Reimagining Enterprise Automation with an AI-first Low-code

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Transform enterprise automation with an AI first low code platform to enable smarter workflows accelerate innovation and drive sustainable growth.
What's the common link between a prominent UAE bank, an oil and gas firm, and a department engaged in building a smart city? The answer is simple: technology. Each of these entities has been leveraging robotic process automation (RPA), artificial intelligence (AI), and big data to drive quicker growth.
Time and again, decision-makers across verticals have realised the need for scalable and flexible application development. Once considered niche, low-code development platforms have rapidly entered the mainstream, enabling organisations to build custom applications faster, smarter, and with fewer resources. The numbers speak for themselves. According to Fortune Business Insights, the global low-code market is projected to surge from $37.39 billion in 2025 to an impressive $264.40 billion by 2032, representing a 32.2% growth.
What makes this evolution even more compelling is its intersection with AI and generative AI (GenAI). By embedding AI into low-code platforms, forward-looking enterprises can unlock an entirely new level of speed, intelligence, and agility, turning visual development tools into engines of business transformation.
This shift is particularly relevant to the Middle East, where digital transformation roadmaps are ambitious, yet the region faces challenges related to talent shortages. A recent Deloitte survey revealed that while over 80% of Middle Eastern organisations feel mounting pressure to adopt AI, nearly half admit to lacking the skills and infrastructure needed to succeed.
AI-first low-code platform offer an ideal solution to fast-growing enterprises. It democratises development, accelerates innovation, and empowers organisations to create a sustainable business impact on a larger scale.
From Automation to Autonomy
Low-code platforms enriched with AI go far beyond simplifying application development; they enable intelligent, autonomous workflows that can handle routine decisions without human intervention.
Consider a claim processing workflow at an insurance company. Using an AI-first low-code platform, the system can automatically approve claims below a certain threshold, handling straight-through processing (STP) cases independently while flagging anomalies for human review. This end-to-end automation reduces manual workload and accelerates turnaround time.
Beyond static rules, technology like GenAI brings a new level of adaptability. It can generate new business rules or modify workflows in real-time as business conditions evolve. An early 2025 report by International Data Corporation stated that over half of enterprise software applications today embed AI-powered assistants, and nearly 20% are advancing toward fully autonomous AI agents capable of data-driven decision-making.
But true automation demands more than intelligent decisions; it all revolves around perfect orchestration. An AI-first, low-code platform monitors, triggers, and optimises end-to-end process flows, eliminating the need for human micromanagement. For CIOs and COOs, this represents a clear path to hyper-automation: seamless, cross-departmental automation underpinned by strong governance and ethical AI frameworks.
Business Orchestration for Enhanced Performance
AI-first low-code platform automates tasks and aligns processes with strategic business goals. Instead of focusing on isolated workflows, AI can holistically map entire value streams, optimising business outcomes rather than just task completion.
Once business users describe a desired workflow in plain language, the AI can swiftly generate an initial process model or even a working prototype. AI and GenAI continuously refine workflows by analysing performance data, suggesting improvements, or creating new workflow variants to meet evolving KPIs. This capability dramatically shortens the gap between business intent and technical execution. What once required months of iterations can now happen dynamically and continuously.
In the Middle East, enterprises are already embracing this shift. A January 2025 PwC report revealed that, as of 2024, 81% of CEOs in Saudi Arabia have already integrated GenAI into their organisations. An AI-first, low-code platform offers a practical way to operationalise these ambitions, translating high-level objectives into intelligent workflows that connect systems, departments, and stakeholders.
Unlocking Cognitive Capabilities in Enterprise Applications
AI also enhances the capabilities of low-code platforms by enabling applications to perceive, understand, and respond like humans.
From natural language processing (NLP) to image recognition, document understanding, and speech-to-text capabilities, these cognitive features can be integrated into applications with minimal effort, often without writing a single line of code.
For example, a bank employee can use a low-code platform's pre-built AI connectors to create a client onboarding app that extracts data from uploaded identification documents, validates it, and engages with the customer through a conversational interface to fill in any missing information. Now, the need for specialised AI expertise is redundant as non-technical business users can also create applications with ease.
This advantage becomes even more pronounced in a multilingual region like the Middle East. GenAI models trained in diverse languages allow developers to build applications that can seamlessly understand Arabic text and dialects, as well as English. This makes it easier to analyse social media sentiment and deliver customer service in the user's native language.
GenAI Redefining App Development
Perhaps the most transformative shift is the move from traditional drag-and-drop interfaces to conversational, AI-powered application development.
Rather than manually assembling every component, business users can describe their application in plain language, and the AI would generate working modules. For instance, a product manager could say:
'Build a customer feedback app with a form for satisfaction rating and comments. Store the data in a database and alert the manager if the rating falls below 3.'
The GenAI engine can translate this instruction into an actual data model, user interface, and even backend integration logic within minutes.
For CTOs, this is a game-changer. Development throughout can increase exponentially without a corresponding growth in team size, which is a significant advantage in regions like the Middle East, where a lack of skilled developers may hinder digital transformation.
Powering the Middle East's Digital Ambitions
The Middle East is at a pivotal juncture. Government and private sector initiatives, from Saudi Vision 2030 to the UAE's AI mandate, have been driving bold digital transformation agendas designed to diversify economies and enhance services.
However, the desired speed of innovation and ongoing talent shortages pose a significant challenge to effective execution. An AI-first, low-code platform offers a powerful way forward, enabling organisations to develop sophisticated digital solutions with smaller teams without compromising speed and quality.
As the region races toward an AI-first future, enterprises that embrace low-code platforms with AI will lead the charge by building intelligent, autonomous systems that unlock new opportunities and drive sustainable growth.
By Varun Goswami, Head of Product Management, Newgen Software