Most finance applications fall short not because the business is not good enough, but because the documents do not tell the story clearly. A lender looking at a disorganised application does not see potential. They see risk. Here is how to use AI to change that picture, in an afternoon.
There are three documents that give a lender a sharp, complete picture of your business. An assets and liabilities register. A commitment schedule. And a cash flow forecast. Together they answer the three questions every lender is really asking: what do you own, what do you owe, and what does the money actually do in your business?
Most business owners either do not have these documents at all, or have versions that are out of date, incomplete, or prepared by someone else without the business owner fully understanding what is in them. AI changes that. You do not need an accountant to produce a first draft of any of these. You need your own financial data and the right prompts.
What you own and what you owe. Tells the lender your net position and gives them confidence in the security behind the deal. Most business owners know this intuitively but have never written it down clearly.
What comes in and what goes out, every month. Tells the lender you understand your own numbers and that the repayment you are proposing is genuinely serviceable against your real cost base.
Where the cash is now, where it is going over the next 12 months, and why. Tells the lender you are running a business, not just reacting to one. This is the document that separates business owners who understand their position from those who do not.
Before we get into the how, one important point. AI is a tool for organising and presenting your information clearly. It does not make up numbers. It works with the data you give it. The quality of the output depends entirely on the quality of the data you bring. Garbage in, garbage out. Accurate data in, a compelling finance application out.
What You Need Before You Start
Gather these before you open any AI tool. The prompts below will not work properly without them.
From your bank: Log into your internet banking platform and download the last 12 months of transactions for your main trading account as a CSV or Excel file. Most banks offer this under transaction history or statements. This is the foundation of documents two and three.
From your accountant or accounting software: Your most recent balance sheet, even if it is six or twelve months old. This is the starting point for document one. You will update it with anything that has changed since.
From your own records: A list of any assets or liabilities not captured on the balance sheet. Equipment purchased recently. Personal assets being offered as security. Loans from directors or related parties. These need to be added manually.
That is it. Three sources. Everything else, AI handles.
The number of finance applications I have seen that are declined or offered worse terms simply because the business owner could not present their position clearly would surprise you. The business was sound. The numbers were there. But the lender was looking at a spreadsheet that had not been updated in eight months, a balance sheet that excluded three major assets, and a cash flow projection that was a single optimistic number with no supporting logic.
A lender cannot approve what they cannot understand. These three documents exist to make your position undeniable. AI makes building them faster than it has ever been.
Upload your most recent balance sheet to your AI tool of choice. Then list any assets or liabilities that are not captured there. Recent equipment purchases. Property values that have changed. Personal assets you are prepared to offer as security. Any informal loans or director liabilities. Tell the AI to organise everything into a clean assets and liabilities register sorted by category, with a net position calculated at the bottom.
Lenders use this document to assess your net worth and understand what is available as security. A clearly presented register signals that you know your position. A messy or incomplete one signals the opposite. The register also helps your broker structure the deal, because it shows what can be offered as security and what cannot.
I am preparing a finance application and need to build a clear assets and liabilities register. I am going to provide you with my balance sheet and a list of additional items not captured on it. Please organise everything into a professional assets and liabilities register with the following structure: ASSETS – Property (address, estimated current value, mortgage balance, net equity) – Vehicles (description, estimated value, finance owing) – Equipment (description, estimated value, finance owing) – Business assets (debtors, stock, cash, other) – Personal assets (if applicable) – Total Assets LIABILITIES – Mortgage / property loans (lender, balance, monthly repayment) – Equipment and vehicle finance (lender, balance, monthly repayment) – Business loans and facilities (lender, balance, monthly repayment) – Credit cards and overdrafts (lender, limit, balance) – ATO obligations (if any) – Other liabilities – Total Liabilities NET POSITION (Total Assets minus Total Liabilities) Here is my balance sheet: [paste or upload your balance sheet] Here are the additional items to include: [list them] Please present this as a clean, professional table. Flag any items where you need clarification from me.
Review every line. Update property values to current market estimates if the balance sheet figures are stale. Add anything the AI missed. Check the net position calculation. Then save it as a PDF. This document should be no more than one to two pages and should be updated every time you apply for finance.
Upload your 12 months of bank transactions to your AI tool. Ask it to categorise every outgoing payment into fixed costs (the same every month regardless of revenue) and variable costs (those that move with the business). Then ask it to build a monthly commitment schedule showing your average income, your fixed commitments, your variable costs, and your net monthly surplus or deficit.
This document answers the question lenders most want answered but rarely ask directly: can this business actually service a new repayment? A commitment schedule that shows a clear monthly surplus above the proposed repayment is one of the most persuasive things you can put in front of a lender. It removes the guesswork from their assessment and replaces it with evidence.
I am going to provide you with 12 months of bank transactions from my business trading account. I need you to build a commitment schedule that I can use as part of a finance application. Please do the following: 1. Identify all income sources and calculate the average monthly income over the 12-month period. Note any significant fluctuations and explain them briefly. 2. Categorise all outgoing payments into: FIXED COSTS (consistent every month regardless of revenue) – rent, insurance, subscriptions, loan repayments, permanent wages VARIABLE COSTS (fluctuate with business activity) – materials, contractor costs, fuel, casual labour, marketing 3. Build a monthly commitment schedule table showing: average monthly income, total fixed costs, total variable costs (average), total commitments, net monthly surplus / deficit. 4. List all existing loan and finance repayments separately so a lender can see the current debt servicing position clearly. 5. Flag any payments that are irregular or that you cannot categorise clearly so I can clarify them. Here are my 12 months of transactions: [paste CSV data or describe key figures] Present the output as a clean table I can save and share with a lender or broker.
