accounts that nobody had time to chase down consistently.
Both problems were repetitive enough to automate, but sensitive enough that a bad bot experience would cost more in trust than it saved in labor.
The brief wasn't "add a chatbot" — it was to design something that could actually stand in for a receptionist or a collections rep without customers feeling handled by a machine.
- Call-routing and receptionist flows needed to handle real ambiguity — customers don't phrase requests the way a decision tree expects.
- Billing collection is a trust-sensitive conversation; getting the tone wrong risks the client relationship, not just the call.
- Every client had a different intake process, so the system had to be configurable, not one-size-fits-all.
I designed the conversation flows the way I'd design any interface — mapping the real paths a caller takes, not just the happy path, then working with engineering to wire that logic into the LLM and Twilio integration.
For the collections agent specifically, I designed the decisioning around intent and risk signals in the conversation itself, so the agent could propose a custom payment plan in real time rather than following a rigid script regardless of what the customer actually said.
Alongside the conversational product, I designed the visual and brand layer for the platform itself — the interface clients and their customers actually see and configure.
The collection agent's real-time risk-and-intent decisioning became the reference pattern for how later conversation flows on the platform were designed.