AI adaptation: Build AI automated workflows
Wire AI into a real process — with a human checkpoint — and put it in production.
Audience
Ops, founders, PMs, compliance
Demand
A team pastes the same work into ChatGPT. Nobody owns the workflow, the log, or the review step.
Gap
A prompt library is not a system. We build the workflow, the handoff, and the human trigger.
Outcome
A running workflow with inputs, a model or vendor step, a log, and a named reviewer.
This is not a certification. CASF teaches people to prove oversight. This page is a build: take a repeatable job, put AI in the middle, and leave a human trigger and a log.
Gabby Software designs the workflow, connects the tools you already use, and ships it. Policy training stays on /certifications. The automated path lives here.
Who this is not for
Not a generic ChatGPT workshop and not a foundation-model lab. If you only need the cert, go to CASF. If you need a process that runs Tuesday without a paste window, this is the page.
What we actually do
1. Pick the job
One workflow: intake, draft, classify, route. Written start and end. If it is not repeatable, we will say so.
2. Build the path
Connect the tools, the model or vendor, the log. A human checkpoint where the law or your risk says a person must look.
3. Run it
Production, not a demo. Who owns misses, how you turn it off, what never goes in the prompt.
FAQ
- Should we take CASF instead?
- Take CASF if people need a verifiable oversight credential. Hire this service if you need a workflow built. Many teams do both. They are not substitutes.
- Do you train the model?
- Usually we use a vendor model behind your process. Custom training is a different, larger job — ask if that is what you mean.