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Miniatura ilustrativa de low code con inteligencia artificial.
The combination of Artificial Intelligence and Low Code is transforming modern software development. These technologies accelerate innovation, reduce development time, and democratize application creation. Experts highlight that the synergy of Artificial Intelligence and Low Code for building applications is shaping up as one of the most influential trends of the digital era. Want to know how? Keep reading.

Why choose Low Code and AI?
Low Code and AI share a common goal: simplifying and speeding up development. This mutually beneficial relationship is evident in several ways:
- Simplified access: Low Code allows businesses to integrate AI without deep expertise. Through pre-built connectors and components, advanced Machine Learning models and AI services can be incorporated into applications quickly and seamlessly.
- Risk-free experimentation: The visual nature of Low Code makes experimentation easy. Teams can test new ideas, integrate cognitive services, and adjust AI-driven workflows agilely, minimizing development risk and time. This is vital in a field as dynamic as Artificial Intelligence.
- Continuous innovation: This duo enables a virtuous cycle of constant improvement. Low Code platforms allow teams to rapidly prototype and deploy solutions, while AI can analyze application performance in real time, providing valuable insights for decision-making and adjustments. This iterative process accelerates innovation, allowing companies to adapt and evolve at an exponential pace.
The global Low Code development platform market is expected to reach $264.4 billion by 2032, with a compound annual growth rate (CAGR) of 32.0% during the forecast period, according to a report by Fortune Business Insights.
AI and Low Code to Accelerate Software Development
Integrating AI into Low Code platforms creates a more efficient development environment. AI can automate repetitive tasks, suggest components, and even generate code snippets, drastically reducing development time. Additionally, by pre-integrating AI models, developers don’t need to build these functionalities from scratch, allowing them to focus on business logic and creating unique value.
Companies using AI-assisted Low Code tools have reported a 40% to 50% reduction in initial development cycles, according to a study cited by Gartner.
3. AI-Augmented Applications (AIAA)
An AI-augmented application leverages artificial intelligence to enhance its features and deliver a smarter user experience. This can be achieved by integrating third-party services such as voice assistants or image recognition, or by incorporating custom machine learning models. Low Code platforms like DEYEL provide the perfect environment for these integrations, enabling teams to build applications that adapt, learn, and evolve autonomously, increasing the value and utility of each solution.
Low Code and AI Working Smartly
AI can answer development queries, automate processes, analyze data, and predict outcomes, offering virtually unlimited potential. Low Code serves as the foundational platform where all this intelligence is realized, allowing any team, regardless of technical expertise, to build and deploy software solutions quickly.
At Deyel, our vision is clear: Low Code and AI are not standalone tools but essential complements for digital transformation. Together, they accelerate development and empower leaders to make data-driven decisions more dynamically.