How your AI coach identifies the tasks worth automating
The coach doesn't guess from a job title. It builds a picture of your actual work — what you repeat, what eats your time, what drains you — and ranks the tasks where AI will genuinely help. Here's exactly how it does that.
1. It starts with a conversation, not a questionnaire
When you first meet your coach, it asks about your actual job: your role, your team, the tools you already use, and the work that fills your week. It listens the way a good coach would — following up, asking for examples, and noticing what you dwell on.
Nothing here is a tick-box form. The picture it builds is yours: the reports you write, the meetings you summarise, the spreadsheets you maintain. That's what every later recommendation is grounded in.
2. It separates what you said from what it guessed
Everything the coach learns carries a mark: fact or estimate. A fact is something you told it or corrected. An estimate is something it inferred — for example, that a facilities manager probably deals with contractor updates.
Estimates are working hypotheses, never conclusions. When you review your Work Profile and correct something, that correction becomes a fact permanently. The coach's picture of your work gets more accurate every time you look at it.
3. It looks for the shape of an AI-suitable task
Not every task is a candidate. The coach looks for a recognisable shape: work you repeat often, that takes real time, that involves drafting, summarising, restructuring or reformatting — and where you can already tell a good result from a bad one.
Tasks fail the test when the facts live in a system the AI can't see, when the output carries legal or financial consequences you can't check, or when the task is genuinely different every time. Saying so is part of the job: an honest "AI won't help here" saves you more than a forced suggestion.
4. It ranks opportunities by impact and effort
The candidate tasks land on your Opportunity Map, ranked by two questions: how much time would this give back, and how hard is it to start? The sweet spot — high impact, low effort — becomes your next AI win.
The ranking uses your numbers, not industry averages: how often you do the task, how long it takes you, how much it drains you. A task you do daily for an hour outranks a monthly one, even if the monthly one sounds more impressive.
5. It keeps learning as you work with it
The map isn't a one-off report. As you coach on real tasks, save workflows, and bring new material, the coach refines what it knows: which suggestions you acted on, which worked, and where your confidence is growing.
Your Personal AI Radar adds another layer — when something new in AI is genuinely relevant to your role, it surfaces as a specific suggestion for your work, not generic news. The result is a living picture of where AI helps you most, updated by your own experience.
See it work on your job
The fastest way to understand the process is to go through it. One short conversation and your coach produces a Work Profile and a ranked Opportunity Map built from your own tasks — not a template.
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