Guide · Audit integrity
Desk-filled audits: how to tell if a field audit really happened.
Some audits are filled in from a desk. Recycled photos and impossibly fast submissions slip through, and a disputed score has no evidence behind it.
Signs an audit was not done properly
- Photos taken before the visit date or uploaded from the gallery.
- The same photo, or a near copy, used across several audits.
- An audit completed far faster than the checklist could be done.
- Identical answer patterns across different sites.
- Check-in location far from the site, or a mocked location.
Controls that stop it
| Control | What it prevents |
|---|---|
| Geo-fence check-in at the site pin, with mock-location detection | Audits started from elsewhere |
| In-app camera only, with location and time embedded in each photo | Old or gallery photos |
| Time-motion check against the template | Audits rushed or filled in afterwards |
| Duplicate photo and answer-pattern checks across the network | Recycled evidence and copy-paste answers |
| Sampled QC review before release | Anything the automatic checks miss |
| Payout only after QC passes | Paying for work that did not happen |
Handling flags fairly
- Treat a flag as a reason to review, not proof of fraud.
- Show the reviewer the evidence behind the flag.
- Allow rework where the issue was genuine, such as poor signal.
- Record the outcome and feed it into auditor ratings.
How AutoAudit does it
AutoAudit runs field audits for compliance, retail-ops and quality teams from requirement to verified report and auditor payout. Each requirement is scored against eligible territory managers on proximity, rating, domain expertise, capacity headroom and SLA history, with tunable weights, and the top match can auto-assign against an SLA clock. Audits run on clause-locked templates from a certified base library, where critical items cannot be deleted or softened. Every submission is screened: geo-fence check-in with mock-location detection, in-app capture with EXIF, location and time embedded in each photo, a time-motion model that flags audits finished impossibly fast, and network-wide checks for duplicate photos and repeated answers. QC is a hard gate: nothing reaches the client and no escrowed payout is released until a sampled review passes. Client, manager, auditor and HQ each get their own console on the same live record.
Questions
How can I tell if a field audit was faked?
Look for gallery or old photos, duplicate photos across audits, completion times too short for the checklist, identical answer patterns and check-ins away from the site.
How do you prevent fake audits?
Geo-fence check-in with mock-location detection, in-app capture with location and time embedded, time-motion checks, network-wide duplicate checks, sampled QC and payout only after QC passes.
Is a fraud flag proof that the auditor cheated?
No. It is a reason to review the evidence; genuine issues such as poor signal should be allowed rework.
See it on your own data. AutoAudit — Proof of every field visit. Book a 30-minute working session with an engineer.