A Step-by-Step Guide to Reviewing Your Personal Finances with AI

ChatGPT, Claude, and Hermes can audit your spending, flag forgotten subscriptions, and build a budget in minutes. Here is exactly how to use them, with prompts you can copy and paste.

What AI Can Actually Do for Your Money

In June 2026, OpenAI launched Finances inside ChatGPT for Plus and Pro users in the US. You connect bank accounts through Plaid, and ChatGPT categorises your transactions, tracks subscriptions, and answers questions like “has my spending changed recently?” Anthropic is building a similar “Money” tab directly into Claude. Both approaches read your actual transaction data instead of relying on you to manually enter categories.

But you do not need a connected account to get value. Exporting three months of transactions as a CSV and uploading them to ChatGPT or Claude works immediately. The AI will identify recurring charges, surface spending patterns, and build a budget , all without linking anything to your bank.

Which AI Tool Should You Use

**ChatGPT Plus ($20/month)**: best for everyday money questions, the largest plugin ecosystem, and the newly launched Finances feature with Plaid account connections. Slightly better at suggesting specific dollar targets for budgets.

**Claude Pro ($20/month)**: best for nuanced reasoning, reading long financial documents like plan disclosures or tax forms, and summarising complex spreadsheets. Its longer context window keeps every line item in view.

**Hermes Agent**: if you want automation. Hermes is self-hosted and runs scheduled cron jobs. It can query your financial spreadsheets, cross-reference data, and post summaries to your phone every morning. One user tracks 50 dividend ETFs this way.

None of these are licensed financial advisors. They are analysis tools, not fiduciaries.

Step 1: Prepare Your Data

Export your transaction history from your bank or card provider as a CSV. Most banks support this in their statements section. Remove columns you do not need to share: account numbers, counterparty account details, anything you would not put in an email. Label refunds and transfers clearly so they do not distort spending totals.

You can use a spreadsheet if you prefer. Both Claude and ChatGPT work with structured tables maintained in Excel or Google Sheets.

Step 2: Subscription Audit

This is the single highest-value use case. Most people pay for at least two subscriptions they barely use.

**Copy this prompt into ChatGPT or Claude:**

I want to audit my subscription stack. Here are all my active subscriptions:

[List each one: name, monthly cost, billing frequency, how often you use it (daily/weekly/monthly/rarely), what it gives you]

Total monthly cost: [sum].

>

Help me:

1. Calculate the annual cost of this stack

2. Identify subscriptions I am paying for but barely using

3. Find overlapping services (for example, two streaming services I could consolidate)

4. Rate each subscription by cost-per-use

5. Suggest which to cancel, which to downgrade to a cheaper tier, and which to keep

6. Calculate my annual savings from the recommended changes

**Alternative prompt for a deeper audit:**

Audit my subscription and recurring charge stack against my take-home income of [amount] and a savings rate target of [percentage].

Tag each subscription as essential, important, or discretionary.

Flag any zombie subscriptions (unused for more than 30 days).

Identify any duplicate or overlapping services.

Show the monthly and annual cost of everything in the discretionary and unnecessary tiers.

Give me a one-page action plan for what to cancel this week.

**Common waste areas:** streaming services, gym memberships you rarely use, software trials that converted to paid plans, news subscriptions, multiple cloud storage tools, duplicate music platforms.

Step 3: Build a Realistic Budget

Once categories are stable, use the AI to draft a budget aligned with your actual behaviour rather than a generic template.

**Copy this prompt:**

I take home [amount] per month after tax. My fixed costs are: [list rent, utilities, insurance, minimum debt payments]. Build me a monthly budget using the 50/30/20 rule: 50 percent needs, 30 percent wants, 20 percent savings and debt payoff. Show how much is left for savings after needs and wants. Include overspending flags and weekly allowances for discretionary categories.

**For a spending review from your actual data:**

Here are my last month’s expenses: [paste categories with amounts]. My income: [amount].

Analyse:

1. Categorise every expense as fixed necessary, variable necessary, discretionary, or wasteful

2. Calculate what percentage of my income goes to each category

3. Identify subscriptions I might have forgotten about or rarely use

4. Find the top three leaks, specifically recurring small expenses that add up

5. Compare my spending to recommended percentages for my income level

6. Create a painless cuts list, specifically things I could reduce without significantly affecting my quality of life, with monthly and annual savings for each

Step 4: Review Spending Patterns Over Time

If you have several months of data, ask the AI to spot trends that single-month reviews miss.

