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What AdviserDesk AI actually does on a review day

Review days have a rhythm of their own. Three or four clients booked, each a household you half-remember, and somewhere between the second flat white and the school pickup you have to turn those conversations into Statements of Advice, follow-up emails, and a file that would hold up if someone read it back to you in two years' time. Most of us do the talking well. It's the writing-up that eats the evening.

So instead of listing features, let's walk through one review the way it actually unfolds — a fictional client, a real workflow — and point at the moments AdviserDesk AI earns its place. Where it drafts, where it flags, and just as importantly, where it hands the pen back to you.

Walk in already knowing

Say you've got a 2pm with the Pateras: a couple in their late thirties, mortgage, two kids, life and trauma cover taken out a few years ago and not touched since. Before they arrive, you open their household in AdviserDesk and ask, in plain English, what's changed and what's coming up. The policies, the renewal dates and the notes from the last review land on one screen — no digging through three folders and an old email thread.

This unglamorous part decides how the whole meeting goes. Knowing the second child arrived since you last spoke, and that the mortgage was topped up for the renovation, means you ask better questions. The AI isn't doing anything clever here yet. It's just putting the context you already own in front of you instead of leaving it scattered.

Record the conversation, not the minutes

With the clients' okay, you record the review. That permission is worth getting right: tell them plainly that you're recording so you can write the advice up accurately, and that the recording lives in their secure file. Most clients are relieved — it means you're listening rather than scribbling. How you handle consent and storage should line up with your own privacy obligations and your licensee's policy, so if you've not recorded a client before, it's worth a quick check with your compliance adviser first.

Now you can be present. You talk about the new baby, the renovation, the fact that one of them changed jobs and the group cover is different. You're not glancing at a notepad. The transcript captures all of it, and when the meeting ends, AdviserDesk turns that transcript into a structured summary: what was discussed, what was decided, and the action items pulled out as tasks rather than buried in prose.

From transcript to an SOA draft

Here's the bit that used to be the evening's work. From the transcript, AdviserDesk drafts the Statement of Advice — the client's circumstances as they described them, the needs you identified, the recommendation and the reasoning behind it, in the structure you'd expect. It writes from what was actually said in the room, not a generic template, so the 'why' is grounded in the Pateras' real situation: the new dependant, the larger mortgage, the changed employment cover.

What it produces is a draft. Read that word carefully, because it's the whole point. The AI assembles a competent first version fast; you are still the adviser whose name goes on the advice. You check the numbers, confirm the recommendation reflects what you intended, fix anything the transcript garbled, and make the judgement calls a model can't. The time saved isn't in skipping the thinking — it's in skipping the blank page.

  • Reads the transcript and shapes it into an SOA-style draft
  • Grounds the reasoning in the client's stated circumstances, not boilerplate
  • Surfaces the action items as tasks so nothing slips
  • Leaves the recommendation, the numbers and the sign-off to you

The gap you might have missed

While it reads, AdviserDesk also notices what tends to slip past on a busy day. A new child and a bigger mortgage are exactly the life events that quietly leave a household under-insured: cover that fitted a few years ago may now be light. The system flags it for you to consider, framed as a prompt, not a verdict.

You'll often have clocked it already. But on the fourth review of the day, running on caffeine and goodwill, a quiet 'have you looked at their trauma cover against the new lending?' is the kind of nudge that protects the client and the conversation you have at the next renewal. You decide whether it's worth raising. The tool just makes sure you saw it.

The follow-up email, in your voice

Last step, and the one clients actually see. AdviserDesk drafts the follow-up email summarising what you discussed and the next steps — and it writes in your tone, not chirpy generic-CRM English. If you write short and warm, so does it. If you're more formal with this particular household, it reads the room. Because it's working from the transcript and the SOA, the email is specific: it names the renovation and the new arrival, not 'thank you for your time today.'

You read it, tweak a line, and send. By the time the Pateras are back in the car park, they've got an email that sounds like you, and you've got a drafted SOA waiting for review instead of a sticky note that says 'write up Pateras.' The paper trail — transcript, summary, advice document, email — assembled itself as you worked.

Where the adviser still does the work

It's worth being honest about the limits, because that's what makes the tool trustworthy. Nothing here is advice until you've reviewed it, and the tool doesn't promise compliance — it builds drafts and a tidy record for you to check. The AI doesn't decide what's suitable, doesn't sign anything, and doesn't replace your judgement about a client you know better than any transcript could. It clears the admin so your attention goes to the parts that need an adviser: the recommendation, the relationship, the call on what this family actually needs.

Stack that across a full review day and the maths is simple. The talking takes the same time; the writing-up shrinks from your evening to a review-and-send. That's the whole pitch — not that the machine becomes the adviser, but that it hands back the hours you'd otherwise spend typing, with the trail already built. Try it on your next review and see how the evening feels.

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