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Banking TRL TRL 9

Greenfield Cloud-Native Core Banking

domain Client: Pan-Asian Banking Group handshake Provider: Thought Machine schedule Deploy: 18 Months
92 Impact
Enterprise Ready
Evidence Score: 8/10
Strength: Tier 2

Executive Summary

ANALYST: COI RESEARCH

Launch of a standalone digital bank on a cloud-native, headless core banking platform, bypassing legacy technical debt to deliver a fully automated experience.

rate_review Analyst Verdict

"Proven 'speedboat' strategy; key success factor is keeping the new stack isolated from legacy core dependencies to ensure agility."

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

warning The Challenge

The incumbent bank recognized that its legacy mainframe core banking systems were too rigid and costly to support the rapid product iteration required to compete with agile fintechs and neobanks. Modifying the existing core to support real-time onboarding and flexible product design would have taken years and incurred massive technical risk. They needed a way to launch a separate, purely digital brand that could operate with the agility of a startup while leveraging the parent bank's balance sheet.

psychology The Solution

The bank adopted a 'speedboat' strategy by launching a greenfield digital bank built on Thought Machine’s Vault Core, running entirely on AWS. This cloud-native core uses smart contracts to define financial products as code, allowing for the creation of new deposit and lending products in days rather than months. The architecture is fully API-driven (headless) and microservices-based, enabling real-time ledger updates and seamless integration with modern payment gateways and identity verification providers.

settings_suggest Technical & Deployment Specs

Integrations
Payment Gateways, ID Verification
Deployment Model
Public Cloud
Data Classification
Confidential
Estimated TCO / ROI
Low initial CaPex, scalable OpEx
POC Summary (2019-01-01 to 2020-09-01)

"MVP launch with savings account."

shield Risk Register & Mitigation

Risk Factor Severity Mitigation Strategy
Vendor Viability Low Escrow agreements
Feature Parity Medium Phased rollout

trending_up Impact Trajectory

Audited value realization curve

80% STP Rate for Credit Verified Outcome
Primary KPI7-Second Decision Time
Audit CycleDouble-Digit Monthly Growth

policy Compliance & Gov

  • Standards: HKMA Virtual Banking Framework
  • Maturity (TRL): TRL 9
  • Evidence Score: 8/10
  • Data Class: Confidential

folder_shared Verified Assets

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Verified Case Study
PDF • Version 3
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Technical Audit
PDF • Audited
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Security Architecture

The "Blind Verification" Protocol

How we verified these outcomes for Pan-Asian Banking Group without exposing sensitive IP or identities.

Private
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1. Raw Evidence

Audit ID: #PRIV-333
Evidence: Direct SQL Logs
Public
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2. Verified Asset

Outcome: Verified
Ref ID: #COI-333

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