How Softools Enables You To Unlock The Next Level of Innovation with Generative AI and NoCode

Independently, generative artificial intelligence and NoCode/Low-Code software are two highly sought-after technologies. But experts say that together, the two can harmonize in a way that accelerates innovation beyond the current possibilities exponentially. Softools NoCode platform allows you to leverage the combination in the fastest way possible for your business processes.

NoCode/Low-code development allows people to build applications with minimal need for hard code, instead using visual tools and other models to develop. While the intersection of NoCode and AI feels natural, it's crucial to consider nuances like data integrity and security to ensure a meaningful integration.

Microsoft's Low-Code Signals 2023 report says 87% of chief innovation officers and IT professionals believe "increased AI and automation embedded into low-code and NoCode platforms would help them better use the full set of capabilities."

According to Andy Bruce, CEO of Softools, the convergence of AI and NoCode enables systems to manage the work rather than humans having to work for the systems.

Additionally, rather than the AI revolution replacing low-code and NoCode, Andy says, "One doesn't replace the other, but the power of two is going to bring a lot of possibilities."

Andy notes that as AI and NoCode technology come together, the development gap closes. NoCode software increases the accessibility of development across organizations (often to so-called citizen developers) while generative AI increases organizational efficiency and congruence.

Innovation Empowered At High-Speed

Organisations need digitisation that matches their speed of growth and the sophistication of their processes. If individual process experts, like a Head of Supply Chain or a Quality Manager, are empowered with a scalable way to fuse AI into their processes with 100% customisation capacity, the speed of digitisation and evolution can sustain the business’s competitive sustainability. To enable such digital transformation for you, Softools's no-code platform provides the essential holistic package around AI capabilities that help you:

1. Expose business data that is traditionally siloed in Excel, Email or on Paper, to AI tools

2. Quickly and pragmatically infuse AI capability into their business processes which is fundamental to unlocking any benefit from digitisation and Automation.

With Softools, organisations can centralise their business data in record time and tap into the power of AI capabilities for various workflows, without needing any code. The power of development is given to business process experts, who can tailor AI and automation to fit evolving business needs.

These large language models that serve as the foundation of generative AI platforms will ultimately be able to change the language of NoCode/Low-Code. Rather than building an app or website through a visual design format, Andy said, "What you'll be able to do is tell AI to ‘generate ideas to improve a supply chain based on current business data’, and the app will be able to produce ideas nobody in the team might have thoughts of yet. And it’s just one use case of the limitless possible use cases.”

He also adds by saying “The key to successful implementation of AI tech is to align it clearly to your value chains and core processes. Softools allows clients to do this faster than anyone, and without the need for choosing.

Synchronised Governance and Innovation

Like anything involving AI, there are plenty of nuances that business leaders must take into account for the successful implementation and iteration of AI-powered NoCode/Low-Code.

This includes the need for transparency. In other words, can you explain how and why AI is making a particular decision? Without that clarity, companies can end up with a system that fails to serve end users in a fair and responsible way.

This melds with the need for bias testing. There are latent biases embedded in our society, which means there are latent biases embedded in our data. According to industry leaders, that means AI will pick up those biases unless we are explicitly testing and protecting against them.

It is thus advised to "keep the human in the loop," not only for checking errors and making changes but also to consider what machine learning algorithms have not yet mastered: customer empathy. By prioritizing customer empathy, organizations can maintain systems and recommend products and services actually relevant to the end user.

For most companies, the biggest challenge one can foresee with the convergence of AI and NoCode is change management. Enterprise users, in particular, are used to working in a certain way, which could make them the last segment to adopt the AI-powered shift. However, if a platform makes change management an integrated and fully visible aspect of digitisation, this challenge can be solved in no time.

Whatever risks a company is dealing with, maintaining the governance layer is what will help leaders keep up with AI as it evolves.

At the Precipice of a New Era

Proprietary data and closed-loop models will still have to reckon with the need for transparency, of course. Yet the ability for organizations to keep data secure in this small-model style could quickly shift the capacities of generative AI across industries.

Generative AI and NoCode software put innovation on a freeway, as long as organizations don't compromise on the responsibility factor, experts said. In the modern era, innovation speed is a must-have to be competitive. Just look at Bard, the Adobe-Google offering that is set to compete with OpenAI's ChatGPT in the generative AI space.

Catch Andy Bruce, CEO of Softools, in an interview with Andrew Gaule, CEO of Aimava, discussing the fastest ways an organisation can leverage AI and what’s the future of the NoCode-based AI movement in the video below: