Workflow design
Why workflow comes before choosing an AI tool
Most AI projects stall because the team starts with software instead of the repeated business task that needs to change.
Tools do not fix unclear work
If a workflow is messy before AI is introduced, adding a model can make the mess faster rather than better. Teams need to understand the inputs, decisions, handoffs, review points, and desired outcome before choosing the technology.
The workflow defines the AI role
Sometimes AI should draft, sometimes it should check, sometimes it should summarise, and sometimes simple automation is enough. Mapping the workflow first makes that decision clearer and avoids overbuilding around a fashionable tool.
Good implementation feels boring in the right way
The best systems fit into the tools people already use. They make work easier to run, reduce uncertainty, and keep ownership clear. That only happens when the workflow design comes before the software decision.