An AI automation opportunity scanner answers a question every worker and manager now asks: which parts of this role can AI actually do? Pasting a job into a chatbot and asking “can AI do this?” gives mushy answers. This tool reads each task line independently, tags it high, medium, or low for automation potential, and names the category of AI tool that fits — turning a wall of responsibilities into a clear, prioritised map.
How it works
You enter a job title for context and paste a task list or description, ideally one task per line. The scanner analyses each line for signals of automatable work: action verbs such as draft, summarise, classify, schedule, transcribe, and extract push a task toward high potential, while verbs implying negotiation, judgement, approval, or physical presence pull it toward low. It then assigns each task a level and suggests a durable tool category — a chat LLM for drafting, a transcription model for meeting notes, a document-extraction model for forms, and so on. The result is a per-task breakdown you can act on immediately. All processing is local to your browser.
Tips and examples
Split dense paragraphs into discrete tasks before pasting — “manage vendor relationships and process invoices” hides two very different tasks, and separating them lets the scanner tag invoice processing high while keeping relationship management low. Use concrete verbs; “handle reporting” scores worse than “compile the weekly sales report from the CRM”. Treat low-tagged tasks as the human core of the role and high-tagged tasks as your automation backlog. After scanning, pair this with a workflow planner to weigh each high-potential task by how often it runs, so you automate the one with the biggest payoff first.