By Abhinav Girdhar
In today’s fast-paced world there is immense pressure to meet the market demands in short timelines, and for this innovation is the key. Software development has always been a time-taking process with high costs and long timelines. Low-code solutions powered by artificial intelligence came as the perfect solution, as they enabled faster delivery of scalable, intelligent applications with a reduced reliance on coding talent. It aligned perfectly with business growth strategies too.
As low-code platforms minimised manual coding, a lot went into it. Applications that use visual workflows and preconfigured components are being developed that help to deliver tedious projects in weeks instead of months with traditional systems. This has powered deployment and experimentation. This solution is extremely beneficial to business users who truly understand the needs of the customers, enabling them to create solutions that bridge the gap between customer needs and solutions offered. This shift is reflected in how quickly the market has adapted to it. Analysts have projected that in the future low-code or no-code platforms will be utilised by businesses. This maturation of technology enables us to move beyond simple tools to the ones that can power mission-critical applications.
How AI Expands the Potential
AI has been critical in the development of low-code platforms. Today we can generate applications from natural languages as AI translates these requests into functional workflows and interfaces. AI can also suggest logic, optimise database queries and automate code completion along with a reduction in error and accelerated delivery. We also see an increment in predictive and prescriptive insights where applications are embedded with analytics to forecast outcomes and recommend the next step forward alongside identifying the risks. Through AI-driven testing we are assured of quality, as there are multiple vulnerability and performance issues. As processes are adapted in time, the intelligent workflow enables one to learn from patterns and improve efficiency.
Strategic Benefits of Low Code
As low code enables faster development and deployment, organisations can respond to competition quickly, getting an edge over their contemporaries. As teams collaborate more effectively through the convergence of business expertise and technical execution, we see a reduction in misalignment and rework. Moreover, we see organisations achieving more with existing budgets since the timelines have become shortened and the dependency on developers has decreased. We also see a better chance of scalability, as low code and AI can be used to extend and reconfigure easily. They also enable personalisation through intelligent recommendations, all the while enhancing customer engagement and loyalty through conversational interface.
Practical Applications Across Industries
It can be used in multiple industries right from financial services to roll out compliance tools faster or to detect fraud and even for digital onboarding processes. In healthcare too, it can be used for AI-driven triage and scheduling. It enables optimised inventory management and personalises the shopping experience in retail, whereas in manufacturing it can be used for real-time operational dashboards along with predictive maintenance applications. Likewise, in the public sector it can be utilised for citizen service portals and policy analytics platforms that need rapid updating.
Risks and future
While there will always be risks of data privacy in the absence of laws, ethical considerations must be dealt with in view of AI bias with transparency and regulation. Integration of systems will also be tough to crack, and training talent will need to be consistent. Once these shortcomings are dealt with, we can look at a world where we will have hyper automation and AI-first applications that can be reconfigured to support rapidly evolving strategies. As teams are empowered and guided by strong government frameworks, we will see democratised innovation. The next wave of innovation will not just be about technology but about effective integration of tools into innovation and growth strategies, and we must prepare for it.
(The author is Abhinav Girdhar, Founder & CEO, Appy Pie, and the views expressed in this article are his own)