How CleanProof Works

The complete workflow from job creation to customer acknowledgement — understandable in under two minutes.

Step 1

Create the job

Set up a job for a customer and property. Assign a cleaner, schedule a date, and choose a service type.

Step 2

Start the service

When the cleaner arrives, they tap 'Start Job' on their phone. Location and start time are recorded.

Step 3

Capture before photos

The cleaner snaps before photos for each area — kitchen, bathroom, bedrooms, and more.

Step 4

Complete the checklist

Work through the smart checklist for each area. Check off tasks as you go — no typing required.

Step 5

Capture after photos

Snap after photos for each area. Smart pairing matches them to the before photos automatically.

Step 6

Smart visual assessment

Smart analysis of the before/after photos for visible improvement, image quality, and potential concerns.

Step 7

Review results

A manager reviews the smart assessment. Accept, override, or dismiss any flags — human review always.

Step 8

Complete the job

The job is marked complete. The CleanProof Score and Proof Strength are calculated automatically.

Step 9

Generate proof

A professional, shareable proof report is generated with all evidence, the score, and a QR verification code.

Step 10

Customer acknowledges or reports an issue

The customer receives a secure link. They can acknowledge completion with one tap, or report an issue.

What is the CleanProof Score?

The CleanProof Score measures the completeness of the service documentation associated with a job. It may consider checklist completion, photo coverage, evidence quality and other verification information.

It is not a guarantee or objective measurement of cleanliness.

How does the smart assessment work?

CleanProof uses assistive visual analysis to identify potential visual concerns and assess the relationship between uploaded before and after images.

Assessment results are assistive and may be incorrect. Human review remains available.

Ready to see it in action?

Try the demo with fictional data, or start creating real proof reports.