Free IFA AI Prompt Library

Clear client email

Rewrite this email in clear, warm UK English for a financial-advice client. Keep it neutral and professional. Do not add advice or facts: [paste draft].

Useful alongside: AI Client Communications & Disclosure Register

Post-meeting follow-up

Turn these bullet points into a concise post-meeting follow-up email. Separate agreed actions, documents required, and next steps: [paste notes].

Useful alongside: AI Client Communications & Disclosure Register

Explain a process

Explain this process to a client in plain English, using short paragraphs and no jargon: [paste process].

Email subject lines

Create three subject-line options for this client email. Make them professional, clear and non-promotional: [paste email].

Communication risk check

Check this email for jargon, ambiguity, overconfidence, unsupported claims and wording that could be misunderstood. Return a table of issue, reason and safer wording: [paste email].

Useful alongside: AI Accuracy & Validation Register

Volatility communication

Rewrite this communication for a client who may be anxious about market volatility. Keep it calm and factual without giving a recommendation: [paste text].

Outstanding information reminder

Create a polite reminder email asking a client for outstanding information. Do not sound demanding: [list information].

Human review reassurance

Draft a concise email explaining that a member of the team will review the information before any action is taken.

Review meeting agenda

Create a meeting agenda from these topics. Include client priorities, changes since last review, questions, actions and follow-up: [topics].

Neutral internal file note

Turn these rough notes into a neutral internal file note. Separate facts discussed, client questions, actions agreed, outstanding information and matters needing adviser review: [notes].

Useful alongside: AI Advice & Suitability Review Register

Annual review checklist

Create a pre-meeting checklist for an annual financial-planning review. Do not include specific product recommendations.

Review-meeting questions

Generate neutral questions an adviser could consider asking during a review meeting about changes in circumstances, objectives, income, expenditure and risk tolerance.

Information to update

Create a checklist of documents or information that may need updating before a client review meeting.

Factual note summary

Summarise these meeting notes into no more than 10 factual bullet points. Do not infer missing facts: [notes].

Clarify incomplete notes

Identify unclear or incomplete items in these meeting notes that should be clarified before a formal record is created: [notes].

Internal action list

Draft a concise internal action list from these meeting notes, with owner, action and deadline columns: [notes].

Diversification

Explain diversification in plain UK English for a client with limited investment experience. Use an everyday analogy, but do not promise reduced losses.

Inflation

Explain inflation and its possible effect on spending power in simple language. Do not give investment advice.

Investment volatility

Explain investment volatility in plain English, including why values can rise and fall.

Saving and investing

Explain the difference between saving and investing in a balanced, neutral way.

Risk terms

Explain the meaning of risk tolerance, capacity for loss and investment objectives in plain English.

Simplify technical writing

Rewrite this technical explanation at approximately a 12-year-old reading level, while keeping it accurate: [text].

Client glossary

Create a short glossary of the technical terms in this document, using client-friendly definitions: [document text].

Jargon-free alternatives

Give three plain-English ways to explain this financial term without jargon: [term].

Quarterly governance agenda

Create an agenda for a quarterly AI governance meeting in a UK financial-advice firm. Cover tools in use, risks, incidents, human oversight, suppliers, staff training and actions.

Useful alongside: AI Governance & Accountability Register

AI use-case record

Turn this description of an AI use case into a short governance record. Include purpose, users, data involved, human oversight, limitations, risks and actions: [description].

Useful alongside: AI Governance & Accountability Register

New tool approval questions

Create a list of questions to ask before approving a new AI tool for use in a financial-advice business.

Unanswered governance questions

Review this proposed AI use case and identify governance questions that remain unanswered: [description].

Human-oversight process

Create a simple human-oversight process for this AI-supported task, including who reviews output, what they check and when the AI must not be relied upon: [task].

Useful alongside: AI Human Oversight & Approval Register

Draft-only AI policy

Draft a short internal policy statement on using generative AI for drafting only, subject to human review.

Escalation checklist

Create a checklist to help staff decide whether a proposed AI use should be escalated for management review.

