As of 13 August 2026, AI can only partly choose a revenue model for your UK business.

What to actually do

1. Use a tool built for this

   The route this page recommends

2. Do it yourself

   Second choice

   A chat interface, chat-fluent skill, and roughly 1 hour until you can act on the result.

   How to actually do it

   1. Open your current accounts, sales records, price list and delivery-cost records, then gather the figures that describe revenue, volume, margin and acquisition cost.
   2. Write down the customer groups you serve, how they currently buy, what problem they pay you to solve and any feedback about pricing or payment frequency.
   3. Collect evidence from completed sales, lost deals, customer interviews, surveys, pilots and relevant competitor pages, and label each item with its source and date.
   4. Paste the business description, figures, constraints, goals and evidence into the prompt, replacing every bracketed slot and removing anything you do not know.
   5. Ask the model to compare the relevant revenue models and produce the decision memo, then export the tables or calculations into a spreadsheet you can inspect.
   6. Compare every stated figure and derived formula against your records, and mark unsupported claims about demand, competitors or willingness to pay as unverified.
   7. Run the proposed customer or pricing tests with real prospects, record the results, and update the comparison before choosing a model and changing your price list or contracts.

   Prompt

   Help me choose a revenue model for my UK business. Do not make the decision for me and do not invent market evidence, customer demand, costs or competitor facts.
   
   Business: [describe what we sell, to whom, and how it is delivered]
   Current customers or users: [describe them and how they buy]
   Existing revenue model, if any: [describe it]
   Relevant figures: [paste revenue, prices, volumes, gross margin, delivery costs, acquisition costs and other figures, with periods and currencies]
   Constraints: [cash, capacity, regulation, contracts, sales cycle, technology and other limits]
   Goals: [for example predictable revenue, faster growth, high margin or low operational complexity]
   Evidence from customers or the market: [paste interviews, surveys, sales results, experiments or source links]
   
   Compare the most plausible models, including one-off sales, subscriptions, usage-based pricing, transaction fees, licensing, services and a free or paid tier only where relevant. For each option, explain the customer payment trigger, required capabilities, operational implications, likely risks, useful metrics and what evidence is missing. Build a transparent comparison using only the figures and evidence I provide. Show formulas and label every assumption as either provided, derived or unverified. Identify which conclusions would change if each important assumption were wrong. Recommend the next two low-cost tests that would distinguish the strongest options, but do not claim that a test proves demand before it is run. Finish with a short decision memo stating the leading option, the reasons for it, the unresolved questions and the decision I still need to make. Keep UK spelling and pounds where figures are supplied.

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

3. Hand it to a person

   The distant third

   A person who owns the outcome does this end to end, worth it when the failure is dear.