The documented process and the real process are never the same, and the gap between them is where all the interesting problems live.
Someone maintains a spreadsheet nobody official knows about. A step exists because of a system limitation that was fixed in 2019. Two teams both check the same thing because neither trusts the other to have done it. Approvals route through one person who’s now a bottleneck and a single point of failure.
You can’t automate any of that usefully until you can see it. So we start by mapping what actually happens: sitting with the people doing the work, following a real case end to end, and recording every handoff, wait state and workaround.
Then we design the target process. This is the part that saves the most money and gets skipped the most often. Automating a fourteen-step process gets you a fast fourteen-step process; redesigning it to nine and then automating gets you something genuinely better. We look for steps to remove, decisions to push down, approvals that aren’t managing real risk, and rework loops caused by bad inputs upstream.
What you get is a current-state map, a target-state design, and a build brief specific enough to quote against — whether we build it or someone else does.
It’s also the honest place to find out that the answer is a process change, not software. That happens more than you’d think.