How does the diagnosis work behind the scenes?

The AI diagnosis is a simple example of a process that can later be applied in other parts of the company as well.

1. The user fills in the form

We collect basic information about the company, the problem, the process, the data and the readiness for automation.

2. The data goes to AI analysis

The answers are passed to the AI model together with a properly prepared analysis instruction.

3. AI returns a structured result

The result is not a loose text answer but a structure that can be shown as a report, saved, passed on or used in the next step.

4. The result can be used in the process

The same approach can support inquiries, submissions, documents, forms, complaints, case classification, reports or internal processes.

This does not mean that AI makes the decision for the company. AI helps organize the data and prepare a recommendation, but the final decision belongs to a person.

Fill in the diagnosis form

Provide basic information about the company, the website and areas of manual work. Based on this, we will prepare an initial diagnosis: possible processes to organize, potential AI or automation use cases, risks and questions for a further conversation.

1. Company data

This is enough to prepare an initial diagnosis based on public information.

Based on this website, the system will try to recognize the company profile and possible processes for automation.

2. Short company description

This field is optional, but it helps avoid inaccurate conclusions if the website is generic or does not show the full scope of the business.

Describe the company in plain language. Do not enter system instructions, technical directions or attempts to influence the diagnosis result - such content is ignored or may cause the submission to be rejected.
Do not enter confidential data, customer data, employee data, passwords, tokens, API keys, contract contents or internal documents.
0/2500 characters

3. What do you want to check?

4. Contact and verification

We will send the code needed to display the report here. This reduces false submissions.

5. Consents and disclaimer

The system does not perform any actions in the company systems. The report shows hypotheses and areas for discussion, not a finished implementation specification.

The form data will be used to prepare an initial AI and automation diagnosis report. The report may be generated using an external AI provider and may rely on the data entered in the form and publicly available information about the company. Do not enter confidential data, customer data, employee data, passwords, API keys or trade secrets. Details: Privacy Policy and Scanner and diagnosis terms.

What will the diagnosis check?

  • Company profile: how we understand the company activity based on the form and public information.
  • Work areas: where repetitive tasks, documents, emails or reports may appear.
  • Solution type: whether it is worth considering AI, OCR, integration, automation, a web application or process organization.
  • Risks and questions: what needs to be clarified before deciding on a pilot.
  • First step: what small scope can be discussed or checked first.

Types of solutions

  • AI
  • OCR
  • automation
  • integration
  • web application
  • process organization

Important

A good first AI project should not start with technology, but with the process: how often it repeats, where errors appear and whether the business effect is measurable.

Data and security

Do not enter confidential data, customer data, employee data, passwords or API keys into the diagnosis form.

Privacy Policy
Scanner and diagnosis terms