PINDROP® PROTECT FRAUD ASSIST

Investigate smarter.
Close fraud cases faster.

Turn hours of case work into minutes with the first AI agent for phone fraud investigations.

Transform your case management with Fraud Assist

Handle more cases with the same team
Resolve cases faster with instant call summaries, including call resolution and intent.
Support multilingual calls
Summarizes almost any language to English in seconds with Automatic Speech Recognition (ASR).3
Spin up case notes in no time
Get to case closed faster with auto-generated case notes.

Watch how agentic fraud case investigation works

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CUSTOMER STORY

Hear from our customer: 42% boost in productivity

Learn how First National Bank of Omaha elevated its case management by investigating with speed and accuracy.

Let’s continue the conversation.

Take the first step toward a safer, more secure future for your business.

Fraud Assist FAQs

Pindrop Fraud Assist is an AI agent for phone fraud investigations that helps teams close cases faster with instant call summaries, translation of multilingual calls to English, and automatic case notes.

By summarizing calls instantly and automatically generating case notes, analysts save time spent manually reviewing the entire call, turning hours of work into minutes.

Yes. It supports multilingual calls by translating any language into a plain English summary; transcription quality may vary based on audio conditions, speaker characteristics, and language complexity.

Yes. It offers audio playback speed control, allowing analysts to review calls faster.

Yes. Fraud Assist auto-generates case notes to capture key details and support consistent decisions.

In Pindrop beta programs, teams saw up to 70% faster case resolution1  and a 42% boost in productivity.2

Citations

1 Average case investigation time reduction from Pindrop® Protect Fraud Assist beta with three Pindrop customers.
2 Derived from Pindrop® Protect Fraud Assist beta with a large national bank from August to December 2025. Findings represent average values across the beta period compared to the pre-beta period (January to August).
3 Transcription quality may vary based on audio conditions, speaker characteristics, and language complexity.