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As of 13 August 2026, AI can only partly choose invoice payment terms.
This still needs a person who signs their name to it.
Can you do it?
5 minutesto a draft.
30 minutesto something you’d act on.
Cost, all in£0
Skill neededchat-fluent
Who has to check ityou
What the alternative costsRows is an AI spreadsheet with built-in analysis and live data connections.
If this goes wrong: weak terms can delay cash, create a dispute or make a valuable customer take their business elsewhere.
What to actually do
Hand it to a person
The route this page recommends
A person who owns the outcome does this end to end, worth it when the failure is dear.
Use a tool built for this
Second choiceDo it yourself
The distant thirdA chat interface, chat-fluent skill, and roughly 30 minutes until you can act on the result.
How to actually do it
- Open your current invoice template, standard terms and customer contract, and copy the payment wording into a working document.
- Gather your cash-flow forecast, recent payment history, typical invoice values, customer type, order frequency and any known procurement approval requirements.
- Paste those facts into the prompt, replacing each bracketed slot and removing information you do not know rather than guessing.
- Ask the model to compare your current terms with options such as payment on receipt, a fixed period, a deposit or staged billing, where those options fit your business.
- Compare each proposed term against your cash-flow forecast, customer history, contract and current invoice wording, correcting any factual mismatch.
- Check the relevant payment and late-payment guidance on GOV.UK, then ask an accountant or solicitor to check the wording where the amount, contract, dispute risk or customer relationship is significant.
- Choose the option you can apply consistently, update the approved invoice template and send the final wording to the person responsible for issuing invoices.
Prompt
Help me choose invoice payment terms for a UK business. This is not professional advice. Do not invent facts, legal rules, customer credit information or figures. If information is missing, identify it and show how the recommendation changes. Business details: - Business type and sector: [insert] - What we sell and when we normally invoice: [insert] - Current standard payment terms: [insert] - Desired cash-flow position: [insert] - Costs or risks caused by waiting for payment: [insert] - Whether deposits, staged billing, retainers or payment on delivery are possible: [insert] - Any existing contract or published terms that apply: [paste or describe] Customer details: - Customer type and location: [insert] - New or existing customer: [insert] - Relevant payment history: [insert] - Order value and expected repeat business: [insert] - Any known credit, procurement or approval constraints: [insert] Produce: 1. Three realistic payment-term options, including the current terms if supplied. 2. For each option, explain the effect on cash flow, customer friction, administration and late-payment risk. 3. State which option you recommend and the facts supporting it. 4. Give a simple decision rule for when to use each option with future customers. 5. List the assumptions and missing information that could change the recommendation. 6. Draft plain UK wording for the invoice terms, without claiming that it is a complete contract or giving legal advice. 7. Flag any point that should be checked with an accountant or solicitor, especially contractual, statutory interest, late-payment or cross-border issues. Keep the recommendation separate from facts and assumptions.
Open it prefilled in ChatGPT or Claude, or copy it into Gemini, which takes no prefill link.
What it gets wrong
- Cannot know whether a particular customer will accept shorter terms or quietly move to another supplier.
- Cannot independently verify a customer's creditworthiness, procurement process or ability to pay.
- Cannot decide how much relationship value you should exchange for faster cash.
- Cannot confirm that the wording fits every existing contract, sector rule or cross-border arrangement.
- Cannot carry the loss if the terms cause late payment, a dispute or lost business.
What caps this at PARTLY: judgement under ambiguity, stakes of error and legal accountability.
How we scored this
Five axes, each scored nought to two by hand: ten means AI carries the task cleanly, and the thresholds that turn a total into YES, PARTLY or NO are published in the methodology. Each axis name links to its definition.
| Axis | Score (0–2) |
|---|---|
| Output | 2 |
| Inputs | 1 |
| Verification | 1 |
| Liability | 1 |
| Effort delta | 2 |
| Total | 7 / 10 |
The methodology and its thresholds are published in full.
FAQ
- Can ChatGPT recommend payment terms for my invoices?
- Partly. It can compare options using your cash-flow needs, customer history and existing policy, but you must supply reliable facts and make the commercial decision. This is not professional advice, and a serious or disputed case needs an accountant or solicitor.
- What information should I give AI to choose payment terms?
- Give it your current terms, invoice values, cash-flow constraints, customer type, payment history, order pattern and any contract or procurement requirements. Do not paste unnecessary personal or confidential data, and mark anything uncertain instead of letting the model fill the gap.
- Can AI decide whether I should ask for a deposit?
- It can compare a deposit with other options and explain the likely effects on cash flow, administration and customer friction. It cannot know whether a specific customer will accept one or whether your contract and sector make the wording suitable.
- Do I need an accountant or solicitor to check my invoice terms?
- Not every routine change needs professional review, but this is not professional advice. Ask an accountant or solicitor to check significant amounts, disputed debts, unusual contracts, cross-border customers or terms that rely on statutory interest or late-payment rights.
Nearby answers
Assessed by gpt-5.6-luna (gpt-5.6-luna) on 2026-08-13, second-checked by an independent model. Wrong somewhere? Email [email protected] and it gets re-checked.
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