An AI business plan: problem, offer, system and validation

The first section describes a familiar difficulty: saving videos, comparing businesses and copying what seems to work creates a feeling of activity. Yet you may end up with many references and no decision about whom you want to help. Seeing an offer from outside does not reveal all the resources and conditions supporting it.

Start with a problem you can describe without mentioning a tool. Explain who encounters it, when it appears and what the person is trying to do. Then separate what you know from experience from remaining assumptions. That distinction shows what needs investigating before building.

As an editorial exercise, use this sentence: 'I want to help someone who needs to perform this task and encounters this difficulty.' If you cannot complete it specifically, narrow the field. You do not need a unique idea; you need enough understanding of the situation you want to work on.

In the masterclass, I distinguish an attractive idea from an offer someone can buy. To approach the latter, explain what the client receives and how work begins. If the explanation is endless, the offer may still mix too many problems or outcomes.

Define a first delivery you can verify. For automation, it might be a limited journey with inputs, outputs and review. For training, a defined learning outcome with practice. In either case, avoid promising a transformation dependent on factors outside your control.

Write down what is included, what the client must contribute and what is excluded. This sheet does not replace contractual agreements, but it helps you bring an understandable offer to a conversation. It also reveals whether you need more capacity or knowledge before offering it.

The class stresses that a system is not simply a collection of applications. It means understanding what happens from initial interest to the result and subsequent support. If those steps rely on improvisation every time, adding tools can amplify confusion.

Draw acquisition, first conversation, preparation, delivery and follow-up review. Under each step, write who acts, which information they need and what demonstrates completion. Mark where a request might wait or get lost.

The map helps repeat what works and recognise how cases differ. Do not assume one foundation serves every company unchanged. Permissions, data and exceptions may require substantial changes to the journey.

Another part distinguishes a broad subject from a specific context. Programming, sport or AI may be too broad for a first offer. Choosing a field helps identify questions and examples the listener recognises.

Observe how people describe the problem without tool terminology. They might mention missed appointments, duplicate information or hard-to-track orders. That description brings you closer to the actual task and avoids presenting technology as the client's objective.

The class also compares providing services and teaching. They are different possibilities with different delivery requirements. You do not need to launch both together. Choose one, learn from early cases and later assess whether a coherent second offer exists.

In the video, I explain that congratulations or liking an idea do not confirm demand. Observing other businesses gives references but does not prove your offer will find clients under the same conditions. You need information from the people you want to serve.

Prepare conversations about the current process, previous attempts and what needs to change. Avoid seeking only confirmation of your idea. A specific objection may help reduce scope or reveal that the chosen problem is not a priority.

A usability test, a proposal request and a purchase provide different signals. Record what actually happened and what remains interpretation. No response does not explain its own cause either: message, timing, channel or lack of fit may all matter.

The value ladder occupies another section. The example connects free content, an initial solution and formats with more support. The relationship should make sense through client needs, not merely increasing prices.

Each level must be useful independently. Some people will solve their problem with a guide; others need personalised work. Nobody is obliged to pass through every level, and your business does not need an extensive ladder from day one.

Before adding an offer, estimate the work involved. A reusable product and an individual session consume resources differently. Whiteboard financial simulations help explore scenarios but are not verified conversion rates or guaranteed income.

To find initial clients, I suggest reviewing existing relationships and contacts where a relevant need may exist. That does not mean sending the same offer to every contact. A conversation makes more sense when you can explain why you thought of the person and listen for fit.

Prepare a brief description of what you are building and ask for space to understand their situation. Do not assume a personal relationship creates an obligation to buy. If it is irrelevant or they do not want to continue, respect that and use the learning to improve the proposal.

In a sales conversation, discovery comes before presenting every feature. Ask what happens today and which change is wanted. You can then explain a concrete delivery and its requirements without turning estimated savings or income into promises.

As an editorial application of the plan, divide work into three blocks: understand the problem, test a delivery and review how to repeat it. Put them in your calendar, but advance according to what you have verified. A new month does not resolve a pending hypothesis.

In the first block, explain whom you help and what conversations taught you. In the second, show a clearly scoped test and usage feedback. In the third, document delivery, limits and necessary corrections before accepting more work.

Keep a short list of decisions and another of questions. Review them after each test. If an idea does not fit, changing direction can be a useful conclusion. The masterclass aims to help you build thoughtfully, not oblige you to maintain an offer because you have already invested time in it.