AI Automation Priority Scorecard
Score your candidate processes on the four factors from the AI Automation Priority Framework, and see which one to automate first.
Read the full frameworkHow often does this process run? A task that happens fifty times a day pays back the effort of automating it far faster than one that runs twice a month. High frequency scores high.
How much does the process vary each time it runs? A task with the same steps every time is a clean fit for an agent; one that needs a judgment call at every turn is not. High sameness scores high.
What does a mistake cost, in money, time, or trust? A missed lead or a wrong invoice is expensive; a mislabeled internal note is not. The more a slip hurts, the more a reliable process is worth, so high cost of error scores high.
Is the data already there and reachable? A process whose data lives in one connected system is ready today; one that depends on numbers trapped in someone's inbox is not, yet. High readiness scores high.
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This scorecard gives you the order. Having an owner after go-live is what turns that order into a working system: someone who builds it around your actual processes, keeps it running, and decides what comes next.
- A complete tech team, not a single tool
- One fixed point of contact instead of separate vendors
- Approval-first: nothing goes live without your say
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