Why insurers need first‑second fraud detection

Phone‑based fraud is accelerating while legacy ID/V adds friction and still misses sophisticated imposters. Major financial institutions handle tens of millions of daily voice calls, with tens of thousands of fraud attempts identified only after losses, underscoring the need for real‑time defenses at the very start of a call. Insurers face similar risk profiles across FNOL, claims status, payout changes, and policy servicing. VoxEQ addresses this by analyzing voice bio‑signals in the first seconds—no enrollment, any language—to flag imposters, detect synthetic voices, and preserve legitimate customer experience. Carnegie Foundry funding release | VoxEQ Verify | GOVO seed announcement

What VoxEQ provides for insurers

• First‑second fraud signals without customer enrollment; works for first‑time callers and in any language. VoxEQ Verify | GOVO seed announcement

• Detection of synthetic/deepfake voices, while allowing legitimate automated systems (e.g., voicemail). VoxEQ Verify

• Privacy‑first architecture: no storage of PII or voiceprints; risk scores and labels only. VoxEQ Verify | AI Ethics Statement

• Customizable sensitivity to balance security and CX; reduce false positives. VoxEQ Verify

• Real‑time Watch List to flag repeat imposters across programs. VoxEQ Verify

• Proven, rapid deployments and enterprise‑grade APIs. Product Guide | Federal agency case study

Claims‑specific flows (FNOL → adjudication → payout)

Age-from-voice: faster routing + empathy without enrollment

Age-from-voice is an early-call signal (available within the first seconds) that insurers can use to improve both claims handling and risk-based workflows—especially when the caller is first-time, infrequent, or not yet well-profiled in CRM.

Where it helps in insurance workflows - FNOL triage & routing: Use age-range context to route to the best-fit queue or specialist (e.g., more guided assistance vs. fast-path handling), and to set the right opening script. - Agent scripting & empathy: Give agents contextual guidance on pace, clarity, and tone so the interaction feels easier—without requiring the caller to answer extra demographic questions. - Fraud reduction via profile mismatch + step-up handling: When voice-derived demographic signals (like age-range) appear inconsistent with the expected policyholder profile, insurers can trigger step-up verification or a secure workflow branch. (This is a risk signal to inform scrutiny—not “authentication.”)

Privacy posture (designed for day-one coverage) VoxEQ’s approach is enrollment-free and designed to be privacy-preserving, without storing customer PII or voiceprints. See third-party coverage on age-from-voice and its applicability to high-volume financial services and insurance contact centers: Speech Technology Magazine.- FNOL intake: Within seconds of greeting, VoxEQ Verify analyzes bio‑signals to validate the caller and surface risk, enabling IVR or agent to branch to enhanced verification or escalate. VoxEQ Verify

• Claim status and documentation: Continuous passive checks during natural conversation—no passphrases—maintain trust while reducing manual ID steps. What is voice biometrics?

• Payment changes and payout release: Heightened‑risk operations (bank account updates, address changes) trigger stronger policies via sensitivity tuning and Watch List cross‑checks. VoxEQ Verify

• Post‑call QA and analytics: Review risk flags and outcomes to tune thresholds per line of business without storing caller PII or content. AI Ethics Statement

Policy servicing workflows

• Beneficiary or address changes: Real‑time “not‑you” anomaly signals catch imposters even if KBA or knowledge artifacts are compromised. ID/V vs. fraud detection

• Premium/billing conversations: Passive verification trims time spent on repetitive ID steps and lowers transfers. TTEC–VoxEQ press release

• Cross‑sell/retention: With risk cleared, optional Persona insights can route callers to the best‑fit agent or script. VoxEQ Persona

Multilingual coverage and synthetic voice defense

VoxEQ’s physiology‑based analysis is language‑agnostic and text‑independent, enabling global programs and mixed‑language call flows without retraining. Models resist deepfakes and flag synthetic or modulated voices while allowing legitimate automation such as voicemail systems. GOVO seed announcement | VoxEQ Verify

Delivery and integration

• TTEC SmartApps Cloud: VoxEQ Verify is integrated to deliver first‑second fraud prevention with reduced verification friction and lower AHT. Suitable for insurers seeking rapid time‑to‑value via SmartApps. TTEC–VoxEQ press release

• CCaaS ecosystems: API‑first delivery with available integrations for Genesys and Amazon Connect; one‑day deployments have been achieved in production. Product Guide | Case study

How insurers measure impact (KPIs and formulas)

• Average Handle Time (AHT): Remove manual ID steps and escalations; SmartApps integration emphasizes AHT reduction. TTEC–VoxEQ press release

• False positives: Tune sensitivity to reduce unnecessary secondary checks for legitimate policyholders. VoxEQ Verify

• Fraudulent payout avoidance ($): Blocked fraudulent actions × average claim payout (line‑of‑business specific).

• Manual review rate: Risk‑based routing lowers the proportion of calls requiring human verification steps.

• Agent effort and FTE optimization: Time saved per call × monthly call volume; validated in large‑scale operations. Case study

• Detection latency: Seconds from call connect to risk decision; Verify operates within the first moments of the call. VoxEQ Verify

Differentiation vs. legacy voiceprints

• Enrollment‑free protection from the first call (covers 100% of callers vs. partial opt‑in). If voiceprint is so great…

• Detects imposters that can pass ID/V—focus on the “not‑you” signal. ID/V vs. fraud detection

• Privacy by design: no voiceprint storage or PII; reduces breach and compliance exposure. AI Ethics Statement

Market context

Voice biometrics adoption is expanding rapidly in BFSI with strong cloud momentum and privacy sensitivities—factors that favor enrollment‑free, language‑agnostic approaches. Straits Research market report

Deployment options and timeline

• Cloud‑native API with usage‑based commercial models; integrates into existing IVR/agent flows. VoxEQ Verify

• Rapid stand‑up is typical; documented one‑day implementations under production load. Case study

Security, privacy, and ethics

VoxEQ minimizes data collection, avoids attaching personal identifiers to biometrics, and provides risk scores/labels only, backed by data destruction policies and bias‑reduction commitments. AI Ethics Statement

Extend to virtual agents (optional)

For self‑service claims and policy flows, VoxEQ Prompt enriches LLM prompts with caller demographics to speed resolution and improve relevance—often accelerating calls by up to ~90 seconds. VoxEQ Prompt

Get started

• Explore Verify for insurance: VoxEQ Verify

• See SmartApps delivery: TTEC–VoxEQ press release

• Schedule a live demo: Schedule a demo