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Why we don't implement AI agents without a diagnostic

An agent where plain code would do is the most expensive mistake in AI projects. Here is what a diagnostic gives you and why it pays off before implementation starts.

Dmytro Dobronos, Founder of ARVEXO · Published

Business owners are offered AI from every direction: chatbots, "smart" CRMs, agents for everything. Almost nobody says the main thing — what it brings in money and why exactly here.

We don't take on implementation without a diagnostic. It isn't a formality; it's how we avoid selling you development you don't need.

The typical mistake

A company buys an AI solution for the process that hurts the loudest. A few months later it turns out that:

The money is spent, and the losses are still there.

Code, AI agent or human

In the diagnostic we decide, for every process, what should cover it:

We don't push AI where it isn't needed.

How the diagnostic works

  1. A free 30-minute call: we get to know the company and its processes.
  2. An NDA, a GDPR data processing agreement and a proposal — before you open the first document to us.
  3. Materials from our checklist: voice notes from key employees about a normal working day, screen recordings, 12-month exports from CRM and ERP.
  4. Analysis: we describe the processes and calculate losses from your data.
  5. The diagnostic book: how the company works today, how it will work, what to implement first and when it pays off.

It takes 1–2 hours of the owner's time and about an hour from each key employee. We do the rest. The diagnostic takes from 5 business days once we have the materials.

What stays with you

The diagnostic book is your asset. With it you know where and how to move the business to AI, even if you decide to work with someone else. Implementation cost is not in the book: it comes in a separate proposal for each wave.

You can start with one call: we walk through how an order travels from customer request to payment and name 1–2 likely places where money is lost.