Financial Services

A freeze you can't defend costs as much as the fraud you missed.

TrustHouse ContextTalk judges a suspicious transaction against the entity's entire behavioral lineage, and prices the exposure of acting on it.

For

Compliance, financial-crime, and risk leaders

The problem

False alarms and freezes that cannot be defended

The outcome

Defensible decisions and real-time risk

Who this is for

Chief compliance officers, heads of financial crime and anti-money-laundering, chief risk officers, and treasury and liquidity teams.

What is broken today

Compliance teams cannot separate a genuine laundering threat from a false alarm without the entity's full behavioral history. Freeze the wrong account and you breach an SLA and lose a customer. Miss the real one and you carry regulatory liability. Collateral risk shifts with the market and stays invisible until it is a problem.

What teams ask

The questions your best people wish they could just ask.

Is this specific $50,000 international wire anomaly an actual money laundering threat based on the entity's complete behavioral lineage, or is it a false alarm triggered by a standard supply chain ledger change?
If we freeze this account, what is the regulatory compliance risk and customer SLA exposure?

The unlock

Transaction-to-Regulatory audits ledgers against county property deeds to expose laundering and title fraud. Exposure-to-Liquidity injects live property valuations into portfolios to simulate collateral risk continuously.

What this changes

Four shifts your operating model feels immediately.

01

Controlled access

Ledger, customer, and counterparty systems answer under policy, with every query logged.

02

Speed to answer

An anomaly is judged against full history in the moment rather than in a case queue.

03

Governed lineage

Every decision to freeze or clear carries the evidence trail that defends it.

04

Grounded answers

Answers rest on the entity's actual behavior rather than a threshold rule.

The language of your industry

A question asked in your language returns an answer in it.

Your teams already describe the work this way. ContextTalk maps each term to a semantic context layer.

Behavioral Lineage
The complete record of how an entity has transacted over time.
Judges an anomaly against that whole history rather than against a single flagged event.
Transaction-to-Regulatory
The path from a single transaction to the regulatory obligation it triggers.
Audits ledgers against public property and deed records to expose laundering and title fraud.
Exposure-to-Liquidity
The link between asset exposure and the liquidity available to cover it.
Injects live property valuations into portfolios to simulate collateral risk continuously.

What you get

Outcomes leaders sign for.

Regulatory ledger audit

Catch laundering and title fraud with the trail attached.

Liquidity risk modeling

Watch collateral exposure move in real time.

Defensible action

Freeze or clear with the exposure quantified.

Grounded escalation

Every case carries the reasoning that produced it, ready for audit.

Questions we get asked

Straight answers to the recurring ones.

What is behavioral lineage?
The complete history of how an entity has transacted, used to judge whether a new anomaly is genuinely out of character.
Does this replace our transaction monitoring?
No. It resolves the alerts that monitoring produces, and attaches the evidence trail behind each decision.
How does this help at audit?
Every answer records the data, policies, and reasoning behind it, so the trail exists before anyone asks for it.

Financial Services

Know it's fraud. Just ask.