Introduction

Lack of innovation and modernisation are two vital reasons that cause any business’s downfall. To cope with the latest technology standards and meet present-day customer needs, the modernisation of legacy applications is crucial. Outdated systems, including applications and tools, slow down and stagnate organisational work processes. Besides, compatibility issues and security vulnerabilities arise. All these reasons can lead to increased operational costs as well as reduced efficiency, straining internal resources.

So, modernising applications is not just a trendy gimmick — rather, a necessary initiative to run your organisation and scale it up. It involves updating the applications to make them compatible with the latest technological advancements and enhance their performance. With modernised applications, businesses become more agile and can adapt to the evolving market needs and stay competitive.

However, in this high-paced world, accelerating the process of modernisation is still a challenge for many organisations. In this blog, we will highlight how by combining AI and low-code solutions, you can modernise applications in a smarter way.

Common Application Modernisation Strategies for Businesses

Modernised applications can respond to opportunities promptly and help your company excel in its performance. However, different techniques are applied to modernise business applications. Some of them include:

Migration to Cloud Architecture

To lower costs, bring enough functionality, and ensure greater scalability, migrating applications to cloud architectures is a wise idea. Based on your requirements, you can opt for a hybrid, public, or private cloud structure.

Refactoring

By restructuring the application’s total codebase or rewriting its specific code, you can utilise modern architecture, systems, and technologies in the best possible way. This technique, also known as refactoring, is a suitable way to modernise your applications using low-code or no-code solutions.

Implementation of Microservices

Transforming monolithic applications into smaller elements helps to manage the apps efficiently. Being small services, they can be easily deployed.

API-driven approach

As a popular way of modernising applications, the API-first approach involves simplification of the underlying complexities within the existing functionalities of applications.

Containerization

This technique entails packaging applications into secure containers so that they can be managed and deployed across diverse architectures effortlessly.

Depending on the existing capabilities of the applications and their unique modernisation requirements, organisations can opt for any technique. However, with AI integration, the modernisation techniques become more effective and result-driven.

The Role of Low-Code Solutions in Modernising Applications

From the beginning of app development, manual coding has been the core part of building an application. However, the low-code solution is a software development approach that, by using visual interfaces, pre-built elements, and drag-and-drop tools, makes the application development process faster and hassle-free. With this approach, even an individual with basic knowledge of coding can create applications for diverse purposes.

By eliminating dependency on traditional computer programming languages, it democratises the app development process. On the one hand, business owners with minimal coding knowledge but a strong passion to grow their businesses can develop their necessary applications with it. On the other hand, employees with fundamental technical skills can create a huge business impact by developing apps using low-code solutions and redefining business process workstreams.

Since the pandemic era, many people have adopted this approach to create their own applications. While the low-code market itself is showcasing a steady growth with an around 26% CAGR between 2025 and 2033, the AI capabilities strengthen the low-code solutions, making them more popular. In other words, low-code solutions make the app development process easy to access for all, aligning the application development industry with modern-day scenarios.

Modernise Applications in a Smarter Way: Implementing AI with Low-Code Solutions

Artificial intelligence, or AI, is not a recent phenomenon; rather, it has been in use since the 1950s. But now, it has evolved much, going through diverse shifts and developments. With its latest versions, like Generative AI, it can be a crucial factor in modernising business applications. To adapt to AI and its evolving nature, the low-code solution is considered the best-suited development approach. Together, they are capable of revolutionising the application development field. By combining AI with low-code platforms, you can plan, build, and deploy applications more efficiently and ensure better capabilities for the apps.

The rapid digital enhancements and rising complexity of modern operational frameworks demand streamlined and accelerated development of applications. AI integration in low-code platforms makes it possible. Their combined potential promotes an advanced and new-age application development process.

The benefits of artificial intelligence and low-code solutions working together to develop and deploy applications are as follows:

Smoother Development Cycle

Many medium to large businesses embraced low-code solutions, and the percentage is predicted to increase soon. The businesses are likely to incline more toward them because now AI can be implemented, ensuring speed and efficiency in the app development cycle. The overall process becomes less hassle-free than ever.

Better Accessibility

Being powered by artificial intelligence, the systems of the app development process become understandable to all. It enables people (both technical and non-technical or citizen developers) to develop suitable applications. In this way, an all-inclusive environment is created, which is needed to align with new-age app development requirements.

Reduced Error

The overall app-building process becomes more precise when AI is used in combination with low-code solutions. Whether it is generating code snippets, suggesting UI components, or other tasks within the app development procedure, all are automated in AI-powered low-code solutions, reducing manual error. The ML algorithm in the AI structure detects past errors easily and avoids their repetition. Also, first-degree error detection helps to identify the mistakes easily.

More Scalability

Low-code platforms are known for their flexibility, while AI makes them more agile and scalable. AI-driven low-code platforms can adapt to changing business requirements easily, and at the same time, utilise the latest shifts in technologies in the best possible way. Moreover, they can respond to user feedback and behaviour changes easily and take actionable measures to improve their capabilities.

Improved Innovation

Innovation is the key to a business’s success, and AI drives innovation most sustainably. When you implement AI with your low-code platforms, new ideas emerge to scale up your applications and redefine your overall application network within the organisation. As AI brings in predictive capabilities, businesses can work on new, innovative ideas wisely and efficiently.

Intelligent Prototyping and Design

The initial steps of building an application involve preparing the designs. With AI algorithms, you can develop smart prototypes and modern designs that are suitable for applications needed in today’s workspaces. The AI integration also makes the prototypes more functional and the designs more refined, without applying high-end coding languages.

Thus, AI-powered low-code solutions accelerated the application development processes by enhancing capabilities, reducing errors, and understanding possible future needs.

Take a Step toward Application Modernisation with SquareOne

SquareOne, with its around 16 years of expertise, is known for its ability to drive digital innovation for businesses across industries. Application modernisation becomes a smooth and refined process that brings the best outcome quickly when you partner with SquareOne. By integrating AI, intelligent automation, and other advanced tools, SquareOne becomes an all-in-one rapid application development solution.

Final Thoughts

Modernising applications, even though they are simplified and modernised with AI and low-code platforms, is not a breeze. To ensure a successful and effective modernisation process, pay keen attention to every detail of the process. Ensure compliance with the government regulations regarding the application development programs, while providing the best customer experience for your target audiences. Anyways, a simplified yet advanced app development process is ensured with the collaborative power of AI and low-code platforms. With it, you can set a new benchmark of confidence, competency, and innovation in the application development industry. So, plan to modernise your legacy applications by using the combined capabilities of artificial intelligence and low-code platforms today.