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Banking verified Verified Outcome TRL 9

AI for Settlement Fail Prediction

domain Client: Global Custodian Bank handshake Provider: Internal / AI schedule Deploy: 2021-2024
88 Impact
Enterprise Ready
Evidence Score: 4/10
Strength: Medium

Executive Summary

ANALYST: COI RESEARCH

The bank deployed machine learning models to predict which security trades are likely to fail settlement, allowing operations teams to intervene proactively.

rate_review Analyst Verdict

"High-ROI operational AI. With the implementation of penalties for settlement failures (e.g., EU's CSDR), predicting and preventing fails directly protects the P&L and improves client service."

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

warning The Challenge

A small percentage of securities trades fail to settle on time due to data errors or inventory shortages. These failures result in regulatory penalties, interest claims, and operational rework. Historically, operations teams only reacted after a trade had already failed.

psychology The Solution

The organization analyzed millions of historical trades to train a machine learning model that predicts the probability of a trade failing to settle. The system flags high-risk trades to operations staff days before the settlement deadline, recommending specific actions to remediate the issue.

settings_suggest Technical & Deployment Specs

Integrations
Settlement System
Deployment Model
Private Cloud
Data Classification
Transaction
Estimated TCO / ROI
Medium
POC Summary ( to )

"N/A"

shield Risk Register & Mitigation

Risk Factor Severity Mitigation Strategy
Model Drift Medium Retraining

trending_up Impact Trajectory

Audited value realization curve

High prediction accuracy Verified Outcome
Primary KPIReduction in fail penalties
Audit CycleOperational efficiency

policy Compliance & Gov

  • Standards: CSDR (EU)
  • Maturity (TRL): 9
  • Evidence Score: 4/10
  • Data Class: Transaction

folder_shared Verified Assets

description
Verified Case Study
PDF • Version 1
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Technical Audit
PDF • Audited
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The "Blind Verification" Protocol

How we verified these outcomes for Global Custodian Bank without exposing sensitive IP or identities.

Private
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1. Raw Evidence

Audit ID: #PRIV-445
Evidence: Direct SQL Logs
Public
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2. Verified Asset

Outcome: Verified
Ref ID: #COI-445

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