Legacy Modernisation
Modernisation capability rooted in domain experience
At Entelect, we've spent years working inside the most complex banking and insurance technology landscapes in the world. We know how to assess technology landscapes, identify what's genuinely at risk, and build a modernisation path that moves your business forward without putting it in jeopardy. We’re hands-on, accountable, and have the BFSI domain experience needed to address the layers of complexity modernisation reveals.
Our Work
Ninety One: transforming Ninety One's trading system for real-time performance
Ninety One, a global asset manager, needed to migrate its order management capabilities to a real-time platform without disrupting daily trading activities or client reporting. We helped make that happen.
Ninety One needed to migrate its order management capabilities from their legacy T-1 trading platform – to a real-time investment management system. The migration had to preserve business continuity, maintain regulatory compliance, and protect the integrity of years of historical reporting data – all without interrupting daily trading operations.
Entelect joined Ninety One's technology team to orchestrate the migration between platforms. We enhanced their front-end interface to provide portfolio managers with a consistent experience while the back-end systems were transitioned to the new platform. The team transitioned back-end systems to the real-time platform using event-driven, real-time processing. A classification mapping engine was developed to align historical data with new formats, ensuring accurate multi-decade reporting continuity.
Zero trading errors: Trading errors were reduced by 7% in the first year of migration.
Real-time trading at scale: The platform now processes around thousands of trades a month, representing bilions of pounfd in value.
Enhanced compliance and reporting: Rich analytics, accurate historical data alignment strengthened regulatory reporting and operational oversight.
What We Do
Our Legacy Modernisation Capabilities
Mainframe Modernisation
Modernise mainframe environments – whether that's opening new channels, introducing modern middleware, or executing a complete architectural overhaul.
AI-accelerated Modernisation
Accelerate the modernisation journey using AI tooling to document legacy systems, generate templated migrations, and build automated test harnesses, reducing the time, cost, and uncertainty that typically make large-scale modernisation programmes difficult to deliver.
AI Reverse Engineering of Legacy Languages
Apply AI-assisted reverse engineering to document, and migrate systems built on legacy languages such as COBOL and Delphi.
Cloud-Native Modernisation and Migration
Move legacy systems to cloud-native architectures that are built for scalability and modern delivery practices.
Decoupling Monolithic Architectures
Break down tightly coupled monolithic systems into modular, independently deployable components – reducing the risk of cascading failures, enabling faster delivery, and giving your teams the autonomy to evolve individual capabilities without touching everything else.
Optimisation and Incremental Modernisation
Extend the life and performance of legacy systems through targeted optimisation strategies – including wrapping, strangler fig patterns, and caching – delivering improvement without the risk of full replacement.
Cloud Deployment Design and Implementation
Design and implement robust cloud deployment architectures that support your modernised platforms, ensuring your infrastructure is as well-engineered as the applications running on it.
Key Partners
Partners and Alliances
Our Experience
Related Expertise
API and Integrations
Design and build APIs and integrations that connect complex systems at enterprise scale.
Core and Enterprise Systems
Modernising the core platforms that run the business — resilient, scalable, and built to evolve.
Quality Engineering
Embedding automated testing and quality gates so teams ship faster, with confidence.
Digital Product Engineering
Building digital products across complex architectures with cross-functional teams committed to continuous development and ownership.
Entelect has built an impressive data practice which showcases their expertise in Microsoft Fabric and their ability to guide clients through complex migration and modernisation journeys. They understand that moving to a modern data platform isn't just a technical exercise, it's a business transformation. That mindset, backed by real technical depth, is exactly what our mutual clients need.
Yuri Baijnath
Cloud and AI Lead, Microsoft Azure
Our Work
How We've Delivered
Context
Sanlam needed to modernise its mainframe-based retirement portfolio management system built on extensive legacy languages, while capturing decades of fragmented, undocumented business logic before it was lost.
Approach
Entelect implemented an AI-assisted analysis workflow using AWS Transform and GitHub Copilot powered by Claude language models, conducting high-level static analysis, producing programme overviews, and extracting detailed business rules file-by-file. Outputs were validated against existing regression test packs and reviewed with SMEs to ensure accuracy and governance.
Outcome
The AI-assisted approach reduced requirements analysis from approximately two days per programme to just a few hours – an estimated 80% upfront time saving.
Context
Investec needed to modernise their internal platform used by client support consultants to access client information and manage service requests.
Approach
Entelect helped deliver a full system rewrite for the backend, migrating the solution from an ageing on-premise environment to Microsoft Azure. Continuous integration and deployment pipelines were established to ensure a smooth transition within Investec's broader modernisation roadmap.
Outcome
The modernised platform significantly reduced handling time per query for the consultants, and improve platform stability.
Context
Capitec needed to move its entire data estate off an ageing on-premise system without disrupting the critical workloads running on it every day.
Approach
Entelect was engaged to manage and execute the full migration from the on-premise environment to AWS. The solution enabled data from disparate systems to be stored in its raw form, unlocking a wide range of analytics and querying capabilities – bringing Capitec's data into close proximity with the rest of its compute workloads.
Outcome
The project successfully migrated over 15,000 database objects without disrupting any of the bank's critical operations. The project also mitigated infrastructure risk by moving off a system nearing end-of-life onto a scalable, resilient cloud solution.
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