Free · the math is shown

How much of your team's daily work can a robot do?

Answering the phone. Booking. Chasing invoices. The schedule. Copying info between systems. You pay people to do it — and a lot of it, AI can now do for a fraction. This puts a real number on it.

No pitch to get the result. You keep the plan whether or not we ever work together.

AI Work Audit
The workStep 3 of 5
What piles up — the work you wish you could hand off?
Pick everything that eats real time for you or your staff. Next you'll set rough hours for each.
The hoursStep 4 of 5
Roughly how many hours a week on each?
A gut estimate is fine — use the + / − buttons.
When you're slammedStep 5 of 5
When you're slammed, what slips first?
Pick any that happen. (This is the money that quietly walks out — on top of the labor.)
And what's one new customer worth to you?
A rough average is fine.
✓ Your audit is ready.

Where should I send your result?

Your report loads next. I keep a copy so I can walk you through it if you book a call.

Please enter your name and a valid email.

Your info stays private. No spam, no list-selling — one human on the other end.

✓ Want a sharper number? (optional)

If you know these, the math gets more exact.

Skip if you're not sure — the estimate stands.

Work AI can take over
$0
a year of work you're paying for — that a system can do

⏱ What I'd hand off first

Your tasks, ranked by the salary-worth of work AI can take over — hours × pay × the share that's automatable. The most solid number here.
Cost per hour of that time:$30
Reclaimable / year$0

⚠ Worth real money — but it needs a real look

You flagged work that depends on your actual tools and rules. We won't fake a number for it — that's exactly what the paid deep-dive measures.

💸 …and the money that slips through

Real money — but it needs your actual volume to size, which a survey can't know. This is exactly what we put a number on during the deep-dive.
Your highest-ROI first move
—
How this is calculated (formulas + sources)

The work number (the solid one)

For each task: hours/week × 52 × your loaded hourly cost × the automatable share of that task. No conversion guess — just pay × time. Automatable shares are set per task from McKinsey's automation-potential data (reminders/reviews ~90%, scheduling ~85%, data entry ~70%, quoting ~55%).

The “slips” number (the rough one)

A conservative, directional estimate of revenue that walks out when calls go unanswered or follow-up doesn't happen — bounded low on purpose, because the survey doesn't know your real volume. That's what the deep-dive measures.

Sources

Automation potential: McKinsey Global Institute, “A Future That Works” (2017) — ~64% of data collection, ~69% of data processing, ~81% of predictable work is automatable with today's tech.

Speed-to-lead: Oldroyd et al., Harvard Business Review (2011) — within 1 hour ≈ 7× likelier to win the lead.

Retention: Reichheld & Bain — a 5% retention lift can raise profit 25–95%.

What this is NOT

A directional model from your answers — not an audit of your books or a guarantee. Every assumption is yours to adjust on the call.

This is the quick estimate. Want the real numbers?

On a free 30-minute call I'll go through this with your actual figures — and the work the survey flagged it can't size (your scheduling, your decision spreadsheets) is exactly what the paid deep-dive measures. You leave with a prioritized plan and ROI, whether or not we work together. See a sample report →

Best time to reach you

A directional model based only on your answers — not a guarantee or an audit of your books. Built by Wei-Lin Chang.

Wei-Lin Chang — I build AI employees for high-ticket service businesses.
Builder, not a reseller · Bilingual EN / 中文 中文老板：扫到这页也没关系，私信我「诊断」，我用中文帮你看哪些活可以交给 AI、能省多少。