{"id":38676,"date":"2026-08-28T11:15:18","date_gmt":"2026-08-28T14:15:18","guid":{"rendered":"https:\/\/www.neomind.com.br\/?p=38676"},"modified":"2026-08-28T11:16:39","modified_gmt":"2026-08-28T14:16:39","slug":"low-code-and-ai-how-to-combine-speed-and-intelligence-in-digital-transformation","status":"publish","type":"post","link":"https:\/\/www.neomind.com.br\/en\/blog\/low-code-and-ai-how-to-combine-speed-and-intelligence-in-digital-transformation\/","title":{"rendered":"Low-code and AI: How to Combine Speed and Intelligence in Digital Transformation"},"content":{"rendered":"\n

Companies seek to deliver more value in less time and with fewer resources. In this scenario, low-code and Artificial Intelligence become fundamental pillars of innovation.<\/p>\n\n\n\n

The combination of these technologies is redefining how organizations create and scale digital solutions. Low-code platforms reduce complexity and accelerate development. AI, in turn, adds intelligence, automation, and predictive capabilities to processes.<\/p>\n\n\n\n

Together, these forces usher in a new era of innovation: more agile, intelligent, and strategic.<\/p>\n\n\n\n

What is low-code and how does it accelerate innovation in companies?<\/h2>\n\n\n\n

Low-code plat<\/a>forms<\/a> emerged to simplify software development and customization. Their purpose is to enable companies to create or adapt systems and applications in a visual and intuitive way<\/p>\n\n\n\n

Essentially, users can configure the solution simply by dragging and connecting preconfigured components.<\/p>\n\n\n\n

This reduces coding time and expands the participation of non-technical professionals in the creation process. The approach also results in systems and processes that are better suited to actual needs, since the people who perform the activities can also configure them. This ensures greater accuracy.<\/p>\n\n\n\n

Business departments can therefore develop prototypes, automate workflows, and test ideas quickly. Meanwhile, IT teams retain control over architecture and security.<\/p>\n\n\n\n

This democratization of development creates a continuous innovation cycle in which ideas are validated and improved in record time. According to a Dynata (2025) report, 98% of technology leaders reported saving time and money by using low-code or no-code solutions. <\/p>\n\n\n\n

Companies that adopt low-code platforms, such as Fusion Platform<\/a>, achieve significant gains in productivity, team integration, and delivery speed, the three pillars of modern digital agility.<\/p>\n\n\n\n

Several customers have already reported a 50% increase in workflow performance and a 60% increase in the volume of automated requests.<\/p>\n\n\n\n

How Artificial Intelligence Enhances Low-code Platforms<\/h2>\n\n\n\n

AI enhances low-code by adding a layer of learning and automation that goes beyond simple task execution, enabling systems to analyze data, identify patterns, and recommend actions in real time. As a result, many companies have been using the combination of these solutions to transform critical processes.<\/p>\n\n\n\n

Some examples of how AI amplifies the power of low-code platforms include:<\/p>\n\n\n\n

Automatic application generation<\/h3>\n\n\n\n

Generative AI models understand natural-language commands and convert descriptions into interfaces, workflows, and business rules, reducing manual development effort.<\/p>\n\n\n\n

Intelligent process automation<\/h3>\n\n\n\n

Combining RPA with AI and low-code makes it possible to create workflows that learn and adapt to context, eliminating bottlenecks.<\/p>\n\n\n\n

It is mainly used in repetitive processes, such as invoice analysis, bank reconciliation, and reimbursement management.<\/p>\n\n\n\n

Predictive analytics and real-time insights<\/h3>\n\n\n\n

Low-code applications integrated with AI can forecast demand, identify operational failures, and automatically suggest improvements. In practice, they can anticipate changes in demand, optimize inventory, and reduce waste.<\/p>\n\n\n\n

Chatbots and intelligent assistants<\/h3>\n\n\n\n

Developed within low-code platforms, AI-powered chatbots provide automated support by learning from previous interactions to personalize responses.<\/p>\n\n\n\n

Looking ahead, generative AI represents the next frontier of this evolution. This model can autonomously generate content, code, and even automation workflows.<\/p>\n\n\n\n

It is another step toward enabling companies to implement advanced AI capabilities without the need for data scientists or complex infrastructure.<\/p>\n\n\n\n

AI and the Power of Contextual Interaction<\/h2>\n\n\n\n

One of the most innovative features of low-code platforms integrated with AI is the ability to extract information by \u201ctalking\u201d to a document. This technology transforms how teams access and use corporate information.<\/p>\n\n\n\n

Imagine being able to ask questions directly to a contract, report, or internal knowledge base. AI reads, interprets, and responds based on the file’s content, providing accurate, contextual information in seconds. To provide companies with greater agility, Fusion Platform incorporates a range of AI capabilities<\/a> that make document management and complex information searches simple and fast. With Nia, you can obtain complete information using simple commands. Examples of applications include:<\/p>\n\n\n\n