How it works

Four steps from the first call to a system that runs without you, including the two week supervised run that most builds skip.

Step 1

Find the hours

A working session where we walk through a normal week and count the repetitive work honestly. Not what the process is supposed to be, what it actually is, including the bit where someone re-types a number from one screen into another. You leave with a written list of what can be automated, what each item is worth in hours, and a fixed quote against each one. That list is yours whether or not we go further.

Step 2

Build the highest value item first

Not the easiest one, and not the most interesting one. The one that gives back the most hours. It gets built end to end on your own accounts and tools, so nothing is locked to a platform you would have to keep renting.

Step 3

Run it against real work for two weeks

This is the step that gets skipped everywhere else, and it is the one that matters. The flow runs on live data with the supervisor attached. Every failure inside that window gets fixed before sign-off, because the failures that appear on day nine are the ones that would otherwise appear on day ninety, when nobody is watching.

Step 4

Hand over the keys

Documentation, credentials, and the status board. You can run it yourself, hand it to someone else, or keep the supervision on a monthly retainer. All three are fine, and the system does not stop in any of them.

The supervisor

What watching actually means

Monitoring that only reports whether a job ran is close to useless. These are the checks that catch the failures that cost money.

Outcome, not exit code

A publishing run that finishes with nothing published is a failure, and it reports success. The supervisor asks whether the post exists, not whether the script returned zero.

Credentials before they expire

Access tokens have quiet deadlines. Refresh is scheduled ahead of every expiry, and an alert fires if a refresh itself fails.

Queues that can actually refill

A buffer that generates one item per run while consuming one per run is a ratchet, not a buffer. Depth is tracked, not just presence.

Reach, not just send

An email that leaves the server is not an email that arrived. Batch completion and delivery are both checked, because partial sends look identical to full ones from the inside.

One board, one alert

Every automation reports to the same place, so there is exactly one thing to look at. When something needs changing you reply in plain English, the change ships, and the record stays.

Bring one process you are tired of

Thirty minutes, and you will know whether it can be automated and what it would save.