Field Service Fraud Detection Software
Field service fraud detection software makes every field visit generate its own evidence: recorded consent, bodycam video, GPS, timestamps, and a digital signature. AI then reviews 100% of visits, scoring each from 0 to 100, and only flagged work reaches a human supervisor for review.
The problem with sampling audits
Traditional fraud control in field operations is a sampling exercise: audit a small share of visits and hope for the best on the rest. The visits nobody reviews are exactly where bribery, falsified inspections, and "no evidence" reports live, and companies typically find out well after the fact, if at all.
Fluyenta inverts the model. Instead of sampling completed work, the work itself produces evidence as it happens, and AI reviews all of it.
How it works
Every visit becomes evidence
The technician works from the mobile app: the customer's consent is recorded first, the visit is captured on bodycam with GPS and timestamps, and the work order closes with a digital signature. The captured evidence is sealed with a cryptographic fingerprint, so any later alteration is detectable.
AI reviews 100%, not a sample
When the visit closes, the audio is transcribed and screened for bribery language, AI vision analyzes key frames from the video, and audio quality signals such as excessive silence, muffling, and sudden cuts are checked. Each visit receives a fraud risk score from 0 to 100.
Humans handle only what matters
Scores above the review threshold route to a supervisor. Scores above the critical threshold fire an urgent task to the supervisor immediately, with the full evidence chain attached: video, transcript, GPS, consent, and signature. Clean visits flow through untouched.
The detail auditors love
If recording were optional, the obvious loophole would be to simply not record. So the absence of evidence is itself treated as a signal: a work order without evidence does not close cleanly, and the missing evidence raises the visit's risk score on its own. Gaming the system by not recording is exactly what gets a visit flagged.
In the live production configuration, missing evidence alone adds +35 points to a visit's fraud risk score.
Built for regulated operations
- Role-gated access. Field technicians, supervisors, and administrators each see exactly their own scope, and every access is logged.
- Complete audit trails. Every upload, every analysis, every decision, and every role change lands in the audit log, available to auditors on demand.
- Thresholds without developers. Scoring weights, keywords, and escalation thresholds are dashboard configuration that the client's own managers can tune.
- Offline-first capture. Built for field crews in remote regions where connectivity cannot be assumed.
Stop sampling. Start seeing everything.
See the evidence chain and AI scoring pipeline applied to your own inspection types.
Book a consultationStraight answers
Does the AI accuse technicians of fraud?
No. The AI never accuses anyone. It scores each visit and routes the work: low scores flow through, elevated scores go to a human supervisor who reviews the actual evidence. The AI decides what is worth a human's attention, not who is guilty.
What hardware is needed?
Standard Android devices and bodycams. The client owns the hardware and Fluyenta licenses the software. Devices pair with a PIN and receive over-the-air app updates in staged rollouts.
Does it work in areas without connectivity?
Yes. The mobile app is offline-first: capture continues without signal, and encrypted uploads queue and resume automatically when connectivity returns.
Who can see the footage?
Access is role-gated, and every access to the footage is itself recorded in the audit log. Evidence is encrypted and sealed, and it is never silently deleted.
How do deployments start?
Deliberately small: one inspection type in one zone, with the evidence chain and AI scoring applied there first, so the value can be quantified before scaling.