What to define before you build an AI tool for your business

Many internal tools and automations fail for a plain reason: nobody agreed what job they were meant to do. A few decisions made before any building starts save most of the rework.

Start with the task, not the technology

Describe the task a person does today, step by step. Note where time is lost, where errors creep in and what a good result looks like. That description is the specification.

Decide what the tool may and may not do

Be explicit about which decisions the tool can make alone, which need a person to approve, and what it must never touch, such as payment details or data you are not allowed to share.

Know where the data lives

Much of the effort in these projects is getting clean, accessible data. List the systems involved, who owns them and how often the data changes. Messy reporting usually points here.

Plan for when it is wrong

Any automated system makes mistakes. Decide how mistakes are noticed, who fixes them and how a person can override the tool.

Pick a first version small enough to finish

A small tool that people use beats an ambitious one that never launches. Choose one workflow, build it, check whether it helps, then extend it.