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The signals
What the score is based on
The checker uses five signals that predict whether an AI employee can reliably take on a task. Repetition and clear rules are the strongest: if you do something the same way every time and can write down the steps, an AI agent can follow them. Living inside software matters because the agent needs to read from and write to your tools. And if the task does not need creative judgment or relationship-building, the repetitive portion is a strong fit for automation under human approval.
Most real-world tasks score somewhere in the middle. An AI employee handles the repetitive 40 to 60 percent (drafting, data entry, follow-ups, triage) while a human keeps the judgment calls. That split is exactly what the approval-gate design is built for: the agent prepares the work, the human approves what ships.
FAQ
Automatability, answered
What makes a task automatable?
Five signals: it is repetitive, it follows clear rules, it happens inside software, it does not need creative judgment, and its inputs and outputs are digital. The more of those that are true, the better an AI employee can take it on.
What if my task scores low?
A low score means the task itself relies on judgment or relationships. But the work around it (scheduling, drafting, research, data entry) may still be automatable. A free AI audit will help you find the automatable portions.
Can an AI employee handle part of a task?
Yes, and that is the most common deployment. The AI employee handles the repetitive prep and drafting while a human handles the judgment call. The approval-gate design is built for exactly that split.
Next step
Automate the work
that scores high
Book a free AI audit. We turn your score into a deployment plan for your highest-ROI workflow.