A client books a review meeting, and she arrives with a printed retirement plan she generated herself the night before using ChatGPT. The numbers look reasonable, the structure is sensible, and she is not combative in any way. She is curious, prepared, and rather proud of what she has put together as she slides the document across the table and asks what you think.
This is the meeting many advisers have already had, and for those who have not, it is coming. The adviser’s first move in that moment will shape the next ten years of the client relationship, so it is worth thinking about in advance. Let’s see why clients are arriving with AI-generated plans, decide how you should respond, and look at what that means for the way you run your meetings from now on.
Understand what is happening in the room
Clients who arrive with an AI plan are not trying to replace you. They are arriving prepared, in much the same way most of us now research symptoms before seeing a doctor, because we want to ask better questions and feel less exposed in the conversation.
According to the Old Mutual Savings and Investment Monitor, South African consumers are increasingly turning to online sources to research financial decisions before engaging a professional. Layer AI on top of that shift and the behaviour accelerates quickly, so the client who used to arrive with a spreadsheet now arrives with a full plan that reads like the real thing.
The important part to grasp is that every client you serve is being trained on AI right now – whether through their work, their children’s schooling, or the search engines they already use every day. This is going to increase rather than fade, which means the meeting described above is a preview of how most review meetings will begin within the next two years.
Decide how you will respond
You have three options when a client opens that AI-generated plan in front of you, and only one of them works. You can fight it, defend against it, or collaborate with it. Fighting it sounds like “these tools get things wrong all the time”, and while you may be correct on the technical point, you will still damage trust because the client hears you dismissing both her effort and her judgement. Defending against it sounds like a long explanation of why your process is better and why she should have come to you first; but she did come to you.
Collaboration is the only response that protects the relationship, and it sounds like “this is great, I love that you have engaged with this, so let us go through it together and see what it got right, what it missed, and what it could not have known about your situation”. In that moment you become a partner rather than a gatekeeper, and your value shows up in the judgement, context, and accountability you bring to the plan she has already drafted. Remember that AI cannot carry fiduciary duty, but you can, and your client still needs you for the decisions the machine is not allowed to make on her behalf.
Do the work to be ready for this meeting
The collaboration response sounds easy on paper, but in the room, under pressure, it is considerably harder, so it pays to prepare for it before the meeting happens rather than during it. Start by adding a question to your meeting agenda template that invites the client to share anything she has already researched or modelled, because this simple change turns the AI plan from a surprise into an expected input. Role-play the scenario with your team as well, so that the first time someone on your side collaborates with an AI-generated plan is not in front of a paying client.
Then look honestly at your own data, because the reason a generic AI plan can feel convincing is that the client does not yet know what the personalised version looks like. Your advice should be visibly more tailored and more aware of the client’s full situation than anything a public chatbot can produce, and if it is not, the tool is not the problem. Your data and your processes are.
The client who arrives with an AI plan is a gift, because she has done the hard part by showing up prepared and engaged with her own financial future. Meet her there, collaborate with what she has brought, and add the judgement, context, and accountability that the machine cannot. That is the work, and that has always been the work.
Stay curious!
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