An audit score without hours data is meaningless.
Anyone can score a washroom. Only Operify AI scopes that score to the hours actually logged in the area. If a zone was contracted six hours and received two, the audit does not just tell you it failed. It tells you why.
SAEvery failure becomes tracked work.
- Templates group weighted, scored items with critical flags and evidence requirements
- Audits run as tasks, scheduled or started ad-hoc from a phone
- On submit, Operify AI computes a weighted percentage, resolves the rating band and sets pass or fail. A failed critical item forces a fail regardless of the score
- Every failed item raises a finding and a routed, SLA'd corrective task. A passed item closes matching open findings
- Repeat-failure analysis shows whether your fixes are actually sticking, or whether the same site fails the same item every month
Stop defending the service. Show it.
A signed public link gives your client a clean score page: the cleanliness score, the trend, per-area scores. No auditor names, no personal data. Proof, without exposing your operation. The contractors who show their data keep their contracts, and win the next ones.
The washroom tells you before the client does.
A printed QR in a washroom or reception becomes an anonymous feedback channel. A customer scans it and sees an honest status ("serviced less than an hour ago"). They report an issue. When reports since the last service hit a threshold, Operify AI raises a routed task with an SLA. A completed service resets the window, which is what powers the fixed-before-anyone-re-reported-it measure. The complaint gets caught before it reaches your account manager.
Let the customer thank them by name.
Every operative carries a rotating personal QR. A customer scans it and thanks them directly. The customer stays anonymous. In an industry with brutal retention, being thanked matters more than most software people realise.