AI Automation Roadmap
A paid map of where AI can take work off your team, and where it shouldn’t.
I take the top item from the roadmap and build it into the systems your team already uses. Evals before features, a runbook at the end, and no dependency on me once I’ve gone.
We start from the roadmap brief: what goes in, what comes out, which systems it touches and how we’ll know it works.
Before any features, I write the tests that prove the workflow behaves on your real examples, including the awkward ones.
Weekly demos on real data. Each week ends with something you can open, click and argue with.
A runbook a non-engineer can follow, a walkthrough with whoever owns it, and access transferred to your accounts.
One hour, a month later: what drifted, what the team worked around, and whether the next workflow has earned a build.
Everything below is yours when we finish, whether or not we work together again.
Usually, yes. If you already know exactly what you want built and why, we can scope it on a call instead.
You do. Everything is built in your accounts from day one, so handover is a walkthrough, not a migration.
The runbook covers the common failures. For anything beyond that, the Managed service keeps me on call.
It depends on the workflow and the systems involved. You’ll have a fixed scope and number before the build starts.
A paid map of where AI can take work off your team, and where it shouldn’t.
I keep it running and add the next workflow when the last one has earned it.
Forty-five minutes, no deck. If there’s nothing worth automating, I’ll say so.