**Copy this prompt:**

Using at least three months of transaction history, compare my spending by category for each month. Build a table with each category, monthly totals, and the month-over-month percentage change. Highlight any category where my spending has grown more than 20 percent versus my three-month average. For each highlighted category, suggest two specific practical changes I could make.

**For seasonal planning:**

Look at the last twelve months of my transactions. Identify recurring seasonal patterns, specifically higher spending around holidays, summer travel, back-to-school. Separately, identify one-time spikes such as medical bills or car repairs. For each seasonal pattern, tell me what predictable cost I should plan for in next year’s budget and how much to set aside monthly as a sinking fund.

Step 5: Mortgage and Refinance Analysis

If you have a mortgage, AI can model refinance scenarios and extra principal payment strategies.

**Copy this prompt:**

Model the impact of refinancing my mortgage. My current loan details:

– Balance: [amount]

– Current rate: [rate] percent

– Remaining term: [years] years

– Current monthly principal and interest: $[amount]

>

Compare staying at my current rate versus refinancing to a hypothetical rate of [new rate] percent.

Calculate:

1. Monthly payment savings (new P&I minus current P&I)

2. Simple breakeven in months (closing costs divided by monthly savings)

3. Total interest paid on current loan if held to maturity versus the new loan

4. Whether resetting the amortisation clock makes sense

>

Present as a plain-English summary. Note that this ignores tax deductibility, opportunity cost of cash used at closing, and any prepayment penalty. Remind me to consult a tax professional on any deduction impact.

**For extra principal payments:**

Model the impact of adding [amount] per month in extra principal payments to my mortgage. Show:

1. How many months the loan term is shortened

2. Total interest saved over the life of the loan

3. The point at which the extra payments stop having a meaningful impact on the timeline

>

Compare three scenarios: $200, $500, and $1000 per month extra.

Step 6: Set Up a Repeatable Monthly Review

The real power comes from making this a habit, not a one-time exercise.

**Weekly:** Paste that week’s spending and compare against budget. Keep the answer under 150 words.

**Monthly:** Export full month of transactions, run the categorisation and leak-finding prompts, review variances against budget.

**Quarterly:** Update net worth statement, review subscription stack, check insurance coverage, update financial goals progress.

If you use Hermes Agent, you can automate this. Schedule a cron job to run the same prompts against your latest CSV every first of the month and deliver the results as a message. The agent learns from your corrections, improving accuracy over time.

Security and Privacy

• Use tokenised aggregators like Plaid or Yodlee. Never share login passwords directly with third-party apps
• Grant granular permissions. Does your budgeting app need investment holdings? If not, deny access
• When uploading CSVs, remove account numbers, counterparty details, and anything you would not put in an email
• Mask sensitive details where possible
• Label refunds and transfers clearly so they do not distort totals
• Enable two-factor authentication on all financial platforms

What AI Cannot Do

AI assistants are analysis tools, not licensed financial advisors. They have no fiduciary duty and no legal accountability for guidance they provide. They cannot give personalised investment advice, tax advice, or estate planning guidance. They will miscalculate sometimes, especially with ambiguous transaction descriptions. Always verify their output against actual statements before acting on it.

Use AI as a second pair of eyes, a pattern-spotter, and a conversation partner about your money. But the final decisions remain yours.

The best financial AI tool is the one you actually use every month. Start with a subscription audit this week. It takes ten minutes to paste a list and get a report back showing what to cancel. That single step pays for the subscription cost of whichever AI tool you choose.

Related Reading

• OpenAI: A New Personal Finance Experience in ChatGPT | The official launch announcement and setup guide
• Best AI Personal Finance Tools (2026) | Side-by-side comparison of ChatGPT, Claude, Copilot, and dedicated apps
• ChatGPT vs Claude vs Gemini vs Copilot for Personal Finance | Head-to-head testing with identical prompts
• 35 ChatGPT Finance Prompts | Free to Copy & Paste | The largest collection of ready-to-use prompts

Sources

Analysis powered by NotebookLM research notebook (ID: 133c09b2-e6c8-4096-bde8-851d05103268). Sources include OpenAI’s official Finances documentation, Dupple’s tool comparison, Spendify’s head-to-head testing, prompt libraries from Techpresso Academy and God of Prompt, mortgage analysis guides from Truthifi and PromptSpace, and Hermes Agent documentation from Nous Research. All prompts are generic templates. No personal financial information is included or required.