This guide helps teams position Fraud Screen as a compliance-first, risk-based assessment (RBA) capability for first-time or infrequent inbound callers—with clear guardrails and a conservative privacy posture.

1) Definition (what Fraud Screen is)

Fraud Screen is an early-call risk-based assessment that provides a risk signal on inbound calls—especially when the caller is not enrolled and has limited prior contact history.

Purpose: support proportional controls (e.g., when to apply step-up checks) before sensitive servicing occurs.
Output: a risk indicator/score suitable for routing, agent guidance, or policy rules.
Practical intent: help teams avoid “one-size-fits-all” friction while staying consistent and auditable.

For product specifics, see the VoxEQ Fraud Screen product page.

2) Guardrails (what it is NOT)

Fraud Screen is intentionally scoped. It is not:

Authentication (it does not “prove identity”).
Identity verification (ID&V) or document verification.
A replacement for customer authentication, security questions, or step-up processes.
A decision to approve/deny a transaction on its own; it is an input to controls.

Recommended phrasing: “Fraud Screen provides a risk signal to help determine the appropriate level of verification.”

3) Regulator-neutral framing (KYC/RBA/proportional controls)

Use language that maps to common supervisory expectations without anchoring to a specific regulator:

Risk-based approach (RBA): apply controls commensurate with assessed risk.
Proportionality: stronger checks for higher-risk interactions; streamlined flow for lower-risk.
Consistency & governance: documented policies, thresholds, QA, and exception handling.
Human-in-the-loop: agents and rules determine the next step; the signal supports decisioning.

Avoid: “guarantees,” “fraud-proof,” or implying the signal alone satisfies KYC obligations.

4) Privacy posture (conservative, low-handling design)

Position the data-handling model plainly:

No enrollment required (works for first-time/infrequent callers).
No stored voiceprints / no persistent “template database” for matching.
No need to store call recordings or audio files for the risk signal (processing can be in-session with transient buffering).
No back-office customer data required (no documents, no customer master-file ingestion needed to generate the signal).
Low retention surface: keep only what is necessary for operations/governance, with configurable retention aligned to policy.
Consent & notice: support transparent notice language focused on “risk assessment for security.”
Cross-border exposure: can be deployed to keep processing in-region, reducing the need for international transfers.

Use “voice signals” / “risk assessment” more than “biometrics” unless a customer’s legal team requires that term.

5) Where it fits in the call flow (upstream of ID & verification)

Fraud Screen is best described as pre-verification triage:

Call connects (IVR/ACD)
Fraud Screen risk assessment (early-call)
Policy action based on risk (route, alert, or step-up)
ID&V / authentication steps (customer-specific controls)
Servicing / sensitive actions
Post-call QA / governance (as applicable)

6) Best-fit industries & high-risk, low-frequency scenarios

Ideal industries

Financial services (retail banking, credit unions, card servicing)
Insurance (claims and policy servicing)
Telecom (account changes, number/SIM-related requests)
Utilities (account takeover risk with limited prior calls)
Healthcare (member servicing where access is sensitive)
Government / public sector (benefits and case updates)

High-risk, low-frequency scenarios

Password resets / credential recovery by phone
Change-of-contact details (email, phone, address)
Add/replace payee or payout destination changes
High-value refunds, claims, or payout requests
Reactivation/unlock requests (accounts, devices, services)
“New caller” to an established account, or unusual call patterns

7) AE-ready talk tracks (compliance-first)

One-sentence pitch

“Fraud Screen adds an early-call risk-based assessment for first-time or infrequent callers so you can apply proportional verification—without enrollment or stored voiceprints.”

30-second pitch

“Many contact centers face a hard tradeoff: either apply heavy verification to everyone or accept inconsistent agent judgment—especially for first-time or infrequent callers where enrollment-based methods don’t work. Fraud Screen provides an early-call risk signal that helps you decide when to step up verification, route to a specialized queue, or continue the standard flow. It is not authentication or ID&V; it’s a governed input to your existing controls, designed with a conservative privacy posture—no enrollment, no stored voiceprints, and no need to store audio files for the signal.”

Discovery questions

Where do you see the highest impostor risk in inbound calls (resets, detail changes, payouts)?
How do you handle first-time/infrequent callers today—same flow as everyone else?
Which call types require step-up verification, and what triggers it now?
What is your target balance between customer friction and fraud exposure?
What privacy constraints do you have (retention, regional processing, vendor access to customer data)?
How do you measure outcomes today (AHT, abandon rate, fraud loss, QA findings)?

Common objections + compliant responses

Objection: “So this authenticates the caller?”

Response: “No—Fraud Screen does not authenticate or verify identity. It provides a risk-based assessment to help determine how much verification is appropriate for this interaction.”

Objection: “Is this ID&V or KYC?”

Response: “It doesn’t replace ID&V/KYC controls. It supports an RBA/proportional controls program by guiding when to apply your existing verification steps.”

Objection: “Do we need enrollment or a voiceprint database?”

Response: “No. It is designed for first-time/infrequent callers and does not rely on a stored voiceprint database.”

Objection: “Will this require us to store recordings?”

Response: “The risk signal can be generated without storing call audio files. Any retention is policy-driven and can be minimized for governance needs.”

Objection: “What about false positives and customer impact?”

Response: “The control action should be proportional—typically ‘step up verification’ or ‘route for review,’ not deny service. Thresholds and playbooks can be tuned and audited.”

Objection: “Our privacy team is sensitive to cross-border processing.”

Response: “We can support in-region processing to reduce international transfer requirements, and the design avoids back-office customer data handling for the signal.”

8) Ready-to-use snippets

A) DSR / privacy notice copy (customer-facing)

We use an automated risk assessment during inbound calls to help protect customers and apply proportionate security checks. This process is designed to operate without enrollment and without maintaining a stored voiceprint database. The assessment is used to determine whether additional verification steps are appropriate. Data is handled under our security and privacy policies with retention minimized to what is necessary for operations and governance.

(Adjust to your jurisdictional terminology and internal policy wording.)

B) Marketplace description (short)

Fraud Screen provides an early-call risk-based assessment for inbound contact centers, with particular value for first-time or infrequent callers where enrollment-based approaches are impractical. The output is a risk signal that can drive routing, agent guidance, and step-up verification policies. It is not authentication or ID&V; it complements existing controls using a proportional, governed approach. Designed with a conservative privacy posture: no enrollment, no stored voiceprints, and no need to store audio files for the signal.

C) Short email to a Genesys AE

Subject: Add compliance-first RBA to inbound voice flows (no enrollment)

Hi [Name],

We’re seeing demand from regulated contact centers for a lightweight, compliance-first way to triage impostor risk on inbound calls—especially for first-time or infrequent callers where enrollment doesn’t work.

VoxEQ Fraud Screen provides an early-call risk-based assessment that can trigger proportional actions (route, alert, or step-up verification) and fits upstream of existing ID&V. It’s not authentication, and it’s designed with a conservative privacy posture (no enrollment, no stored voiceprints, no need to store audio files for the signal).

If helpful, I can share a 10-minute overview and example call-flow placement.

Best, [Your name] [Title]

VoxEQ Fraud Screen: Messaging & Enablement Guide (Compliance-First RBA)