Signatures without proof
A tick takes one second and the whole day can be filled in at the end of the shift. Nothing in that record shows the surface was ever touched.
AI cleaning inspections
Hygiene you can prove, not just tick off
Staff photograph each area after cleaning. AI scores it from 0 to 100 in seconds, reports only the dirt it can actually see, and your supervisor confirms. Every correction teaches the system your standard.
Only $14.99/month
Runs in any phone browser. No extra hardware, no installation.
The problem
A signed checklist is not evidence
Paper and tick-box apps record that someone said the work was done. They record nothing about whether it actually was.
Managers find out too late
Problems surface when a guest complains or an inspector walks in. By then the evidence, and the chance to fix it quietly, are both gone.
Standards drift between branches
Every supervisor carries a different bar in their head. Without a shared reference, two branches of the same brand end up in two different places.
How it works
Five steps, then it runs itself
You set up areas and schedules once. From that day on tasks are generated every morning and results land where they are needed.
Define areas
Kitchen, restrooms, service counter. Add up to two reference photos showing each area at its accepted clean state.
Set the schedule
Days, due time and how much lateness you tolerate. Times follow each branch's own local clock.
Staff photograph
After cleaning, staff open the task on their phone and take a few photos. Around thirty seconds per area.
AI inspects
The photos are compared with the reference, scored 0 to 100, and every issue is listed with what is visible and where.
Supervisor confirms
Verdicts are reviewed once a day. Confirmations close the loop, corrections teach the AI.
Decision logic
Three verdicts, one rule
The AI is deliberately cautious. An unfair warning costs more than a missed spot, because it destroys the trust that makes the system work.
Passed automatically
The photos show the area is clean with enough confidence. The task closes itself and appears pre-approved to the supervisor.
Warning with evidence
Concrete visible soil was found. When confidence is high and the findings are serious, the staff member is warned immediately and the area goes back on the list.
Handed to a human
When the AI cannot decide it does not accuse anyone. The record waits in the supervisor queue and no warning is sent.
The evidence rule
The AI may only report dirt it can see and name in the photo. These are never treated as dirt:
In the product
One module, three points of view
Everyone sees only what they need to act on. No training session required.
Staff
Today's tasks on a phone
The day's areas listed by due time, with a button that says exactly what to do next.
- Camera first, gallery closed, so the evidence is always fresh
- The reference photo is shown before shooting
- Score, findings and next step arrive within seconds
Supervisor
A daily review queue
Records are ordered by urgency, so the ones that triggered a warning come first.
- Reference and today's photo side by side
- Every finding links to the exact photo it came from
- Two buttons and one note close each record
Manager
Areas and schedules
Define the venue once and the daily task list builds itself from then on.
- Several schedules per area for different shifts
- Reference photos raise accuracy immediately
- Missed and late are tracked automatically
What makes it different
It learns your standard, not a generic one
Every venue has marks that will never come off and corners that always get missed. Instead of arguing with the AI about them, the supervisor writes one sentence and the system remembers it for good.
The AI gets it wrong
It reports a permanent scratch on the counter as dirt.
The supervisor corrects it
One button and one sentence explaining why.
It becomes a lesson
The note is distilled into a single instruction and attached to that area.
The next inspection is better
The lesson is fed into every future analysis of that area, so the same mistake does not come back.
AI memory
Do not flag
Do not report the permanent scratch marks on the stainless steel counter edge as dirt.
Applied in 6 inspections
Pay attention
Pay extra attention to the base of the toilet bowls; limescale builds up there and is easy to miss.
Applied in 3 inspections
Branch wide
Check the grout lines on the floor; grease film accumulates there.
Applies to every area
Reporting
A number you can act on, every month
Cleaning stops being a feeling and becomes a trend you can compare between people, areas and branches.
Branch score
One monthly figure with the change against the previous month, plus completion and on time ratios.
By staff member
Inspections, average score, warnings and late submissions per person, with a drill down into every record.
By area
The lowest scoring area sits at the top, so a chronically weak section is visible at a glance.
Audit trail
Every inspection keeps its photos, score, findings and who decided what. Ready for an external inspection.
Built for multiple locations
One standard across every country you operate in
The module was designed for chains from day one, not adapted later.
Each branch on its own clock
Schedules, missed checks, daily queues and monthly boundaries are all calculated in the branch's own time zone.
Ten languages
Staff see the task and the AI summary in their own language, including right to left layouts.
Branch level standards
Areas, schedules and AI lessons belong to the branch, so a kitchen in one city never inherits another city's exceptions.
Part of the platform
It does not stand alone
Cleaning inspections run on the same accounts, branches, roles and notifications as everything else you use.
Agentic AI
The same AI layer that writes your menu, campaigns and content also inspects your hygiene.
ExploreOrder automation
The staff who take orders are the same staff who close cleaning tasks, on one login.
ExploreCourier delivery
Kitchen and delivery operations report from one platform, with one set of permissions.
ExploreThe whole platform
Menu, stock, payments, loyalty and reporting in one place.
Explore
Questions
Frequently asked
The things venues ask us before they switch the module on.
How long does setup take?
Around fifteen minutes for a typical venue. You add your areas, take one reference photo of each and set the days and times. Tasks start generating the same day.
What if the AI blames my team unfairly?
It only reports dirt it can see and name, and when it is unsure it hands the decision to your supervisor instead of warning anyone. If it still gets it wrong, one correction removes that mistake permanently for that area.
Do we need special devices?
No. Any phone with a browser is enough, and there is a mobile app if you prefer one. No tablets, no scanners, no sensors.
What happens if the internet drops?
The task stays on the list and can be submitted once the connection returns. Late submissions are accepted and simply marked as late.
Can we use it for an official inspection?
Yes. Every submission keeps its photos, timestamp, score, findings and the supervisor decision, so you can show what was cleaned, when, by whom and in what condition it was.
How is it priced?
The module is part of the core platform, so there is no separate licence. Only the AI photo analysis consumes credit from your shared AI balance, and the operation never stops when that runs out.
Turn hygiene into something you can prove
Set it up today and see your first score before the shift ends.
Start free No credit card required to set up.