You can build this yourself. I did, with no production or automation background. Here is the honest version of what the path looks like.
Skip “what can AI do” entirely. Ask what part of your team's week you would hand off if you could. The recurring, pattern-following, embarrassing-to-describe work. That is your first build. Mine was a morning report I assembled by hand for months.
Use the actual inputs and output for one real workflow, end to end. Real work exposes exceptions and handoffs that sample data hides.
Anything that reaches a customer, a vendor, or a system of record waits for a person to approve it. Build that control before expanding the workflow. The approval-gate guide covers what the gate needs to hold.
The first versions will produce garbage. Mine did. The clip system that runs my content pipeline shipped trash for six versions before version seven worked.
A production workflow also needs monitoring. Put something in place that reports a missed scheduled job, a stale data source, or a backed-up queue.
Write down how it works while you still remember. The runbook you write today is the reason the workflow survives your vacation.
Bring in help when the cost of learning by breaking exceeds the cost of the engagement, the workflow touches customers or compliance, or nobody in the company can own the build and its maintenance.
If you send the assessment form, part of my job is telling you which path you are on. The audit hands you the map and the plan, and they are yours whether or not I build any of it. I make nothing on the DIY path, and the recommendation does not change because of that.
Describe the workflow, get a written read, then decide whether to build it in-house or bring in help.