The demand for digital solutions across industries has never been higher. However, traditional software development often faces bottlenecks: long delivery times, high costs, and a shortage of specialized developers. In this context, the combination of Low Code platforms with Artificial Intelligence (AI) tools is ideal for creating efficient applications in record time.

About Low Code and AI

• What is Low Code?

Low Code is a software development approach that allows you to create applications using a visual interface with pre-built components (like drag-and-drop) instead of writing code line by line.

• And AI? How is it integrated?

Artificial Intelligence enhances Low Code platforms in multiple ways. AI can generate code snippets, automate testing, analyze data to optimize workflows, and even help developers build smarter, more personalized user interfaces.

• Who can use these platforms?

While they are powerful tools for professional developers, their main advantage is democratizing development, enabling Citizen Developers (business users with little or no programming experience) to create functional applications under the supervision of IT.

Expert Insights and Key Data

These tools are not a passing trend. A report by Mordor Intelligence projects that the global Low Code platform market, valued at $26.3 billion in 2024, will reach $67.12 billion by 2029, with a compound annual growth rate (CAGR) of 30.90%. This demonstrates that the industry is adopting this model at scale as a strategy to remain competitive. Additionally, Gartner states that companies integrating Low Code with AI increase development productivity by 40%.

Use Cases Across Industries

The combination of Low Code and AI is transforming processes across multiple sectors, enabling the rapid creation of solutions tailored to specific challenges.

1. Banking

• Digital onboarding: AI automates identity verification (OCR, facial recognition), while a Low Code application orchestrates the account opening workflow, making the process faster for the customer.
• Fraud detection: AI models analyze thousands of transactions in real time. Low Code allows analysts to visualize alerts and manage cases efficiently, without complex custom development.
• Core banking modernization and integration: Low Code platforms act as an orchestration layer, connecting via APIs and microservices to legacy systems like core banking systems. This allows developers to build new applications and customer experiences without modifying or replacing the central system, while AI optimizes workflows between the new application and the core, ensuring smooth, efficient communication.

2. Insurance

• Smart claims management: Low Code enables apps for customers to report claims from their phones. AI analyzes uploaded images and documents to detect fraud or estimate repair costs, speeding up the process and reducing response times.
• Risk analysis and pricing: AI uses algorithms to predict claim probability, helping actuaries set more precise and competitive rates. Low Code apps allow analysts to visualize and process this data efficiently.
• Policy management and personalized service: Low Code platforms create intuitive self-service portals for customers to access information, pay premiums, and manage policies. AI analyzes profiles and histories to provide personalized coverage recommendations, suggest complementary products, or highlight savings opportunities, improving user experience and freeing agents for higher-value tasks.

3. Logistics

• Smart supply chain management: Low Code platforms enable apps that manage the full procurement lifecycle, from request to payment. Teams can use these apps to select suppliers, issue purchase orders, and track orders. AI automates invoice processing using OCR, checks them against purchase orders for errors, and routes them automatically to approvers, reducing manual errors and speeding up payment cycles.
• Supplier risk assessment and management: Low Code allows portals for suppliers to register, upload documents, and update profiles autonomously. Procurement teams can evaluate and score suppliers based on price, quality, and reliability. AI continuously monitors external data sources to detect potential risks (financial, reputational, or compliance), generating alerts for proactive decision-making and ensuring supply chain security.

Conclusion

In a business landscape that demands agility and tailored solutions, the combination of Low Code and AI emerges as a strategic response. This approach benefits the entire organization: business teams can accelerate the creation of solutions that directly address their needs in collaboration with IT, while IT specialists are freed from routine tasks handled by Low Code, allowing them to focus on other projects or new applications.