Start with the problem you are solving, not a list of screens. Which people will use this, how many times a day, and what happens today? An estimator who knows what you are trying to achieve will suggest a cheaper route to it; a team that receives only a list of screens can only price the list as written.

Set out the scope as concrete flows: who does what, and what happens next. Every bit as useful, list what the first release deliberately excludes. An explicit exclusion list saves more argument at delivery time than almost anything else in the document. Also mark which parts are firm and which may still change — estimators price uncertainty, and pretending everything is fixed helps no one.

Write down the hard constraints. These include the platforms and ai automation services involved, existing databases and their quality, security and compliance rules, user volumes, which devices matter and any technology you are committed to. If a deadline is real, industry specific software development explain what drives it: an experienced team can often cut the right scope to hit it, but not if the date is a secret.

Say what the word done means feature by feature. Acceptance criteria do not require formal language: a plain-language note stating the expected behaviour is sufficient. This single habit reduces the review at the end considerably and closes off the usual argument at handover.

To close, say what you expect back. Require a task-level breakdown, the assumptions used, the risks the team sees and an optimistic and a pessimistic figure. Take a broad range as a signal about the brief: it outsourcing europe tells you exactly which requirement is unclear. Then clarify that area and ask for a new estimate — the second estimate is the one worth planning around.