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Can an IFA use AI to write suitability reports without breaching Consumer Duty?

The question is not whether the model can write it. It obviously can. The question is whether you can show, eighteen months later, who decided what, and that is a records question, not a model question.

Published 7 min read Sources checked 8 September 2026

Filed under Financial advice, FCA Consumer Duty, Suitability reports, AI governance

Generated art for this note.

The short answer

Yes, but the model must draft, never decide. A defensible setup has four things: the adviser signs the recommendation, every source the draft used is retrievable, client data stays inside controls you can evidence, and the file shows what was changed between draft and sent. Absent those, you have not saved time. You have moved the risk.

On this page · 7 sections
  1. What is the actual regulatory risk?
  2. What has to be true before it is defensible?
  3. What does a sensible first step look like?
  4. Is anyone actually being fined for this?
  5. What this does not tell you
  6. Questions people ask
  7. Sources

Every adviser has now been shown the same demo. A fact-find goes in, a suitability report comes out, and the room does the arithmetic on paraplanner hours.

The figure usually quoted is four to six hours per report. It comes from vendors selling suitability report generators: it is a vendor claim, not independent research, and we could find no regulator or trade body figure to corroborate it. Treat it as the seller’s number. It is still probably the right order of magnitude, which is exactly why the question deserves a serious answer rather than a demo.

What is the actual regulatory risk?

Not that a model writes badly. Models write fluently, which is the problem.

A suitability report is a record of a decision. Consumer Duty asks you to evidence that the outcome was good for the client. If the reasoning in the file was generated rather than reasoned, and nobody can now say which parts the adviser actually held a view on, you do not have an evidence problem in the future: you have one already.

Draft against decideThe model may assemble, summarise, draft and check consistency. The adviser must select the recommendation, judge suitability against objectives, own the risk assessment and sign the file.The model mayclerical, reversible, checkableExtract facts from the fact-find and LOA packSummarise provider literatureDraft the narrative sectionsFlag internal contradictionsCheck the report against a house templateProduce a plain-English client summaryThe adviser mustjudgement, and it stays judgementSelect the recommendationJudge suitability against objectivesOwn the attitude-to-risk conclusionDecide what the client is not told to doSign the fileAnswer for it in eighteen monthsDraft against decideThe model may assemble, summarise, draft and check consistency. The adviser must select the recommendation, judge suitability against objectives, own the risk assessment and sign the file.The model mayclerical, reversible, checkableExtract facts from the fact-find and LOApackSummarise provider literatureDraft the narrative sectionsFlag internal contradictionsCheck the report against a housetemplateProduce a plain-English client summaryThe adviser mustjudgement, and it stays judgementSelect the recommendationJudge suitability against objectivesOwn the attitude-to-risk conclusionDecide what the client is not told to doSign the fileAnswer for it in eighteen months
The line is not "AI or no AI". It is "assembles" against "decides". Noxia’s framing, drawn from FCA Consumer Duty outcome requirements. Not FCA guidance.

What has to be true before it is defensible?

1. The adviser signs, and the file shows they changed something

A file where every AI draft went out untouched is a file that says nobody read them. Keep the diff between draft and sent. It is the cheapest possible evidence that a human was in the loop, and it costs nothing to retain.

2. Every source is retrievable

If the report says the fund’s ongoing charge is 0.62%, you need to be able to produce the document that said so, on the date it said it. A draft that cannot show its working is a liability wearing the clothes of an efficiency.

3. Client data stays inside controls you can evidence

This is a data protection question before it is an FCA one. Where does the fact-find go, who processes it, where is it stored, for how long, and can you show that to a client who asks? “It goes to a model” is not an answer to any of those.

4. The failure mode is visible, not silent

The dangerous output is not the one that breaks. It is the one that reads perfectly and is wrong about one number. Your check has to be on the facts, not on the prose, because the prose will always be fine.

A model that writes a beautiful report about the wrong fund has not failed in any way your reviewer will notice. That is the entire risk, in one sentence.

What does a sensible first step look like?

Not the whole report. Take the section that is genuinely clerical and has a checkable output (the factual summary of current arrangements) and automate only that. It is the part with the most re-keying and the least judgement.

SectionJudgement loadSensible to draft?
Current arrangements summaryLow, it is transcriptionStart here
Objectives as stated by the clientLow, but must be verbatim-faithfulYes, with the source quoted
Product / provider comparisonMedium, selection is a viewDraft the table, own the shortlist
Attitude to risk conclusionHighNo
The recommendation and whyHighNo
What was considered and rejectedHigh, and this is what gets testedNo

Is anyone actually being fined for this?

Not that we can find, and we looked. That is not reassurance: it is early. The absence of enforcement in a new practice tells you the sample is small, not that the practice is safe.

The defensible position is the boring one: use it where the work is clerical, keep the human decision explicit, keep the trail, and be able to explain the setup in one page to someone who is not technical. If you cannot write that page, you are not ready to use it on client files.

What this does not tell you

Whether a particular setup is compliant. The FCA has published no rule specific to AI-drafted suitability reports; the Consumer Duty asks for good outcomes and evidence of them, so the four conditions above are what we think makes a file defensible, not a regulatory checklist. We are not lawyers or compliance consultants, and a firm with a live question should put it to one.

Nor does it rest on any enforcement case. We found none about AI-drafted advice specifically, and the vendor figure in the sources is marked uncorroborated because nobody else has reproduced it.

Questions people actually ask

Can AI write a suitability report for a UK financial adviser?

It can draft one. The adviser must still select the recommendation, judge suitability, and sign the file. A defensible setup keeps the human decision explicit, retains the sources the draft used, keeps client data inside evidenced controls, and preserves the difference between the draft and what was sent.

How long does a suitability report take to write manually?

Four to six hours per report is the figure most commonly quoted. It originates from vendors selling AI suitability report generators rather than from independent research or a regulator, so treat it as a seller’s number.

What is the biggest risk of AI-drafted suitability reports?

A fluent report that is wrong about one fact. It will not look like a failure to a reviewer, because the prose is fine. Checks therefore have to be on the underlying facts and their sources, not on the readability of the output.

Sources

  1. 01
    AdvisoryAI, AI Suitability Report Generators for UK Financial Advisers: 2026 Buyer’s Guide, last updated 18 May 2026 (the four-to-six-hours-per-report figure, stated without a source). advisoryai.com(opens in a new tab)

    Weight: vendor selling the fix; uncorroborated Re-checked: every six months Last read: 24 September 2026

  2. 02
    FCA, PS22/9 “A new Consumer Duty”, 27 July 2022: “the rules come into force on 31 July 2023” for open products and services, and on 31 July 2024 for closed ones (the four outcome tests that make this a records question). fca.org.uk(opens in a new tab)

    Weight: regulator, primary Re-checked: every six months Last read: 24 September 2026

Checked 8 September 2026. Next scheduled check 23 March 2027. Numbers that move (leaderboards, live indices) are re-checked every 30 days; annual datasets and rules in force every six months; dated research once a year. If something here has gone stale before we got to it, tell us and we will correct it and say what changed.

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Cite this note

Noxia, “Can an IFA use AI to write suitability reports without breaching Consumer Duty?”, Field notes, 8 September 2026; sources checked 8 September 2026. https://www.noxia.co.uk/field-notes/ai-suitability-reports-consumer-duty

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