3 ways to integrate AI into applications with WebRatio Low-Code

According to a Gartner survey^[1] conducted among 400 software engineering and application development leaders, 77% identify building AI capabilities within applications as a significant pain point. The same research also highlights that the use of AI tools to improve software development workflows is another critical area for 71% of respondents.

The message is clear: companies want to integrate AI into applications, but technical, architectural, and organizational complexity may slow adoption. Connecting language models, AI services, enterprise data, user interfaces, workflows, legacy systems, and governance rules is not a trivial task. Doing so with separate tools, different vendors, and poorly controlled integrations can lead to fragmentation, maintenance difficulties, and new technical debt.

This is precisely where enterprise Low-Code becomes a strategic enabler. 

With WebRatio Platform, AI integration into applications can be addressed more quickly, structurally, and with full governance. Above all, it makes it possible to integrate intelligence not as an external or ancillary element, but as a coherent part of the application and business processes.

From Generic AI to Customized AI, in 3 Ways

In enterprise contexts, AI should not be limited to generic capabilities; it must perform specific tasks in accordance with the company’s business rules and operational workflows.  It can support users in finding information, analyze documents, generate content, classify requests, recommend actions, create insights, automate operational steps, or enable new digital experiences. In this scenario, AI is custom-designed to work with each company’s specific data, business logic, interfaces, and processes. 

With WebRatio Platform, this approach can be implemented in three main ways.

1. Create New AI-Native Applications

The first way to integrate AI into Low-Code applications is to create new applications designed natively around the objectives assigned to Artificial Intelligence. In this case, the application is built with AI already at the center of its functional architecture. Rather than starting from existing software that needs to be extended, development begins with a new digital service in which AI models, data, interfaces, and processes are designed together from the outset. 

One example is the development of applications that use language models and retrieval techniques to query document repositories, knowledge bases, or enterprise repositories, such as the solution for the research sector created with WebRatio Platform. Users can ask questions in natural language, receive contextualized answers, and navigate complex information through a purpose-built interface. 

In this case, the value of Low-Code lies in the ability to accelerate both implementation and incremental evolution, making development and integration easier. 

2. Integrate AI into Existing Applications

This is probably one of the most common scenarios in companies. Many organizations already have platforms, portals, operational applications, CRMs, HR systems, vertical solutions, or legacy applications that contain essential data and processes. The challenge is not to replace them, but to make them more intelligent. 

In this case, AI can be added to enhance existing capabilities: a contextual chat, a data analysis assistant, a recommendation system, a classification engine, an automated content-generation function, decision support, or a new way to query information. 

The advantage of Low-Code is the ability to integrate AI without radically changing the existing application. WebRatio Platform makes it possible to work on interfaces, application logic, and integration flows, creating AI components that fit seamlessly into the system. 

A typical example is an HR platform that integrates an intelligent agent capable of interacting with human resources experts, analyzing psychometric data, and providing real-time insights. In this type of scenario, value comes not only from the presence of AI, but from its verticalization: the assistant does not respond in a general-purpose way, but operates within the specific context of the platform, its data, and its users. 

3. Create Third-Party Data Interpolation Applications

The third approach consists of creating third-party applications that collect, connect, and interpolate data from multiple enterprise systems.

Many companies have data distributed across different silos: CRM, ERP, document management systems, marketing platforms, internal portals, operational applications, and legacy databases. AI can generate enormous value when it can access this data across systems, interpret it, and transform it into insights or actions. Instead of intervening directly in core systems, organizations can create a separate application layer: a new Low-Code application that integrates with the various data sources, applies AI logic, and returns useful outputs to users. 

This approach offers an important architectural advantage: it enables innovation without compromising existing systems. Core systems continue to perform their functions, while the new intelligent application becomes a layer for analysis, orchestration, and interaction. 

In this model, WebRatio Platform makes it possible to quickly build modular and incremental applications, connect different sources, and introduce AI gradually. The company can start with a specific use case, validate it, measure its value, and then extend the system to other areas. 

The benefit is twofold: on the one hand, organizations avoid making invasive changes to existing enterprise systems; on the other, they create a governed, evolving, and customized intelligent layer.

Why WebRatio Low-Code Accelerates AI Integration 

Integrating AI into applications requires more than simply connecting to a language model. It requires interfaces, data, integrations, processes, application logic, security, governance, and the ability to evolve. The WebRatio Low-Code provides an advantage precisely because it makes it possible to manage all these elements in an integrated way. 

Through visual modeling, automatic code generation, component reuse, and the ability to orchestrate processes and integrations, WebRatio Platform reduces technical complexity and accelerates the development of intelligent applications. In addition, the ability to customize interfaces, interactions, automations, logic, and processes makes it possible to create truly vertical AI solutions. Not generic solutions, but intelligent systems built around the organization’s data, users, and specific objectives. 

AI creates value when it is contextualized: when it understands the domain, works with the right data, produces useful outputs, and fits into real operational workflows. Low-Code makes it possible to turn this requirement into concrete applications while reducing time, costs, and complexity.

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Sources

[1] https://www.gartner.com/en/newsroom/press-releases/2025-05-22-gartner-survey-finds-77-percent-of-engineering-leaders-identify-ai-integration-in-apps-as-a-major-challenge