How to Detect Insurance Fraud with Call Analysis and AI

Why calls are the first line of fraud detection

The initial claims declaration is when the policyholder constructs their narrative. Inconsistencies, internal contradictions, excessive or missing details, and atypical emotional tone are signals that experienced fraud investigators learn to recognize. The problem is that analyzing audio recordings is slow and expensive.

With automatic transcription, the text of every call can be analyzed in seconds for linguistic patterns associated with fraud, without needing to listen to each recording. This enables applying fraud screening to all claims declarations, not just those that already raise suspicion.

5 linguistic signals of potential fraud

1. Temporal inconsistencies

Premeditated fraud typically involves a constructed narrative that, under analysis, contains contradictions in the chronology: the order of events changes between different parts of the call, or verb tenses are inconsistent with the nature of the declared event.

2. Atypical level of detail

Two extremes raise alerts: excessive detail on irrelevant aspects (sign of a prepared narrative) and absence of detail on aspects any real witness would remember (sign of no lived experience of the event).

3. Resistance to clarifying questions

Policyholders describing real events generally respond fluently to clarifying questions. Evasive answers, topic changes, or blocks on specific questions are warning indicators.

4. Implicit process references

Phrases like "and does that cover...?" or "to get paid I need to...?" in the initial declaration call — before being informed of the process — indicate prior knowledge of the claims process.

5. Inconsistencies with history

Analysis of the same policyholder's previous transcripts can reveal patterns: identical vocabulary across different claims, similar circumstances, or discrepancies with previous declarations.

5-10%

of total premiums estimated in fraud in the insurance sector

2 min

to analyze the transcript of a claims call

65%

of fraud cases contain detectable linguistic signals in the initial call

Implementing a fraud screening system

The most efficient process: automatically transcribe all claims calls with CallsIQ, apply a checklist of linguistic indicators to each transcript, and escalate only cases exceeding a threshold to the fraud investigation team.

Important note: Linguistic indicators are warning signals, not proof of fraud. They should be used to prioritize investigation, not make automatic decisions. A well-calibrated system reduces detection time without generating false positives that damage relationships with legitimate policyholders.