Insights · Collections
Voice-based vulnerability detection
in debt collections.
Most collections interactions happen by phone. Voice prosody analysis detects vulnerability signals — trembling, micro-pauses, pitch collapse — that text-based systems will never see.
The collections challenge
Debt collection is one of the highest-risk customer interactions in financial services. Vulnerable customers — those experiencing mental health challenges, bereavement, or acute financial distress — are disproportionately represented in collections portfolios and disproportionately harmed by inappropriate treatment.
The FCA is clear: firms must identify vulnerability and treat customers appropriately. But most collections calls happen by phone — a channel where facial analysis is unavailable and text transcription loses the most important signals.
What voice reveals
Voice prosody analysis examines the how of speech, not the what. EchoDepth's voice module tracks:
- Pitch variation — pitch collapse indicates emotional shutdown; pitch elevation indicates acute stress
- Speech rate — sudden deceleration correlates with cognitive overload and withdrawal
- Energy levels — sustained low energy across a call indicates depression or resignation markers
- Micro-pauses — increased pause frequency before responding to financial questions indicates processing difficulty
- Vocal tremor — involuntary voice instability that is impossible to consciously suppress
Vulnerability tier classification
EchoDepth classifies vulnerability into four tiers during collections interactions:
When a threshold is breached, the interaction is redirected to a vulnerability-trained handler in real time — before harm occurs and before the FCA has grounds for enforcement.
Voice-first vulnerability detection is available now for collections teams. See the full collections use case →