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Banking verified Verified Outcome TRL 9

Generative AI for Developer Velocity

domain Client: A major US-based global investment bank handshake Provider: Microsoft / GitHub schedule Deploy: 2024
88 Impact
Enterprise Ready
Evidence Score: 5/10
Strength: High

Executive Summary

ANALYST: COI RESEARCH

Facing massive annual technology spend, this institution deployed Generative AI coding assistants to its engineering workforce. The initiative has successfully decoupled software output from linear headcount growth, automating rote coding tasks and accelerating modernization efforts.

rate_review Analyst Verdict

"This use case illustrates the 'deflationary' economics of AI in IT operations. The scale of deployment (180k+ potential users) and the verified time savings validate GenAI as a legitimate productivity lever for large-scale legacy modernization."

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

warning The Challenge

The bank operates a massive, complex legacy technology estate with an annual spend of ~$12B. Manual coding processes, technical debt, and routine maintenance tasks constrained developer velocity and diverted senior engineering talent from high-value architectural work.

psychology The Solution

The bank rolled out GitHub Copilot and proprietary GenAI tools to approximately 180,000 employees (including the developer corpus). The tools were integrated into the IDE to assist with boilerplate generation, code reviews, and legacy code refactoring.

settings_suggest Technical & Deployment Specs

Integrations
GitHub, IDEs
Deployment Model
SaaS (Enterprise)
Data Classification
Proprietary Source Code
Estimated TCO / ROI
Medium (Per Seat Licensing)
POC Summary (2023 to 2024)

"N/A - Enterprise Rollout"

shield Risk Register & Mitigation

Risk Factor Severity Mitigation Strategy
IP Leakage / Code Security High Enterprise-grade instances with zero-retention policies for training data.

trending_up Impact Trajectory

Audited value realization curve

100,000 developer hours saved per week Verified Outcome
Primary KPI180,000 employees with AI access
Audit Cycle$2-2.5B annualized savings projected (2026)

policy Compliance & Gov

  • Standards: Internal IT Security Standards
  • Maturity (TRL): 9
  • Evidence Score: 5/10
  • Data Class: Proprietary Source Code

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 A major US-based global investment bank without exposing sensitive IP or identities.

Private
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1. Raw Evidence

Audit ID: #PRIV-969
Evidence: Direct SQL Logs
Public
public

2. Verified Asset

Outcome: Verified
Ref ID: #COI-969

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