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Why Low-Code and No-Code with AI are Transforming Development

Digital transformation is no longer a competitive advantage but has become a basic requirement. In a business environment where delivery speed is crucial, low-code and no-code platforms with artificial intelligence emerge as key players.
These tools allow the creation of complex applications with little or no manual coding, democratizing development and bringing business areas that previously depended entirely on IT to the table. When combined with artificial intelligence, they offer a leap in efficiency and operational intelligence.

The strategic benefits of integrating with AI

The presence of AI within low-code and no-code platforms is not just a technological “extra.” It expands the tool's potential in several areas:

  • Intelligent automation: AI capable of mapping processes and suggesting optimized flows.
  • Predictive analysis: anticipating failures and opportunities through machine learning.
  • Design assistance: automatic suggestions for layout, user experience, and integrations.
  • Assisted code generation: creating custom components in seconds.


For CIOs and Heads of IT, this means not only speeding up deliveries but also ensuring quality, security, and adherence to business needs.

Governance and security: challenges that cannot be ignored

Despite the potential, adopting low-code and no-code platforms with AI requires attention to governance. Without clear rules, the risk of “shadow IT” increases, as do security vulnerabilities.

Best practices include:

  • Defining roles and responsibilities in platform use.
  • Implementing strong access and authentication policies.
  • Establishing development and integration standards.
  • Creating a central repository for version control.


Impact on collaboration between IT and business areas

One of the biggest advantages is the cultural change these platforms promote. IT stops being just an executor and starts acting as a conductor, while business areas actively participate in solution creation.
This reduces bottlenecks, improves alignment, and increases internal satisfaction. Moreover, projects that previously took months can be delivered in weeks — or even days — without losing quality.

Most common use cases

  • Internal applications for process automation.
  • Self-service portals for customers or partners.
  • Smart dashboards with real-time data.
  • Chatbots and virtual assistants for customer service.

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The future: hybrid and scalable development

The trend is that corporate development will become increasingly hybrid. IT and business areas will work side by side, using low-code and no-code platforms with AI to quickly prototype and validate ideas, leaving traditional development for more complex and critical cases.
Organizations that adopt this approach now will have a competitive edge, as they will be able to innovate continuously, with lower costs and greater team engagement.
Low-code and no-code platforms with artificial intelligence are not just a technological trend — they represent a structural change in how companies develop and deliver digital solutions.
For CIOs and Heads of IT, the recommendation is clear: create a strategy that combines agility, governance, and innovation, ensuring that the adoption of these tools results in real productivity gains and impacts on results.
Ready to accelerate innovation? Evaluate the potential of these platforms in your context and start the digital transformation of your organization today.