Case Study: Silence the Noise, Hear the Signal

How a Latin American Banking Giant reduced false positives by 95% without changing their archive.

January 6, 2026

The Client

A top-tier Latin American Bank with significant US operations. The Status: Dual Registrant (RIA and Broker-Dealer). The Volume: Thousands of daily communications across email, Bloomberg Chat, and WhatsApp.

The Challenge

As a dual registrant, the firm is subject to strict SEC and FINRA supervision rules. They relied on a "Gold Standard" legacy archiving vendor to monitor communications.


The Failure
The legacy vendor used static keyword lists ("Lexicons").


The Cultural Friction
Because the bank's staff communicated in a mix of English, Spanish, and Portuguese, the keyword filters were failing catastrophically. Innocent phrases in one language were triggering "Fraud" or "Guarantee" alerts in the other.


The Burden
The Chief Compliance Officer was drowning in noise. They were reviewing hundreds of "false positive" flags every week wasting high-value hours clearing benign emails just to satisfy the audit trail.

The Solution

The bank could not simply "rip and replace" their archive due to data retention policies. Instead, they deployed Surveill as an intelligence layer on top of it.


1. Seamless Connection (Nexus)
Using [Nexus], Surveill connected directly to the existing archive's API.

  • The Value: The bank kept their system of record. Surveill simply ingested the data stream in real-time, analyzed it, and fed the results back to the compliance dashboard. Zero data migration required.


2. Cross-Lingual Intent Analysis (Interpret)
Surveill replaced "Keywords" with "Intent."


  • The Logic: [Interpret] analyzed the communications for context, not just vocabulary. It understood that a client asking "¿Me garantizas que llega mañana?" (Do you guarantee it arrives tomorrow?) regarding a document delivery is not a promissory guarantee of investment returns.


  • The Filter: The system automatically dismissed the linguistic noise that the legacy vendor flagged, isolating only the true behavioral risks.

The Results

The impact on the compliance team’s quality of life was immediate.


Here is the corrected Legal Operations / Billing Case Study.


I have adjusted the language to strictly emphasize visibility and identification ("Uncovered") rather than implying the cash has already been fully collected ("Recovered"). This frames the value as business intelligence and financial clarity.

There is so much left to build.

Surveill delivers critical outcomes for financial institutions and law firms. 

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Case Study: Silence the Noise, Hear the Signal

How a Latin American Banking Giant reduced false positives by 95% without changing their archive.

January 6, 2026

The Client

A top-tier Latin American Bank with significant US operations. The Status: Dual Registrant (RIA and Broker-Dealer). The Volume: Thousands of daily communications across email, Bloomberg Chat, and WhatsApp.

The Challenge

As a dual registrant, the firm is subject to strict SEC and FINRA supervision rules. They relied on a "Gold Standard" legacy archiving vendor to monitor communications.

 

The Failure

The legacy vendor used static keyword lists ("Lexicons").

 

The Cultural Friction

Because the bank's staff communicated in a mix of English, Spanish, and Portuguese, the keyword filters were failing catastrophically. Innocent phrases in one language were triggering "Fraud" or "Guarantee" alerts in the other.

 

The Burden

The Chief Compliance Officer was drowning in noise. They were reviewing hundreds of "false positive" flags every week wasting high-value hours clearing benign emails just to satisfy the audit trail.

The Solution

The bank could not simply "rip and replace" their archive due to data retention policies. Instead, they deployed Surveill as an intelligence layer on top of it.

 

1. Seamless Connection (Nexus)

Using [Nexus], Surveill connected directly to the existing archive's API.

 

  • The Value: The bank kept their system of record. Surveill simply ingested the data stream in real-time, analyzed it, and fed the results back to the compliance dashboard. Zero data migration required.

 

2. Cross-Lingual Intent Analysis (Interpret)

Surveill replaced "Keywords" with "Intent."

 

  • The Logic: [Interpret] analyzed the communications for context, not just vocabulary. It understood that a client asking "¿Me garantizas que llega mañana?" (Do you guarantee it arrives tomorrow?) regarding a document delivery is not a promissory guarantee of investment returns.

 

  • The Filter: The system automatically dismissed the linguistic noise that the legacy vendor flagged, isolating only the true behavioral risks.

The Results

The impact on the compliance team’s quality of life was immediate.

[insert table graphic]

 

Here is the corrected Legal Operations / Billing Case Study.

 

I have adjusted the language to strictly emphasize visibility and identification ("Uncovered") rather than implying the cash has already been fully collected ("Recovered"). This frames the value as business intelligence and financial clarity.

There is so much left to build.

Surveill delivers critical outcomes for financial institutions and law firms. 

Let Us Build For You

Built by MIT-Powered AI Expertise, Trusted by Leaders

Alumni & Veterans Of

Case Study: Silence the Noise, Hear the Signal

How a Latin American Banking Giant reduced false positives by 95% without changing their archive.

January 6, 2026

The Client

Understanding Client Needs

A top-tier Latin American Bank with significant US operations. The Status: Dual Registrant (RIA and Broker-Dealer). The Volume: Thousands of daily communications across email, Bloomberg Chat, and WhatsApp.

The Challenge

The "Spanglish" & Lexicon Trap

As a dual registrant, the firm is subject to strict SEC and FINRA supervision rules. They relied on a "Gold Standard" legacy archiving vendor to monitor communications.


The Failure
The legacy vendor used static keyword lists ("Lexicons").


The Cultural Friction
Because the bank's staff communicated in a mix of English, Spanish, and Portuguese, the keyword filters were failing catastrophically. Innocent phrases in one language were triggering "Fraud" or "Guarantee" alerts in the other.


The Burden
The Chief Compliance Officer was drowning in noise. They were reviewing hundreds of "false positive" flags every week wasting high-value hours clearing benign emails just to satisfy the audit trail.

The Solution

Intelligent Overlay (No Migration)

The bank could not simply "rip and replace" their archive due to data retention policies. Instead, they deployed Surveill as an intelligence layer on top of it.


1. Seamless Connection (Nexus)
Using [Nexus], Surveill connected directly to the existing archive's API.

  • The Value: The bank kept their system of record. Surveill simply ingested the data stream in real-time, analyzed it, and fed the results back to the compliance dashboard. Zero data migration required.


2. Cross-Lingual Intent Analysis (Interpret)
Surveill replaced "Keywords" with "Intent."


  • The Logic: [Interpret] analyzed the communications for context, not just vocabulary. It understood that a client asking "¿Me garantizas que llega mañana?" (Do you guarantee it arrives tomorrow?) regarding a document delivery is not a promissory guarantee of investment returns.


  • The Filter: The system automatically dismissed the linguistic noise that the legacy vendor flagged, isolating only the true behavioral risks.

The Results

95% Noise Reduction

The impact on the compliance team’s quality of life was immediate.


Here is the corrected Legal Operations / Billing Case Study.


I have adjusted the language to strictly emphasize visibility and identification ("Uncovered") rather than implying the cash has already been fully collected ("Recovered"). This frames the value as business intelligence and financial clarity.

There is so much left to build.

Surveill delivers critical outcomes for financial institutions and law firms. 

Let Us Build For You

Built by MIT-Powered AI Expertise, Trusted by Leaders

Alumni & Veterans Of