

Mortgage Platform Better.com handled 100,000 calls per month. Most of them, the same question on the third round. The loan officers were on the phone instead of selling. After the company put an AI agent named Betsy on this stream, the cost of applying for a mortgage fell by 41%, and the team stopped spending 1,666 hours per month on what the agent does in seconds.
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Credit specialists Better.com They answered the same thing every day. The status of the application. A list of documents. Payment calculation. Up to 60% of the working day was spent on calls that required no expertise, no decisions, only time.
The company did not want a chatbot with buttons, but an agent who conducts a normal dialogue and closes the request himself. Without having to pull a live specialist every time.
We connected the Betsy voice AI agent directly to the application system. Betsy answers borrowers' questions, checks their statuses, and explains the terms. If the call is non-standard, it immediately switches to a specialist. He doesn't read scripts: he understands the context and sets the clarifications himself.
The agent was trained on real conversations Better.com , with their terminology, regulatory requirements, and typical scenarios. Not a boxed solution, but a tool customized for a specific process.
«Betsy does not just respond, she closes the appeal. A specialist is involved only where expertise is needed.»
| The indicator | Before | After |
|---|---|---|
| The percentage of closed requests without a person | 0% | 35,5% |
| The cost of obtaining a mortgage | basic level | -41% |
| Saving hours per month | - | > 1,666 hours |
| Call volume without staff growth | limited | ~100,000 per month |
The specialists switched to sales and complex cases. Better.com I started taking on more volume without hiring. Transaction operating costs have almost halved.
If you want to understand which of these will give the result in your case, write to the manager. We'll analyze it for free.