Should you automate that process — and which one first? Answer 12 quick questions for a readiness score, what to automate first, what to fix first, and your next step.
A guided self-assessment to orient automation planning, not a formal audit.
No spam — we only use this to send your report and follow up about your project.
Most failed automation projects were never automation problems. They were process problems that a tool got dropped into.
The Parix.ai automation readiness quiz checks whether the groundwork exists before you spend anything.
It repeats often. Daily or weekly, not once a quarter.
The steps are stable. If they change every time, automation breaks every time.
You can describe it without saying “it depends”.
The systems have APIs or can otherwise be connected.
You can measure it. Before and after.
Miss the last one and you will not get funded for a second project, however well the first goes.
The process where the manual step is most obviously wasteful and easiest to measure.
Not the most complex, and not the most impressive. The first automation is as much about proving the approach as it is about the process — which means a clear result matters more than an ambitious one. The Repetitive Task Cost Estimator puts a figure on the waste.
If it runs a handful of times a month, it rarely pays back. If the steps change constantly, maintenance will exceed the manual cost. And if nobody can describe it clearly, it is ready to be documented, not automated.
Operations leads deciding where to start. Founders checking whether the timing is right. This quiz covers automation specifically; if the question is broader, the AI Readiness Assessment checks data, process, people, technology and governance together. Then price it with the Automation ROI Calculator.
Answer honestly. A low score is more useful than a high one, because it names what to fix first.
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