Review evidence

List possible evidence a firm could retain to show that an AI-assisted activity was reviewed by a human.

10-minute staff briefing

Create a 10-minute staff briefing on safe use of AI in a financial-advice firm. Cover confidentiality, human review, accuracy, bias and escalation.

Knowledge-check quiz

Write five short quiz questions for staff about safe use of AI, each with four answer options and an answer explanation.

Do-not-paste scenarios

Create three realistic scenarios where a staff member should not paste information into an AI tool.

Useful alongside: AI Client Data & Confidentiality Register

Spot the problem exercise

Create a short training exercise where staff spot potential problems in an AI-generated client email.

AI do and do not guide

Draft a one-page AI do and do not guide for financial-advice staff.

Training completion check

Create a checklist for a manager to use when confirming a staff member has completed AI-awareness training.

Why confident AI can be wrong

Write a short explanation of why an AI answer can sound convincing but still be inaccurate.

Team discussion questions

Create five discussion questions for a team meeting about responsible use of AI.

AI supplier questionnaire

Create a due-diligence questionnaire for an AI software supplier used by a UK financial-advice firm. Cover data handling, security, retention, training of models, access controls, accuracy, support and contractual terms.

Useful alongside: AI Client Data & Confidentiality Register

Supplier risk summary

Turn these supplier answers into a concise risk summary. Separate satisfactory points, gaps, unanswered questions and recommended follow-up: [answers].

Supplier-change checklist

Create a checklist for reviewing whether an existing AI supplier has changed its terms, privacy notice or product functionality.

Data-location questions

Draft questions to ask a supplier about where customer data is stored and whether it is used to train AI models.

Tool comparison template

Create a comparison table template for assessing three AI tools against privacy, security, cost, controls, support and suitability.

Privacy-statement questions

Review this supplier privacy statement and identify plain-English questions we should ask before using the service: [text].

Contractual checks

Create a list of contractual points a firm may want to check before subscribing to an AI tool.

Approval record template

Draft an internal record template for approving or declining an AI supplier.

Draft quality review

Review this draft for unsupported claims, factual uncertainty, unsuitable certainty, jargon, missing caveats and statements that require adviser approval: [text].

Useful alongside: AI Accuracy & Validation Register

Source comparison

Compare this AI-generated draft against the source material. List every statement that is unsupported, altered or missing: [draft] [source material].

Useful alongside: AI Accuracy & Validation Register

Before-send checklist

Create a human-review checklist for AI-assisted client communications before they are sent.

Useful alongside: AI Human Oversight & Approval Register

Claims needing verification

Identify factual claims in this text that need checking against an authoritative source: [text].

Make uncertainty clear

Rewrite this wording to make uncertainty clear without making it confusing: [text].

Wrong-detail check

Check this draft for accidental references to the wrong client, dates, products or assumptions: [text].

QA record

Create a quality-assurance record from this review. Include content reviewed, checks performed, issues found, corrections made, reviewer and date.

Reviewer questions

Suggest questions a reviewer should ask before approving an AI-generated internal document.

AI incident record

Turn this account of an AI-related issue into a neutral incident record. Include what happened, when, impact, immediate action, root cause to investigate and follow-up actions: [account].

Near-miss record

Create a near-miss record from these notes. Do not assign blame or invent facts: [notes].

Potential harms

Identify possible harms that could arise if this AI-generated output were used without human review: [output].

Useful alongside: AI Consumer Duty & Client Outcomes Register

AI risk assessment

Create a simple risk assessment for this AI use case. Include risk, possible impact, likelihood, controls, owner and review date: [use case].

Post-incident questions

Draft questions for a post-incident review after an AI tool produced inaccurate or inappropriate content.

Corrective-action tracker

Create a corrective-action tracker from this incident report, with action, owner, target date, progress and evidence of completion: [report].

Neutral incident language

Rewrite this incident description in neutral, factual language suitable for an internal governance record: [description].

Lessons learned

List lessons learned and preventative controls from this AI near miss, without claiming that future incidents are impossible: [near-miss details].