Map the work, identify bottlenecks, and improve the flow before investing in technology. M-FLOW is the discipline of understanding first.
Who performs the work?
How does the work move?
Where does info go?
What systems are used?
What happens again and again?
Where does work slow down?
Where could AI add value?
Where can repetitive work be automated?