Most of a support and sales team's day is the same few conversations: why is this so expensive, what are my options, can you help me switch. Each one costs real money, and they can't scale without hiring.
Replacing the cost of customer service and sales
Customer service and sales are two of the biggest, most repetitive costs in any consumer business. People answer the same questions and chase the same leads all day. BillChat is my own product, built to show what happens when an AI agent does that work instead. The same thinking can be shaped around almost any business, because everything I do is fully customizable.
Make the bill itself the interface. A customer takes a picture of a bill. The agent reads it, explains it in plain English, flags what looks wrong, answers follow-up questions, and guides the next step. The easiest yes on the internet.
BillChat is built and finished. I'm building in the open, and I won't quote results until they're real.
Work humans do today, and who does it instead
How I build this for your business
- Map the work. We find the highest-volume conversations that are repeatable and rule-based. That's where the money is.
- Build on your data and tools. The agent connects to your systems, so it answers with your real information, not guesses.
- Guardrails and handoff. It's tested against your real conversations. Anything sensitive or uncertain goes to a human, with context.
- Measure, then improve every month. Cost per resolved conversation, share handled without a person, customer satisfaction. We tune it against those numbers, and we hold it to the best-in-the-world bar.
Estimate it for your business
Put in your own numbers. The share handled by the agent is an assumption you can change. In practice we measure the real figure in the first month.
An estimate from your inputs, not a promise. It leaves out the cost of the agent itself, which is covered in the engagement.


