ENDRETInsightsThe ENDRET method

Why ENDRET does not start with AI

Technology creates value only when it addresses a real situation that has been understood and clearly bounded.

Technology creates value only when it addresses a real situation that has been understood and clearly bounded.

Technology is rarely the true starting point

When a company asks about AI, it is often describing something more concrete: a task that takes too long, information that is hard to find, follow-up that gets lost or a process that has become fragile.

Starting with AI means choosing the means before defining the outcome. The demonstration may look impressive while the underlying problem remains unchanged.

ENDRET starts with a simple question: what is actually happening today?

Understand the operation before changing it

The same symptom can have several causes. A missed follow-up may come from a missing tool, unclear ownership, scattered information or an existing system that is being used poorly.

  • the situation that triggers the problem;
  • how the work is currently carried out;
  • frequency, impact and the people involved;
  • the concrete result the business wants to achieve.

The right response may be simpler than expected

Once the need is clear, the answer might be a working rule, a template or a better use of an existing tool. Other cases call for an integration, a targeted automation or a small dedicated interface.

AI is considered only when it adds a useful capability, such as interpreting varied text, summarising information or searching a body of knowledge.

If a simple solution without AI is enough, ENDRET chooses that solution.

A method that also protects the investment

Starting small reduces unnecessary expenditure, supports adoption and makes value observable before more complexity is introduced.

Questions to ask before an AI project

A business should define a verifiable outcome, the people who validate and correct results, the data available and the consequences of an error.

  • prefer an observable result to a broad promise;
  • identify who validates and who corrects;
  • start with non-sensitive data where possible;
  • set a limited test period and a stopping criterion.

From curiosity to a responsible decision

Exploration is useful, but it must remain clearly labelled until reliability and value have been demonstrated. ENDRET distinguishes an idea, a prototype and an operational solution.

Does your business face a similar situation?

Start by describing the problem.

We will first understand how things work before exploring a solution.

Talk to the ENDRET assistant