Since low-code allows more applications to be created in less time, development costs decrease. However, that’s not the only benefit. Adopting a low-code development approach reduces the need for more developers, cutting hiring costs. Additionally, savings from workflow automation can be redirected to other growth-driving activities such as R&D, marketing, and customer support. Lastly, businesses can use low-code to support or replace existing applications to reduce legacy licensing fees and maintenance costs.
With low-code development, time is no longer a barrier to productivity. Increased productivity means businesses can innovate faster and achieve better returns on investment for each project. Low-code democratizes access to AI technology to unlock developer productivity. It significantly accelerates development, reduces application delivery times, minimizes technical debt, and makes it easier to integrate generative AI into end-to-end process automations to enhance operational productivity.
Enhanced collaboration supported by low-code development fosters efficient decision-making, faster problem-solving, and promotes a sense of ownership among team members. Low-code platforms create collaborative workspaces where teams can easily share and integrate custom tools. It’s like a well-organized toolbox that helps development teams collaborate, organize, track, and understand changes—even if multiple developers are working on the same project. This results in more efficient development, boosting productivity.
In a world where regulatory violations can lead to hefty fines and reputational damage, proactive risk management is critical. Low-code delivers the speed needed to provide new functions and capabilities to meet evolving regulatory requirements. Additionally, AI-generated low-code on an AI-powered process platform ensures that digital solutions are protected by robust safeguards while maintaining the privacy and security of the data supporting these solutions. Enterprise-grade platforms make authorization, governance, and data privacy mandatory by controlling who can modify or use assets and managing the modularity of functional capabilities and data privacy settings—making a platform approach critical to preventing production issues.
Organizations that can quickly integrate applications, systems, and data to adapt to constant change will outperform those that cannot. While off-the-shelf solutions may seem attractive for short-term needs, they often lead to complex integration challenges and data silos. An enterprise-grade low-code automation platform offers pre-built, no-code integrations and templates that reduce the time required to connect to databases, cloud services, robotic process automation (RPA) bots, artificial intelligence (AI) tools, and application programming interfaces (APIs) from hours or days to minutes.
