The cat is out of the bag when it comes to the power of AI for businesses. Companies at all stages, from startups to international enterprises, are tapping into AI to help them save on costs, drive efficiencies, and build more impactful digital solutions.
However, implementing AI solutions into business operations is no simple task, and often requires a significant investment in time, money, and new hires to realize from scratch. Here’s where low-code/no-code (LCNC) solutions come in – they help businesses build AI apps without having to bring in an entire data science team and spend months on model training and iterative development.
LCNC tools provide users with pre-built components and intuitive interfaces so someone with zero coding experience can bring a custom AI app to life. These platforms are proving so useful, that the LCNC market value is estimated to grow from $10.46 billion in 2024 to $82.37 billion in 2034, at a CAGR of 22.92%.
Let’s take a look at why businesses are racing to adopt LCNC for AI success.
Benefits of Low-Code/No-Code For AI App Development
From enabling heightened adaptability to helping teams be more productive than ever before, here’s how LCNC powers AI app development.
Thanks to LCNC applications’ drag-and-drop interfaces and easy-to-use wizards, LCNC lets ‘citizen developers’ with little to no coding experience develop AI apps. Users can leverage pre-built AI capabilities and integrate AI services through API connectors within the intuitive platforms. In fact, by 2026, Gartner predicts that 80% of LCNC users will be developers outside traditional IT teams.
LCNC powers flexibility and adaptability within AI apps, enabling teams to constantly use the latest large language models and AI algorithms available.
Teams using LCNC also often see higher levels of productivity and efficiency in their projects. With manual tasks such as data cleaning and model training automated, team members can focus their energies on higher-level, more strategic work.
Market leaders like Microsoft, Salesforce, and ServiceNow all have their own LCNC offerings, empowering businesses to transform cumbersome processes into streamlined operations.
Use Cases of Low-Code/No-Code
LCNC for AI app development holds potential across countless industries and use cases. In customer service, for example, companies can leverage LCNC to build AI assistants that can handle complex customer queries and make personalized suggestions.
In the supply chain industry, teams can leverage LCNC to use AI models to automate inventory management and predict future demand. Human resources departments can use LCNC across all stages of the hiring process – from building an AI app that filters resumes to creating training schedules for new hires.
And across all modern businesses, teams can use LCNC to automate processes. Whether it’s document processing, data analysis, or workflow automation, LCNC has the power to help companies save on time spent on manual work and streamline processes.
Strategies for Success with LCNC
Any business seeking to leverage LCNC to build impactful AI apps needs to adopt a well-thought-out strategy for success.
They first need to define high-impact use cases with real potential for delivering value to the business. Next, they should establish who out of their team can provide the necessary IT oversight to ensure the performance, compliance, and security of the LCNC platform. Data governance is also a vital piece of the puzzle, and any organization needs to make sure they are responsibly managing the data being fed to the AI model.
Finally, businesses should provide training to employees who don’t yet know how to fully leverage LCNC tools and stress ethics at the core of any AI project.
Building an AI app doesn’t have to be rocket science – in fact, it’s more accessible than ever before thanks to LCNC tools.