How AI and Low-Code Accelerate Digital Transformation

Artificial intelligence (AI) and low-code development are revolutionizing the way businesses innovate. Organizations leveraging AI with low-code platforms achieve faster prototyping, broader accessibility, and reduced dependency on specialized coding skills. This powerful combination enables enterprises to drive digital transformation at scale.

The Growing Adoption of Low-Code

Low-code development has become a mainstream technology, with many organizations integrating it into their development processes. Companies recognize its ability to accelerate innovation, with a majority stating that low-code enhances their ability to scale innovation effectively. The increasing adoption of low-code is largely driven by top management, as decision-makers play a key role in its implementation.

AI and Low-Code: A Strategic Pairing
AI integration into low-code platforms enables businesses to automate complex decisions, optimize workflows, and enhance user interactions. This seamless pairing allows organizations to improve efficiency and foster large-scale innovation. Many industry leaders believe that combining AI and low-code accelerates innovation faster than other approaches.

However, there are concerns regarding governance in AI-assisted coding. Addressing these concerns requires proper upskilling for both developers and non-technical users. Training is essential to ensure AI-assisted coding is used effectively.

Key Benefits of AI and Low-Code Development

Surveys highlight several benefits of low-code adoption:

• Many organizations say low-code boosts productivity in technical teams.
• It helps streamline the development process.
• It improves time-to-market.
• It enables teams to scale innovation effectively.

Moreover, many decision-makers believe that low-code is the future of software development, ensuring cost-effective innovation.

Upskilling: A Critical Investment

To maximize ROI, organizations must prioritize upskilling initiatives. Many leaders acknowledge the importance of training technical teams, while there is also emphasis on the need for non-technical staff to create effective fusion teams.