Use case 01
Core Banking Modernization
Migrated a regional bank's monolithic core system to a microservices architecture on the cloud, reducing downtime by 99%.
Industry · Financial Services
Banking and finance, rebuilt for digital
Secure cloud platforms, trusted data and AI for fraud, risk and customer experience, built to satisfy regulators and delight customers.
- Security first
- compliance by design
- Real-time data
- for risk and fraud
- AI & analytics
- smarter decisions
- Modernise safely
- without disrupting service
Our point of view
From challenge to measurable impact
01 · Challenge
The challenge
Legacy core systems slow every change, fraud grows more sophisticated and customer data sits in silos.
Legacy drag
02 · Approach
Our approach
Modernise around the core with secure cloud and APIs, unify data on a governed platform and apply AI where it reduces risk.
Modernise · Unify · Protect
03 · Impact
The impact
Faster product launches, earlier fraud detection and a single view of every customer.
Trusted & agile
What we deliver
Capabilities
Select a capability to see what it covers.
01
Advanced Fraud Prevention
Deploy AI-driven anomaly detection to identify and block fraudulent transactions in real-time.
Discuss advanced fraud prevention with an expertHow we deliver
A clear path from idea to impact
- 01
Discover
Understand goals, current systems and constraints.
- 02
Design
Target architecture, roadmap and a clear business case.
- 03
Deliver
Build in short releases with visible progress.
- 04
Run & improve
Support, monitoring and continuous optimisation.
In practice
What this looks like for our clients
Use case 02
Automated KYC/AML
Developed an intelligent document processing system that reduced customer onboarding time from days to minutes.
Services that power it
The capabilities behind the results
Security and compliance are designed in: encryption, access control, audit trails and data residency are agreed up front with your risk team.
Yes. Most programmes wrap the core with APIs and a modern data layer, reducing risk while speeding up change.
Fraud detection, credit and risk models, document processing and customer service assistants are the most common starting points.
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