No-code platforms have made it possible for anyone to build business tools without writing code. Teams that once depended on developers can now create apps, organize data, and manage their work independently. Now, artificial intelligence makes no-code tools more intuitive and helps non-technical teams build faster.
A 2024 study by KPMG, which surveyed 2,000 corporate decision-makers across the United States, Europe, Asia Pacific, and the Middle East, found that 54 percent of companies are already using AI together with low-code tools to build applications. But as AI becomes a common feature across no-code platforms, not every company is using it to solve problems. Some are adopting it to appear innovative rather than to create impact. In contrast, Kintone focuses on using AI to solve business use cases, not on hype.
Keep reading to learn how AI is enhancing no-code app development and how Kintone is leading the way with a human approach to innovation.
No-code platforms have given rise to a new kind of creator who can build digital solutions without a programming background. While no-code removes the technical barriers to app creation, AI simplifies the thinking process behind it. Together, they make business app development more intuitive, helping users move from concept to execution with less trial and error.
In AI workflow management, for instance, automation helps complete tasks faster and also creates systems that adapt to how teams work.
AI in no-code development can identify repeated steps in a process and recommend ways to automate them or analyze timelines to highlight potential bottlenecks before they happen. This makes it easier for teams to refine their operations over time instead of constantly rebuilding them from scratch.
When combined, no-code AI development and workflow management tools help businesses solve strategic problems rather than getting lost in technical setup or data overload.
Many platforms treat AI as a race to automate everything. Kintone takes a different view. Its goal is to make AI work with people, not replace them. This belief shapes every innovation that comes from the Kintone AI Lab, an innovative project to provide new AI tools for teams that are looking to simplify business processes, improve data use, and enhance collaboration.
The AI Lab gives users early access to new features that reduce complexity, not add to it. Here are some of the features available in Kintone AI Lab and how they help teams eliminate redundant work:
The AI App Creator helps users build apps through natural conversation. You describe the type of app you need, and the AI suggests names, layouts, and form fields that match your purpose. This feature turns app creation from a manual task into a quick, guided setup. The Kintone AI App Creator helps teams:
The AI Process Creator helps teams design and improve workflows directly within Kintone. When teams describe their process goals, users receive tailored recommendations for workflow structures, approval paths, and task sequences that suit their needs.
Long conversations often hide key details. The AI Thread Summary quickly reviews team discussions and generates a concise summary of important points. With one click, users can see project updates or decision highlights without scrolling through every message. With the AI Thread Summary, teams can:
The AI View Analysis reviews stored records, identifies trends, and highlights key information within moments. Users can choose from built-in analysis options or write custom instructions to get tailored summaries. The Kintone AI View Analysis helps teams:
AI is becoming part of almost every software platform today without solving any use cases. This rush to release new features often creates more noise than progress.
According to Gartner, over 40% of agentic AI projects will likely be scrapped by 2027 because they fail to deliver clear business value. That number shows how often companies fall into the trap of launching AI tools that look impressive on paper but don’t improve day-to-day work for users. The challenge is that many companies are chasing visibility instead of usability.
Gartner, at the same time, predicts that 75% of enterprise software engineers will use AI assistants by 2028, and 70% of new applications will rely on low-code or no-code tools by 2025.
According to a recent 2025 market report, the no-code market is growing quickly, from $39.64 billion in 2024 to $50.31 billion in 2025, showing how essential these platforms have become for teams worldwide. These trends point to a future where AI and no-code development work together.
AI and no-code are entering a new stage of maturity. The first wave focused on simplifying app creation. The next is about intelligence that helps teams build faster, collaborate better, and make decisions based on data. Recent studies show how quickly this shift is unfolding.
According to a 2025 Stack Overflow Developer Survey, 67% of developers use AI tools weekly, and 49% say they’ve doubled productivity using AI assistants. These findings show a demand for no-code AI workflow management tools that help teams automate tasks and drive efficiency.
This shift also reinforces that AI may reshape how people build software, but it will never replace human creativity. Looking ahead, three directions are shaping the future of AI in no-code development platforms:
Users will be able to describe what they want in natural language, and the platform will build apps, workflows, or data structures based on those descriptions. This approach makes app creation more accessible for people with little or no technical background.
AI will learn from user behavior and recommend process improvements before problems occur. For instance, it could detect approval bottlenecks, remind team members of upcoming deadlines, or suggest ways to balance workloads. This turns workflow management tools into proactive helpers.
AI will play a bigger role in analyzing patterns, identifying outliers, and summarizing metrics that matter most. Instead of scrolling through reports, users will be able to see what needs their attention right away.
AI is most powerful when it helps people build better, not just faster. The true potential of AI in no-code development lies in empowering teams to create solutions without depending on technical expertise. When human creativity meets intelligent automation, work becomes more connected, efficient, and meaningful.
That belief drives the Kintone AI Lab. It represents a thoughtful approach to no-code AI and strengthens collaboration rather than adding complexity. With Kintone, teams can:
If you are ready to leverage AI across every stage of business app development without completely eliminating human creativity, you should explore how Kintone’s AI Lab is developing AI features that work with you, not for you.