From Idea to Action: How to Turn AI Advice into a Business Decision

Niko Tevdorashvili

5 days ago

5 min read

Updated: 3 days ago

AI advice becomes a decision when it goes through a path: idea, business method, AI, checking and action. Below, that path is broken into 7 steps, each with its own prompt, shown on one example: should a neighbourhood bakery raise its prices?

Most small businesses get stuck with AI in the same place. The owner asks a question, gets a polished answer and stops there. The answer stays an idea. This path exists to turn the idea into a checked step.

What does "from idea to action" mean?

It is Azrioni's working chain, with five links:

Idea: your question and the decision you need to make.
Business method: the frame you look at the question through. A pricing question needs one method; winning new customers needs another.
AI: organises the material, suggests options and asks you questions.
Checking: sources, a second AI as critic, and your own check.
Action: a decision and a small first step whose result you measure.

AI is only one link. Hand it the whole chain and you get a generic answer. Use it in its place and hours of work take minutes, while the decision stays yours.

The example: should I raise my prices?

A neighbourhood bakery. Flour and butter got more expensive, and the owner is wondering whether to raise prices for bread and pastries. The fear: regulars will switch to the shop next door. Below we show the logic and the prompts. Working through the numbers is part of our course; here we focus on the path.

Step 1. Frame the question (idea)

What to do: write what you need to decide and between which options. "How do I increase profit?" is too broad. "Should I raise prices from November, and on which products?" points to a decision.

I need to decide whether to raise prices from November. Options: don't raise, raise on everything, raise only on some products. Help me sharpen the question: what do I need to know to decide this?

Why: a precise question gets a precise answer. Listing options forces the AI to compare rather than just list ideas.

Check: the question contains the word "decide" and at least two options.

Step 2. Give business context and material (business method)

What to do: describe the business and situation, add your material, and tell the AI which frame to use.

My business: a neighbourhood bakery; most customers are local residents. Situation: flour and butter prices went up. Material: attached is my product list with prices and the last 3 months of sales. Don't answer yet. List the factors you would weigh in a pricing decision and tell me which data I'm missing.

Why: the AI has never seen your numbers or customers. A business-method frame turns the answer from a list into an analysis.

Check: the factors are about your business (local regulars, morning bread), not "any company". If you haven't described your business yet, start with how to use ChatGPT effectively.

Step 3. Let the AI ask questions first (AI)

What to do: before any advice, ask the AI to ask you what it's missing.

Before advising me, ask me 5 questions whose answers would change this decision. If I don't know something, tell me how to find out.

Why: the AI fills gaps on its own, often wrongly. It might assume, for example, that your customers don't care about price.

Check: the questions are concrete: "Which product sells every day?", "What does the shop next door charge?". If you don't know an answer, that's your first homework.

Step 4. Ask for a format and sources (AI)

What to do: after answering its questions, ask for a countable comparison of options, with sources.

Now compare the three options in a table: option, what I gain, the risk, how to test it quickly. Maximum 6 rows. If you rely on any fact outside my material, add a source and link. Where you have no source, write "assumption".

Why: a table puts options side by side. Asking for sources separates facts from assumptions.

Check: every option has a risk and a way to test it. Open the links and see whether they really say that.

Step 5. A second AI as critic: criteria first (checking)

What to do: show the table to a second AI: ChatGPT's answer to Claude or Gemini, or the other way round. Give the criteria first.

Here is my business description and three pricing options. First rate them on these criteria: how many loyal customers I might lose, how soon results show, how easy it is to reverse. Then find 3 weak spots. If you disagree, say so and explain why.

Why: AI tends to agree with you. A second AI with clear criteria sees what the first one missed.

Check: the critique is specific and uses your criteria. Where the two AIs disagree is exactly what you need to check yourself.

Step 6. Your own check (checking)

What to do: find out what the AI can't know: ask 5-10 regular customers, look at the competitor's prices, review your own sales.

Write 3 short questions for regular customers to learn how they'd take a price change. Phrase them so they don't suggest the answer.

Why: your customers know why they buy from you; the AI doesn't. AI agreeing with you is not evidence.

Check: you have at least one fact that didn't come from AI: customer answers, a competitor's price, or your own sales figure.

Step 7. Decision and first step (action)

What to do: pick an option and turn it into a small test you can measure.

I chose: raise prices on pastries only, keep bread the same. Write a 7-day test plan: what I change, what I measure daily, what result means I continue, and when I roll it back.

Why: a small test lowers the risk and bases the next decision on facts, not hopes.

Check: the plan has one measure, a deadline and a pre-written rule for when you continue and when you stop.

How do I turn AI advice into a checked business decision?

In short: advice becomes a decision when it has your context, has passed two checks (a second AI and your own), and ends in a measurable step. If any of these is missing, it's still an idea.

Tip: before uploading business numbers, turn off training on your chats and never paste customers' personal details. Step by step: ChatGPT and Claude privacy settings.

Applying this path to your business

This guide shows the logic. In our course you walk the same path on your own business, with business methods: market, customers, unit economics and testing, using your numbers and with Niko's feedback. The course is taught in Georgian: see our AI course for business (in Georgian).

FAQ

Do I need all 7 steps for every question?

No. A post or an email needs 1-2 steps. The full path is for decisions that cost money or time: pricing, a new product, a season plan.

Which AI should be the main one and which the critic?

Either. What matters is using two different AIs and giving the critic its criteria first. For how they differ, see Claude vs ChatGPT for small business.

What if the two AIs contradict each other?

That's useful: it shows exactly what you need to check yourself. Ask a customer, look at your data, or run a small test.

How long does this take?

Working with AI on one question takes 30-60 minutes. Most of the time goes into step 6, your own check, and that is what makes the decision reliable.

Sources

About the author

Niko Tevdorashvili, founder of Azrioni. 17+ years leading marketing teams, 100+ projects across 15+ sectors, from banking to tourism. AI has been part of all his consulting and training programs for the past 4 years.

Want help fitting AI to your business? Write to info@azrioni.ai. Our courses are taught in Georgian.

Updated: October 18, 2026.