How much of your week could AI give back?
Answer a few questions about how you work and the tasks that take up your time. You'll get an instant AI-readiness score, a conservative read on the hours you could recover, and one fix you can run this week on whichever task is costing you most.
Built by Noah Cheyer, founder of Silicon Valley Speakers, which features AI keynote speakers from OpenAI, Google, Anthropic, and Apple. He runs his whole company on the same AI playbook this assessment scores you on.
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What kind of team are you?
What this assessment scores
You name the tasks in your own words, and each one gets scored on its own rather than collapsing into a single grade, because “you scored 48 out of 100” is not something you can act on and “your run of show is a 2, and it is worth 96 hours a year” is. The assessment sorts what you write into eleven task types. These are five of them.
- Run of show and timelines
- Building the minute-by-minute schedule, then rebuilding it every time a speaker moves. It repeats every event in almost the same shape, so the assessment treats it as one of the tasks AI can take most of.
- Post-event survey analysis
- Turning a pile of open-text survey responses into something a stakeholder will read.
- Sponsor recap decks
- Pulling what each sponsor received into the deck they get after the event.
- Contracts and proposals
- Drafting a proposal or brief, then working through what comes back.
- Budget forecasting from prior data
- First-pass numbers built from what the last event actually cost.
How each task is scored
Every task you name is scored 0, 2, 5, 7 or 10 for how much AI is doing the work today, based on how you say you use AI on it. Your overall score averages those and shows out of 100, which is what puts you on one of the five rungs, from AI Curious through to AI Strategist.
The hours come from the time you enter for each task, how often it runs, and how much of that kind of task AI can realistically take on. They are deliberately conservative, and they shrink further for tasks where you already use saved workflows.
| Score | Band | What it looks like |
|---|---|---|
| 0 | Fully manual | The work is done by hand and nothing is repeatable yet. The first move is writing one workflow down, not buying anything. |
| 2 | Tools, no AI | Templates and software carry the work, but none of it drafts anything. The hours are still all yours. |
| 5 | Ad hoc AI | You use AI on it when you remember to, and re-explain yourself every time. Saving your best prompt as a reusable workflow is the usual next step. |
| 7 | Saved workflow | A prompt, custom GPT or automation you reuse. The next step is connecting it to where the data lives, so nobody re-keys anything. |
| 10 | Connected | The work runs inside systems that hand data to each other. The question becomes what to connect next. |
What you get back
A score per workflow, the hours behind each one, and a fix for whichever task is costing you most. The fix is written for the tooling you told us about, so it can name a real export in a tool you can open rather than telling you to use AI.
If you want to go further, the Team AI Readiness Audit runs this across your whole team and surfaces the difference between what leadership thinks the week looks like and what the team reports. For background on the method, read the guide to AI readiness assessments or the 0 to 10 framework.
Common questions
Is the AI readiness assessment really free?
Yes. There is no payment step and no call required. You answer the questions, you get your score, the hours behind it, and a fix for your highest-opportunity workflow. The report arrives on screen and in your inbox.
How long does it take?
About three minutes. Five short steps before your score: what kind of team you are, how the team is set up, where your AI use is today, what is holding you back, and the tasks that take up your time. After the score you can add what tooling you work with, which is what makes the fix specific to you, or skip it.
What does it actually measure?
For each task you name, how much AI does the work today, on a scale from fully manual to a connected system, and how many hours a year you could get back based on the time it takes and how often it runs. The fix is then written around your company size, whether IT has to approve new tools, any restrictions on AI, and which assistants you can open.
How is this different from an enterprise AI readiness assessment?
Enterprise assessments score you on data platforms, model governance, and infrastructure a small team does not control and will never buy. A ten-person event team scoring badly on MLOps maturity has learned nothing. This scores the event work you actually do.
What happens to my answers?
They produce your report and they reach Noah. They are not sold, and they are not added to any list you did not ask for. If you share your result, the public page shows your first name, your tier and persona, and your hours, never your email, your company, or your task detail.
Do I need to be using AI already?
No. A score of 0 only means the work is done by hand today, and the fix you get is a first step rather than something to build on. The score is a starting point, not a grade.