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Banking verified Verified Outcome TRL 8

Predictive Settlement Failure Analytics

domain Client: A global trust and custodian bank handshake Provider: Google Cloud schedule Deploy: 2023
90 Impact
Enterprise Ready
Evidence Score: 4/10
Strength: Medium

Executive Summary

ANALYST: COI RESEARCH

Anticipating the T+1 settlement regime, a leading custodian bank partnered with a hyperscaler to build an AI model predicting trade settlement failures. The solution shifts operations from reactive remediation to proactive prevention, safeguarding market liquidity.

rate_review Analyst Verdict

"A critical application of 'predictive operations' in a systemic risk context. By successfully predicting failures before they occur, the bank demonstrates how AI can mitigate the liquidity drag inherent in shortened settlement cycles."

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Full Audit Report Available Includes Risk Register, Technical Specs & Compliance Data.

warning The Challenge

The transition to T+1 settlement cycles compressed the window for resolving trade discrepancies. With ~2% of US Treasury transactions failing daily, the inability to predict failures created significant capital costs, liquidity risks, and operational friction for clients.

psychology The Solution

The bank leveraged Google Cloud to develop an ML model trained on millions of historical trades. The system analyzes transaction variables in real-time to generate a probability score for settlement failure, alerting clients to high-risk trades before the deadline.

settings_suggest Technical & Deployment Specs

Integrations
Custody Platforms, Client Portals
Deployment Model
Cloud Native ML
Data Classification
Transactional / Market Data
Estimated TCO / ROI
Medium
POC Summary (2022 to 2023)

"Validated on US Treasury market data before broader rollout."

shield Risk Register & Mitigation

Risk Factor Severity Mitigation Strategy
Model Drift Medium Continuous retraining on new market condition data.

trending_up Impact Trajectory

Audited value realization curve

Predicts 40% of failures in Fed-eligible securities Verified Outcome
Primary KPI90% accuracy in failure prediction
Audit CycleAnalyzed millions of historical trades

policy Compliance & Gov

  • Standards: SEC T+1 Mandate
  • Maturity (TRL): 8
  • Evidence Score: 4/10
  • Data Class: Transactional / Market Data

folder_shared Verified Assets

description
Verified Case Study
PDF • Version 1
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Technical Audit
PDF • Audited
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Security Architecture

The "Blind Verification" Protocol

How we verified these outcomes for A global trust and custodian bank without exposing sensitive IP or identities.

Private
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1. Raw Evidence

Audit ID: #PRIV-970
Evidence: Direct SQL Logs
Public
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2. Verified Asset

Outcome: Verified
Ref ID: #COI-970

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