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Banking verified Verified Outcome TRL 9

AI for Internal Audit Automation

domain Client: Global Systemically Important Bank handshake Provider: Internal Analytics Platform schedule Deploy: 2020-2023
86 Impact
Enterprise Ready
Evidence Score: 4/10
Strength: Tier 2

Executive Summary

ANALYST: COI RESEARCH

A large global bank applied machine learning to internal audit workflows, shifting from sampling-based reviews to full-population testing.

rate_review Analyst Verdict

"A meaningful productivity and assurance improvement for the third line of defense when paired with strong human oversight."

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

warning The Challenge

Traditional audit methods relied on limited sampling, leaving large portions of transaction populations untested. This created blind spots and increased the risk of undetected control failures in complex, high-volume environments.

psychology The Solution

The bank deployed analytics models to scan entire datasets and surface anomalies for auditor review. Human auditors remained responsible for judgment and escalation, ensuring AI augmented rather than replaced audit expertise.

settings_suggest Technical & Deployment Specs

Integrations
ERP and ledger systems
Deployment Model
Hybrid
Data Classification
Internal / Confidential
Estimated TCO / ROI
Medium
POC Summary ( to )

"Incremental rollout"

shield Risk Register & Mitigation

Risk Factor Severity Mitigation Strategy
Model Over-Reliance Medium Mandatory human validation

trending_up Impact Trajectory

Audited value realization curve

Full population testing enabled Verified Outcome
Primary KPIReduction in manual sampling
Audit CycleEarlier risk identification

policy Compliance & Gov

  • Standards: Internal Audit Standards
  • Maturity (TRL): 9
  • Evidence Score: 4/10
  • Data Class: Internal / Confidential

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 Global Systemically Important Bank without exposing sensitive IP or identities.

Private
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1. Raw Evidence

Audit ID: #PRIV-379
Evidence: Direct SQL Logs
Public
public

2. Verified Asset

Outcome: Verified
Ref ID: #COI-379

Strategic Action Center

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