Home · Business · Product & Strategy · Business planning

PARTLY

As of 13 August 2026, AI can only partly compare pricing models for your UK business.

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 a spreadsheet with built-in AI analysis and live data connections, but no price is provided here.

If this goes wrong: you choose a pricing structure that reduces margin, confuses customers or creates avoidable billing and tax work.

What to actually do

  1. 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.

  2. Use a tool built for this

    Second choice

  3. Do it yourself

    The distant third

    A chat interface, chat-fluent skill, and roughly 30 minutes until you can act on the result.

    How to actually do it

    1. Open your current price list, invoices or sales system and collect each offer, price, billing frequency, discount, refund rule and relevant delivery cost.
    2. Gather recent sales volumes, customer types, cancellations, usage levels and any customer research that bears on willingness to pay.
    3. Open verified competitor pages or quotations and paste the relevant pricing evidence into the prompt, keeping the source link beside each figure.
    4. Paste the business facts, objectives and constraints into the prompt and ask the model to compare only the pricing models that fit how you deliver the product.
    5. Export or copy the scenario table into a spreadsheet and check every formula against your own prices, costs, volumes and margin assumptions.
    6. Ask the model to produce a short list of unsupported assumptions and missing evidence, then mark each item as verified, unknown or unsuitable for decision-making.
    7. Test the preferred model with a small group of existing or prospective customers, compare their responses and buying behaviour with the model's assumptions, and ask an accountant or solicitor about any tax or contract point before implementation.

    Prompt

    Compare the pricing models for my UK business using only the information I provide and clearly label every assumption. Business: [describe what you sell and to whom]. Current pricing: [paste prices, packages, discounts and billing terms]. Direct costs per sale or customer: [paste figures]. Fixed costs relevant to delivery: [paste figures]. Sales volume and customer mix: [paste figures]. Customer buying behaviour or research: [paste evidence]. Competitor pricing: [paste verified sources or figures, with links if available]. Objectives: [for example, improve gross margin, make buying simpler, increase recurring revenue or reduce sales friction]. Constraints: [cash flow, capacity, contracts, VAT treatment, billing systems, minimum margin or other limits]. Compare these models where relevant: one-off purchase, subscription, usage-based, tiered, freemium, seat-based and outcome-based. For each suitable model, show the mechanics, who pays what, advantages, disadvantages, operational implications, risks, and the information still missing. Create a simple scenario table using my figures only. Do not invent market research, customer willingness to pay, competitor facts, tax treatment or legal conclusions. Do not recommend a model solely because it increases revenue. Finish with a provisional recommendation, the conditions that would change it, and a small test I could run before changing prices. State that this is not professional advice where tax, accounting or contractual issues arise.

    Open it prefilled in ChatGPT or Claude, or copy it into Gemini, which takes no prefill link.

What it gets wrong

  • AI cannot know what your customers will tolerate or whether a stated willingness to pay will become a completed purchase.
  • It cannot replace a clean cost model when your figures are incomplete, mixed between products or affected by staff time and overheads.
  • It cannot verify competitor pricing that is hidden behind sales calls, negotiated discounts or changing terms.
  • It cannot take responsibility for margin, cash flow, VAT treatment, consumer terms or the commercial consequences of changing prices.
  • It cannot run the customer test or decide how much evidence is enough to change a live price.

What caps this at PARTLY: judgement under ambiguity, verification cost and stakes of error.

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.

AxisScore (0–2)
Output2
Inputs1
Verification1
Liability1
Effort delta2
Total7 / 10

The methodology and its thresholds are published in full.

FAQ

Can ChatGPT compare different pricing models for my business?
Yes, it can compare models such as subscriptions, tiers, usage-based pricing and one-off purchases using your figures. The result is a decision aid, not proof that customers will accept the proposed price.
What information does AI need to compare pricing models?
Give it your current prices, direct and fixed costs, sales volumes, customer types, discounts, billing constraints, objectives and verified competitor evidence. Include customer research where you have it, and label unknown figures instead of asking the model to fill them in.
Can AI tell me which pricing model is best?
It can make a provisional recommendation against criteria you provide, such as margin, simplicity, recurring revenue or cash flow. You still need to test customer response and check accounting, VAT and contract implications before adopting it.
Is AI pricing advice safe for a UK business?
It is useful for structuring options and exposing assumptions, but it can produce confident conclusions from weak or incomplete data. This is not professional advice, so ask an accountant about tax and VAT points and a solicitor about contracts or consumer terms.

Nearby answers

All Business planning rulings

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.

The newsletter

AI news, new answers and product picks, straight to your inbox.