Check the categorisation. AI will occasionally miscategorise a payment. Anything flagged as unclear, clarify and rerun. The final schedule should be a living document you update quarterly. It is also an incredibly useful tool for understanding your own business, separate from any finance application.
Using the commitment schedule you just built, ask AI to project your cash flow position forward 12 months. The projection should be based on your actual trading trend over the past 12 months, adjusted for any known changes: a new contract, a planned hire, a seasonal dip, the new finance facility you are applying for. This is not guesswork. It is a data-informed forecast.
Most business owners present their past financials and hope the lender extrapolates forward positively. A cash flow forecast takes that work away from the lender and does it for them, on your terms. It shows you understand where the business is going, not just where it has been. It also shows where the proposed repayment fits within the projected cash position, which is the single most persuasive thing you can demonstrate.
Using the commitment schedule we built together, I need you to produce a 12-month cash flow forecast for my business. Please structure the forecast as follows: OPENING POSITION – Current cash balance: [insert figure] – Outstanding debtors (money owed to us): [insert figure] – Outstanding creditors (money we owe): [insert figure] MONTHLY FORECAST (repeat for each of the next 12 months) – Projected income (based on 12-month trend, adjusted for any known changes I will describe) – Fixed costs / Variable costs / Existing loan repayments – Proposed new facility repayment: [insert proposed monthly repayment] – Net cash movement for the month / Closing cash balance ASSUMPTIONS – list every assumption you have made so I can review and adjust them. Known adjustments to apply: [Describe anything you know is changing: new contract starting, planned hire, seasonal period, equipment purchase, etc.] At the end, summarise: the lowest cash point during the forecast period and when it occurs; the average monthly surplus after all commitments including the proposed new repayment; any months where cash position looks tight and what would need to be true for those months to be manageable.
Read the assumptions section carefully. This is where most forecasts go wrong. Unrealistic revenue growth, costs that do not reflect reality, or seasonal patterns that have not been accounted for. Adjust the inputs and rerun until the forecast reflects what you genuinely believe will happen, not what you hope will happen. A conservative forecast that proves right is far more valuable than an optimistic one that does not.
I use Claude as my preferred AI tool for this kind of structured financial analysis. It handles tables, categorisation, and multi-step prompts particularly well. That said, ChatGPT and other tools will produce solid results from the same prompts. The tool matters less than the quality of the data you bring to it.
The Questions to Ask Before You Book a Finance Meeting
You have the three documents. Before you call your broker or walk into a bank, run through these questions. They will tell you whether you are ready, and they will make the conversation significantly more productive if you can answer them clearly.
What am I trying to achieve with this finance, and in what timeframe?
What is my net position after completing the assets and liabilities register? Am I stronger or weaker than I thought?
What is my monthly surplus after fixed and variable costs? Does it comfortably cover the repayment I am proposing?
Where is the repayment coming from specifically? Which contract, which client, which revenue stream?
What is my ATO position? Are lodgements current and are any payment arrangements being met?
Have I applied for finance elsewhere recently? How many credit enquiries are on my file?
What is the lowest point in my 12-month cash flow forecast and how would I manage it?
What does my business look like in 12 months if this finance works the way I expect it to?
These questions are not just for the lender. They are for you. A business owner who can answer all eight of them clearly is in a completely different position to one who cannot. The documents you have just built make most of them answerable in minutes.
One Thing AI Cannot Do
It cannot tell you which product is right for your situation, which lender is appropriate for your credit profile, or how to structure a deal that works in your favour both now and in 12 months’ time.
That is what a commercial broker is for. The documents you have built are the foundation. The strategy that sits on top of them requires someone who knows the lender market, understands how credit files are read, and has seen enough deals to know where the risks are before they become problems.
Bring your three documents to that conversation. You will get a more specific, more useful, and more honest answer than you would walking in empty-handed.
Frequently Asked Questions
Major AI platforms including Claude and ChatGPT have privacy settings that prevent your data from being used to train future models when you opt out of data sharing, which you can do in account settings. That said, do not upload documents containing full account numbers, tax file numbers, or personal identification details. Summarise or redact sensitive identifiers before uploading. The transaction categories and amounts are what the AI needs, not the account details themselves.
No. Copy the prompt, paste it into your AI tool, then paste or describe your financial data below it. The prompts are written to be self-contained instructions. If the AI asks a clarifying question, answer it and it will continue. If the output is not quite right, tell it what to change. You do not need any technical skills beyond being able to copy, paste, and describe your business clearly.
As accurate as the data you provide. AI organises, categorises, and calculates. It does not invent figures. If your transaction data is complete and your balance sheet is current, the documents will be accurate. Review every output before you use it. AI occasionally miscategorises transactions or makes assumptions you need to correct. The review step is not optional.
Yes, as a starting point. For straightforward applications, a well-reviewed AI-generated document is entirely appropriate. For more complex deals, larger facilities, or applications where the numbers need to be presented in a specific lender format, your accountant or broker may refine them further. The value of doing this yourself first is that you understand what is in them, which makes every subsequent conversation more productive.
I use Claude for structured financial analysis tasks. It handles multi-step prompts, table formatting, and logical consistency particularly well. ChatGPT is also excellent and more widely familiar. Either will produce strong results from the prompts in this article. The most important thing is consistency: use the same tool throughout so the documents have a coherent format when you put them together.
You have built the documents. Now let’s talk strategy.
Bring your three documents to a free strategy call and we will tell you exactly where you stand, which product fits your situation, and what your options actually are.
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