Mortgage broker AI implementation checklist

Introducing AI into an advice firm is an operational change, not a purchase. The firms that do it well start somewhere small enough that failure is cheap, define who checks what, and expand only once they can show the process holds. The firms that struggle buy a capable tool, announce it at a team meeting and hope.

This checklist covers the project rather than the technology.

Decide what problem you are solving

Write one sentence naming the task, the person who does it today, how often it happens and what it costs in time. If you cannot write that sentence, you are shopping rather than solving, and you will end up judging the result by how impressive it felt.

The best first candidates are frequent, repetitive, internally visible and low consequence if wrong: meeting-note drafts, internal task creation, document naming and filing, appointment reminders, first drafts of routine client updates.

Avoid starting anywhere near lender selection, affordability judgement, suitability reasoning or anything that could reach a client without review.

Baseline before you change anything

Measure the current version for two to four weeks: volume, average handling time, how often it is redone, and where errors occur. Without a baseline you will have an opinion about whether it worked, and opinions about efficiency are usually generous.

Record who does the task now, because the honest question at the end is whether the work disappeared or moved onto someone else's desk.

Check the supplier before the tool

Ask where data is processed and stored, who the sub-processors are, whether client data is used to train models, whether that can be switched off in the contract, and what happens to your data if you leave or the supplier is acquired.

Get a data processing agreement and read it. If personal or financial client information will pass through the tool, this is not a formality — it is the basis on which you are allowed to use it at all. Where the answers are unclear, restrict the tool to information that is not personal data until they are resolved.

Set the data boundary in writing

Decide what may be entered into the tool and what may not, and tell staff in a sentence they will remember. The rule that works in practice is that client information goes only into approved systems, never into a general-purpose consumer tool because it was quicker.

Cover recordings, bank statements, identity documents and anything about a client's health or circumstances. Set retention: how long inputs and outputs are kept, and who can reach them.

Define the human check so it is actually doable

A review step that says "check the output" will decay within a month. Specify what the reviewer compares it against, which specific things they must verify — names, figures, dates, product details, tone — and where the approved version is saved.

Make it fast enough to survive a busy day. If checking takes almost as long as doing the task manually, either the tool is not good enough or the task was the wrong one to start with.

Name an owner for each workflow

One person accountable for how it runs, who fields questions, who reviews the correction log and who has the authority to switch it off. Without that, problems are noticed by everyone and owned by nobody.

Train people on how it fails

Show real examples: invented details that read plausibly, two similar documents confused, a figure misread, missing context filled with a confident guess. People who have seen a convincing wrong answer check differently from people who have only been told to.

Make reporting an error trivial and never make it uncomfortable. Nobody should hesitate to stop an automated process that looks unsafe, and the person who stops it should be thanked.

Pilot on live work, in parallel

Run the new way alongside the old for a defined period, with a small group and real cases. Track time taken, correction rate, anything missed, client reactions and how the team feels about it.

Review the results with whoever owns compliance in your firm and with the people doing the work. Decide explicitly whether to adopt, adjust or stop. Give yourself permission to stop; a pilot that cannot fail is a rollout with extra steps.

Keep a register

One line per tool: what it is, what it is used for, what data it touches, who owns it, who approved it, who has access, when it is next reviewed, and any incidents. It takes minutes to maintain and it is the difference between being able to explain your controls and improvising an answer.

Then do it again

Adopt one workflow properly before starting the next. Firms that add a single reliable process each quarter compound; firms that attempt six at once usually end the year with none of them trusted and a subscription they are embarrassed to cancel.

Review the whole register twice a year. Tools change, suppliers change, your process changes, and something you approved eighteen months ago may no longer be doing what you assumed.