AI for Finance Professionals

Finance work produces a steady stream of writing around the numbers: report narratives, client summaries, board slides, and explanations that make a complex position clear to someone who does not live in spreadsheets. That writing is where AI helps most. A caution about data comes first.

Important Note

Do not paste non-public financial information, client account details, or material non-public information (MNPI) into consumer AI tools. Always check your organization’s AI and data privacy policies before using AI with financial data.

Where AI Helps Finance Professionals Most

Financial Report Narratives

AI is excellent at turning numbers into well-written narrative commentary.

Prompt to try:

Write a management commentary section for a [quarterly / annual] financial report.

Key financial results (I'll provide the numbers, not for analysis — just for reference in the narrative):
- Revenue: [X] vs prior period [Y] — [up/down Z%]
- EBITDA: [X] margin [Y%]
- Key variance drivers: [describe]
- Outlook: [brief description]

Tone: professional, clear, and factual. Suitable for the board/investors.
Length: 3-4 paragraphs. Avoid jargon where possible.
Do not invent numbers or projections — write from what I've provided only.

Client Communication Letters

Prompt to try:

Write a client letter explaining [financial situation / recommendation / market update].

Client context: [individual / institutional, brief background]
What I need to communicate: [the substance — in plain terms]
Key message: [the main point]
Recommended action (if any): [what you're recommending]
Disclaimers needed: [note: I will add standard required disclosures]

Tone: professional, clear, and reassuring — not overly technical.
Translate financial concepts into plain language where needed.
Under 300 words.

Executive Presentations

Prompt to try:

Write slide content for a [budget review / quarterly business review / investment committee] presentation.

Purpose: [what decision or review this supports]
Key messages I need to convey: [list 3-4]
Audience: [CFO / board / investment committee / senior management]

For each key message, provide:
- Slide title
- 3 bullet points (under 10 words each)
- Speaker note with 2-3 sentences of context to say aloud

Keep slides lean — the detail is in the speaker notes.

Explaining Financial Concepts

AI excels at translating complex financial concepts into plain language, for clients, board members, or non-finance colleagues.

Prompt to try:

Explain [financial concept] in plain language for [audience — e.g., a small business owner / board member with no finance background / an employee].

Avoid jargon. Use an analogy if it helps.
Keep it under 150 words.
Follow with: one practical example of why this matters to them.

Budget Commentary and Variance Analysis Narratives

Prompt to try:

Write budget variance commentary for a finance report.

Department/entity: [name]
Period: [month/quarter]

Variances to explain (describe each in plain terms — I'll review for accuracy):
- [Variance 1]: [X over/under budget — reason in plain terms]
- [Variance 2]: [X over/under budget — reason]
- [Variance 3]: [X over/under budget — reason]

Tone: factual and clear. Format as brief narrative paragraphs under each variance.
This will be reviewed and verified before inclusion in any report.

Meeting Notes and Action Items

Prompt to try:

Convert these finance meeting notes into a structured summary.

Raw notes: [paste notes]

Format as:
- Key decisions made
- Action items (task, owner, deadline)
- Open items requiring follow-up
- Risk or issues flagged

Investment Memo Structure

Prompt to try:

Create the structure for an investment memo on [investment opportunity or topic].

Purpose: [what decision this memo supports]
Audience: [investment committee / partners / leadership]

Provide the memo structure with:
- Section headings
- What each section should cover (2-3 bullet points of guidance)
- Length guidance per section

I'll write the substantive content — give me the professional structure to work from.

Mistakes to Avoid

Don’t paste client financial data into consumer AI tools. This is a compliance and data security risk. Use AI for structure and language; keep specific client data out of it.

Don’t let AI invent financial figures. AI will sometimes generate plausible-sounding but fabricated numbers if prompted loosely. Always provide the numbers yourself and instruct AI to write from what you give it only.

Don’t skip the compliance review. Client-facing financial communications often have regulatory requirements. AI drafts need review by compliance before being sent to clients.