A AI chatbot for a lending business tackles one specific leak: clients and referrers ring and email all day with the same questions: has my application been submitted, what documents do you still need, what rate did I end up with, when does it settle. Each one pulls the broker or a loan processor off a live deal to look it up, and after hours the questions bank up as voicemails and unread emails to work through in the morning. Bamco builds it around the tools you already run, so it fits your operation rather than forcing you to change how you work.
Information current as at 4 July 2026
Clients and referrers ring and email all day with the same questions: has my application been submitted, what documents do you still need, what rate did I end up with, when does it settle. Each one pulls the broker or a loan processor off a live deal to look it up, and after hours the questions bank up as voicemails and unread emails to work through in the morning.
This is not a generic problem with a generic tool bolted on. It is a specific leak in a lending business, and the system is built to close it. You can see the full picture of where a lending business leaks margin on the lending industry page.
An assistant that answers client and referrer questions from your live deal data. It draws on what sits in Connective Mercury or Salestrekker, application status, outstanding document lists, and settlement dates, and answers in plain language on your website, over SMS, or by email. When a question needs a human, it routes it to the broker or processor with the deal and context already attached, rather than a cold voicemail. It never quotes a rate or gives advice it should not: those hand off to you.
Bring us the idea you already have, or book an audit and we map where the money is leaking. Either way, you deal directly with the senior team that designs and builds it.
Week one. From the first week, the routine status and document questions get answered instantly instead of interrupting the broker, and after-hours queries stop piling up as voicemails and emails to return the next morning.
Month three. By month three the assistant has learned the questions your clients and referrers actually ask, deflects a meaningful share of the calls that used to hit the office, and gives you a record of what people keep asking, which tells you where your client communication is weakest.
Engagements typically start around $50k and are scoped after a systems audit, priced as a fraction of what a legacy build of the same capability would have quoted. You get a fixed-scope proposal with a real number before anything is built, and you own what we build. The point is not the price. It is that a well-built AI chatbot for a lending business is meant to pay for itself in multiples, by plugging a leak that is costing you every week it stays open.
Whether you can name exactly what you want built, or you just know something is leaking, the next step is the same conversation.