The program invites organizations to submit specific manual workflows that require automation. Joget’s product team reviews these proposals, selects the most viable use cases, and constructs a functional prototype. Rather than delivering a black-box solution, the company unveils the finished agent during a live webinar, dissecting the prompts and tools used so participants can replicate the process themselves.
"We hear the same thing from businesses across every industry: they know exactly where AI could save them time, but building an agent still feels like something you need a developer for," said Raveesh Dewan, CEO of Joget. By showcasing the build in a public forum, the company aims to prove that visual, no-code development can replace traditional, complex programming for enterprise tasks.
The agents operate on the Joget AI Agent Builder, which allows users to design and test workflows while maintaining human oversight. Participants who choose to implement these builds independently must provide their own LLM API keys, a model designed to prioritize data privacy and allow firms to select their preferred infrastructure providers. While the lab prototypes are free, companies requiring full-scale, production-ready applications can opt for a formal platform subscription to integrate these agents into their broader enterprise environment.





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