AI Business Process Mapping

Before automating anything, particularly where the process has evolved informally and the documented version no longer resembles what people do.

Automating a process nobody has mapped tends to encode its existing inefficiencies, permanently and at speed. Mapping first surfaces the workarounds, the exceptions that are actually the majority case, and the steps that exist only because a system used to require them.

Frequently the mapping alone produces improvements that need no AI at all, which is a good outcome even though it reduces the scope of the AI work.

What the work includes

• Documentation of how work actually flows, from the people who do it
• Identification of exception paths and how often they are really taken
• Steps that can be removed rather than automated
• Clear handoff points, which is usually where time is lost