monday.com Ltd. is providing early access to artificial intelligence (AI) capabilities embedded into its software-as-a-service (SaaS) platform that enable organizations to create new and extend existing workflows using a combination of prompts, vibecoding tools and agents.
Currently used by approximately 245,000 organizations, the monday magic tool now makes it possible for end users to describe, in a single plain language prompt, their workflow requirements, which will then be used to generate a complete, fully functional workflow or board that aligns with established business best practices.
At the same time, the monday magic tool enables end users to rapidly create custom applications and workflows using a vibecoding framework that doesn’t require them to write any actual code.
Finally, there is also now monday sidekick, a digital worker that can be personalized for each employee based on their role and responsibilities. The digital agent, for example, will also proactively suggest and take actions to help complete tasks faster.
The overall goal is to make the benefits of AI more accessible to employees who generally don’t have a lot of AI expertise when it comes to, for example, crafting prompts, says Seetvun Amir, vice president of product for monday.com. That approach will make it simpler for organizations to achieve the productivity benefits of AI without having to invest as much into training, he notes. “That skills gap is pretty significant,” adds Amir.
Originally developed using a set of low-code/no-code tools to manage projects, the monday.com platform has evolved to enable organizations to more cohesively manage a wider range of integrated processes, including a customer relationship management (CRM) module. Earlier this week, the company revealed it generated $299 million for fiscal 2025, a 27% year over year increase.
It’s not clear to what degree organizations are starting to standardize workflows on a single integrated platform versus trying to integrate disparate SaaS applications, but with the rise of AI agents it should become easier to achieve that goal one way or another. Instead of having to navigate multiple user interfaces, AI agents will be assigned tasks to complete using data they will be able to pull from multiple backend systems. The issue then becomes determining to what degree it might make sense to continue to integrate what are becoming a set of “headless” backend systems versus enabling those AI agents to pull data from wherever it might currently reside.
Like other providers of SaaS applications, monday.com is betting that organizations will prefer to consume as many backend services as possible from a single vendor versus trying to manage SaaS subscriptions across a wide range of application services.
Regardless of approach, the one thing that is certain is AI agents will soon be pervasively used to complete an ever increasing number of tasks. In fact, a recent Futurum Group report predicts agentic AI technologies will drive $6 trillion of economic value by 2028. The only thing left to determine is what platform will ultimately be used to realize that promise.
