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Your first AI project: a 90-day roadmap

A useful first project starts with a recurring task and a clear decision. This 90-day outline helps organise the work. Adjust its duration to your data, approval requirements and team availability.

Updated: 12 October 2026

Days 1–15: choose an observable scope

Describe one task, its input, its output and the person who accepts the result. Collect routine examples and exceptions. Measure the current process before choosing a tool. Name a process owner and define an outcome the team can verify.

  • Output: a scope brief and a baseline.
  • Decision: what belongs in the trial and what stays outside it.

Days 16–35: prepare a representative test

Build an authorised test set covering the languages, formats and difficult cases you actually encounter. Agree acceptance criteria and blocking errors in advance. Run the same examples through the current process and the proposed solution, including review time.

Days 36–65: test with a small team

Run the pilot within a limited scope and keep a simple route back to the normal process. Record corrections, unhandled cases and user questions. Hold a short weekly review to resolve obstacles. The relevant professional retains approval authority.

Days 66–90: decide what comes next

Compare results with the original criteria and include recurring costs, support and training. Decide whether to proceed, change the scope or stop. Deployment needs an operational owner, an incident procedure and a review date. A successful demonstration does not replace that decision.

Your checklist

Further reading

One process. One next step.

Start with your daily work to decide what is worth checking together.