• Inside EWIS AEGIS

EWIS has introduced EWIS AEGIS, an AI-powered platform aimed at one of the most persistent problems in enterprise technology: modernising legacy systems without breaking what already works.

Developed in Sri Lanka, the platform positions itself within a small global category that prioritises simulation before execution which is an approach designed to reduce the uncertainty that has long defined large-scale system transformation.

Their contribution to the modern day environment was discussed at a press conference held on the 27 March at Cinnamon Grand. 

The legacy problem

Across sectors such as banking, insurance, government, telecommunications, and healthcare, legacy systems remain deeply embedded in daily operations. These systems are often decades old, built on outdated architectures, and poorly documented. Yet they continue to handle critical workloads from financial transactions to patient data.

Modernising these systems is not optional. Regulatory requirements evolve, customer expectations shift, and integration with newer technologies becomes necessary. 

However, transformation projects are notoriously difficult. They carry high financial costs, long timelines and a significant risk of failure. In many cases, organisations encounter unexpected dependencies, data inconsistencies, or system behaviours that were never formally recorded.

The result is a cycle of hesitation. Companies delay upgrades because the risk of disruption outweighs the perceived benefits, even when the underlying systems are no longer sustainable.

A simulation-first approach

EWIS AEGIS attempts to change this equation by introducing a simulation-first model. Instead of directly modifying or replacing legacy systems, the platform allows organisations to analyse and replicate them in a controlled environment before any changes are deployed.

This approach is built on a simple premise: if you can fully understand how a system behaves before altering it, you can reduce the likelihood of failure. By simulating transformations in advance, organisations can test different scenarios, identify potential issues, and validate outcomes without affecting live operations.

“Modernising legacy systems has traditionally been a high-risk process,” EWIS Group Chairperson Sanjeewa Wickramanayake said. “ With EWIS AEGIS, organisations can move from uncertainty to control,understanding outcomes before implementation and executing transformation with confidence.”

How EWIS AEGIS works

At its core, EWIS AEGIS combines several technologies to create a comprehensive view of legacy systems.

First, AI-driven code intelligence is used to extract and structure existing system logic. Legacy environments often lack proper documentation, making it difficult to understand how different components interact. By analysing the codebase, the platform reconstructs this logic in a more accessible format.

Second, dependency mapping identifies the relationships between different parts of the system. Many transformation failures occur because hidden dependencies are overlooked. By surfacing these connections, EWIS AEGIS helps organisations anticipate how changes in one area may impact another.

The most distinctive element is digital twin simulation. The platform creates a virtual replica of the legacy system, allowing organisations to model and test transformations in a simulated environment. This includes validating system behaviour, performance, and data integrity before any real-world implementation.

Finally, EWIS AEGIS incorporates automated transformation tools and AI-powered testing. Once a transformation strategy is validated, the platform can assist in executing the migration while continuously testing for accuracy and consistency.

“By combining AI with digital twin simulation, EWIS AEGIS provides a clear and reliable pathway to modernisation,” EWIS Chief Technology Officer Isuru Dissanayake said.

Reducing risk, improving predictability

The primary value proposition of EWIS AEGIS lies in risk reduction. Traditional modernisation projects often involve a degree of guesswork, particularly when dealing with undocumented systems. By introducing simulation, the platform replaces much of that uncertainty with measurable insight.

Early issue identification is another key benefit. Problems that would typically emerge late in the transformation process when they are more costly to fix can be detected during the simulation phase. This shortens timelines and reduces the need for rework.

Cost predictability also improves. Large-scale IT projects are frequently affected by budget overruns due to unforeseen complications. By validating transformations in advance, organisations gain a clearer understanding of the resources required and the risks involved.

Downtime, one of the most critical concerns in legacy modernisation, is also minimised. Since changes are tested before deployment, the likelihood of operational disruption is significantly reduced.

A niche but growing space

Globally, only a limited number of platforms operate within the simulation-first modernisation space. EWIS AEGIS enters this niche with a focus on enterprise adoption and scalability, positioning itself as a solution not just for local markets but for organisations operating across regions.

This is notable in the context of Sri Lanka’s technology sector. While the country has a strong presence in IT services and outsourcing, product-driven innovation at this scale remains relatively rare. EWIS AEGIS reflects a shift towards building proprietary platforms that can compete in specialised global markets.

From uncertainty to control

Sanjeewa Wickramanayake’s framing of the platform centres on reducing the unpredictability that has long defined legacy transformation. His emphasis is on control and understanding outcomes before implementation rather than reacting to failures after they occur.

This aligns with broader trends in enterprise technology, where predictability and resilience are increasingly prioritised. As systems become more complex and interconnected, the cost of failure rises, making pre-emptive validation more valuable.

Dissanayake’s focus on AI and simulation reinforces this direction, positioning EWIS AEGIS as a structured, data-driven alternative to traditional transformation methods.

The road ahead

EWIS AEGIS is designed for organisations navigating the transition from legacy infrastructure to modern digital ecosystems. Its success will depend on how effectively it can integrate into diverse enterprise environments and deliver consistent results at scale.

The challenge is not just technical but organisational. Legacy transformation often involves changes to workflows, governance, and decision-making processes. A platform like EWIS AEGIS can reduce technical risk, but adoption will require alignment across business and IT functions.

What it offers, however, is a different starting point. Instead of approaching modernisation as a leap into the unknown, organisations are given a way to test, measure, and refine their strategies before committing to change.