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Understanding how automation changes work — task by task, with the evidence shown and the uncertainty admitted.

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You are reading as:I have a jobI am studyingI run a companyI am building something
On this pageFinding out the client's situationRecommending what fitsBuilding and rebalancing portfolios for smaller investorsDocumenting advice and complianceStaying with the client over timeChecking advice clients bring from software
Occupations›Financial adviser / financial planner›Tasks, one by one

Financial adviser / financial planner — tasks, one by one

The unit of analysis is the task, not the job title. Each one below carries its direction, whether the judgement rests on evidence or on platform inference, the reasoning, and what it does not establish.

Tasks
6
With evidence
1/6
Assessed
2026-09-25
Automating×1Being augmented×3Still human-led×1New task×1

Every task on this page#

Finding out the client's situation

Being augmented≈ Platform inference

Learning the client's income, commitments, goals and appetite for risk before recommending anything.

AI / software
Why

Online forms, risk questionnaires and account data now collect much of this before a meeting, and Singapore's financial regulator has set out conditions under which a fully automated service may advise on less information. What forms do not capture well — a client's real worries, a coming change in a family, the answer behind the answer — still comes out in conversation with an adviser.

What this does NOT mean

This rests on the tools and one regulator's framework rather than on a record of how advisers now spend this part of their time.

Recommending what fits

Being augmented≈ Platform inference

Choosing insurance, savings or investment products that suit the client, and being able to show why.

AI / software
Why

Singapore's law requires a licensed firm to have a reasonable basis for a recommendation, grounded in the client's objectives, financial situation and needs — and a licensed firm may meet that through an algorithm as well as through a person. So the rule shapes how recommendations are made rather than who makes them. For simple needs, software now recommends a portfolio on its own; for anything involving several products, tax, a business or a family, the adviser's judgement carries more of it.

What this does NOT mean

This is an inference about how the work is split between software and advisers; the rule it cites governs how advice is given, not whether a person gives it.

Building and rebalancing portfolios for smaller investors

Automating✓ Evidence-backed

Putting a beginner or small investor into a diversified portfolio and keeping it in line over time.

AI / softwareRPA / self-service
Why

Banks now sell this as a product rather than a meeting. One Singapore bank's managed-portfolio service, announced for customers with no prior investment experience from SGD 1,000, uses portfolios put together with the bank's investment strategists and rebalanced when necessary, bought online. For a small account, that route does not pass through an adviser at all.

What this does NOT mean

One bank's announcement shows the route exists and who it is for; it does not show how many small investors take it instead of seeing an adviser, and larger or more complicated portfolios are a different matter.

Documenting advice and compliance

Being augmented≈ Platform inference

Writing up the advice, the disclosures and the reasons for it, and keeping the records a regulator can inspect.

AI / softwareRPA / self-service
Why

Software that drafts advice records from meeting notes or recordings, fills in disclosure forms and checks for missing steps takes over much of the writing. The adviser still has to check that what the record says is what was advised, because the record is what the firm answers for.

What this does NOT mean

This rests on what the software can do rather than on a record of how many advisers use it.

Staying with the client over time

Still human-led≈ Platform inference

Regular reviews, adjusting the plan when life changes, and helping clients hold their nerve when markets fall.

AI / software
Why

A new child, a job loss, an inheritance or a falling market are the moments clients most want to talk to a person they trust. Even the bank service cited here describes its portfolios as watched over by its investment specialists; the reassurance and the change of plan are relationship work.

What this does NOT mean

This rests on the nature of the work rather than on a record, and younger clients may come to accept more of it from an app.

Checking advice clients bring from software

New task≈ Platform inference

Reviewing plans and product suggestions clients got from chatbots or apps, and explaining where they do not fit.

AI / software
Why

Clients increasingly arrive having already asked software what to do. Part of the adviser's work becomes checking that advice against the client's whole situation and explaining the gap — work that did not exist before the tools did.

What this does NOT mean

This is an inference about where the work is heading, not a measurement of how often clients bring such advice.

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