Creatio today joined the ranks of providers of application development platforms embracing generative artificial intelligence (AI) with the addition of a copilot studio tool.
The provider of a no-code platform for building applications is making use of large language models (LLMs) from OpenAI to provide developers with an ability to generate code from narratives, design business processes in real time and create user interfaces based on descriptions written in text.
In addition, developers can also create, customize and embed AI models into their applications to provide end users with virtual agents that suggest prompts and actions, create templates or generate visualizations of data sets.
The goal is to make it simpler for developers of almost any skill level to create applications infused with generative AI capabilities, says Andie Dovgan, chief growth officer for Creatio. The goal is to make it simpler for developers to combine a no-code platform with generative AI workflows that go beyond entering prompts into an application, he adds. “They get the best of both worlds,” says Dovgan.
Just about every application development tool now provides some ability to leverage generative AI to create code faster, but Creatio is going a step further by simultaneously making it simpler to use a no-code tool to embed AI models into an application being built.
There’s an ongoing debate over the degree to which organizations will continue to use low-code/no-code tools to drive custom processes when many of those processes might soon be automated using a generative AI platform such as ChatGPT. There are, however, already millions of developers using no-code and low-code tools to build graphical applications so in all probability generative AI models will be embedded within these applications. It will then be up to each organization to decide to what degree to employ a custom graphical application augmented by AI to automate a process versus relying in commercial applications that can now be more easily prompted to automate a task that previously might have required a custom application.
One way or another, generative AI will soon be pervasive as the number of applications incorporating various types of LLMs continues to increase.
Organizations will most likely need to reassess their entire application portfolio in the age of AI. Many applications that lack embedded AI models already appear to be antiquated in comparison. The challenge, as always, is most organizations cannot afford to replace their entire application portfolio overnight so decisions concerning which use cases to prioritize will naturally need to be made.
As the same time, the number of platforms that might be used to create AI models only continues to proliferate. Most organizations will soon find themselves orchestrating multiple AI models that are optimized for specific tasks as they build increasingly automated workflows. The workflows may not always require the expertise of a software developer to construct, but there will surely be use cases where making the application behave in a way that is specifically optimized for a specific use case will require coding expertise that most business professionals will continue to lack.
