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Deploying Interpretable AI Agents in Compliance
AI
Deploying Interpretable AI Agents in Compliance

Compliance teams are handed two blunt tools: rule engines that flag everything and models that explain nothing. This framework shows how narrow, role-based agents that argue each case as Prosecutor, Defender, and Judge, run inside existing analyst tools, and bind every decision to a versioned, signed policy can be deployed, governed, and audited, with the checkpoints, sandboxing, and rollback that regulated environments require.

Validating Source of Funds When Documents Can't Be Trusted
Document Fraud
Validating Source of Funds When Documents Can't Be Trusted

Any payslip, sale contract, or bank letter can be generated in minutes, and source of funds is where EDD programs fail exams. This framework lays out five checks (identity alignment, document type, amount plausibility, counterparty verification, and forensic authenticity) that separate real provenance from fabricated evidence, and where a human still has to decide.

Crypto Transaction Monitoring at Block Speed
Compliance
Crypto Transaction Monitoring at Block Speed

Funds cross five chains before an analyst opens the alert, and settlement is final. This framework covers on-chain behavioral baselines, laundering typologies from peel chains to bridge-hopping, sanctions exposure by hop, VASP and protocol verification, and how to tie wallet activity back to off-chain identity.

Behavioral Transaction Monitoring
Compliance
Behavioral Transaction Monitoring

Launderers already know your thresholds; rule-based monitoring hands them the blueprint. This framework replaces static amount rules with six behavioral lenses (customer baselines, transaction structure, geography, cash, counterparties, and documents) and shows how each alert is explained, escalated, and defended.

Reducing False Positives in Watchlist Screening
Compliance
Reducing False Positives in Watchlist Screening

More than nine in ten screening alerts are false positives, and the ones that matter arrive without the reasoning an examiner will ask for. This framework lays out the matching, policy, and agentic-resolution layers that clear the noise without losing coverage, and specifies what a defensible disposition has to contain.

Financial Crime In The Age Of AI
Compliance
Financial Crime In The Age Of AI

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COO of $5B AUM Bank

“We used to spend so much time stuck in AML alert backlogs – Sphinx made that go away and gave us room to scale.”

“We used to spend so much time stuck in AML alert backlogs – Sphinx made that go away and gave us room to scale.”

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 “We used to spend so much time stuck in AML alert backlogs – Sphinx made that go away and gave us room to scale.”

 “We used to spend so much time stuck in AML alert backlogs – Sphinx made that go away and gave us room to scale.”

1 hour
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Francis forde
CCO, Wert
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"Our team would spend hours resolving AML alerts and we were constantly at capacity. With Sphinx, reviews now take minutes. Time to resolution is 10x faster. It freed up a huge amount of time."

"Our team would spend hours resolving AML alerts and we were constantly at capacity. With Sphinx, reviews now take minutes. Time to resolution is 10x faster. It freed up a huge amount of time."

1 hour
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