We built Workflow86 to help teams build and automate their internal business processes and workflows using drag and drop components like forms, tasks, tables and nodes for business logic, API requests, running custom code etc. It works as a standalone process/workflow automation tool, or as a workflow customization layer on top of existing apps and systems like HRIS, CRM and ERP.
One common problem we hear from users is that no-code still has a significant learning curve, and it can take some time to understand how to properly build something. Users also needed help with knowing what to build in the first place, or what a process might or should look like.
To solve this, we've integrated an AI that acts as a business analyst/consultant and workflow automation engineer. This AI is powered by a combination of Large Language Models and lots of prompt engineering, RAG and prompt chaining techniques we developed along the way.
See a demo of it in action here: https://www.loom.com/share/fdbd5ad64c8f4071a062ecaa6a6d01f1?...
In business analyst/consultant mode, the AI helps users brainstorm ideas, identify and discover processes and draft what a process should look like. Like a business analyst/consultant, the AI works to pull and extract information and details from the user by asking the right questions rather than rely on the user's instructions alone.
Once the required information has been gathered, the AI goes into engineer mode: it will plan and then build the entire workflow by selecting the right nodes, connecting them together and then fully configuring every single node individually as well. This includes writing custom code and API requests using stored credentials when required.
Once a workflow is built, edits can be done manually or by asking the AI to adjust the workflow at any time (e.g., “Add a compensation band check before final approval”). The AI has full context of the current state of the workflow, so it can “patch” in any changes like adding new nodes, rewriting existing nodes and so on.
Some use cases we’ve seen from customers include building: - automated compliance checks for new CRM leads - custom international contractor onboarding workflows on top of a HRIS - automated vendor risk assessment before ERP updates
Try it out and let us know how the AI performs and any other feedback you have!
Full docs can be found at https://docs.workflow86.com
I think ChatGPT really kicked that off, but maybe it was something else that inspired it?
Less normie/friendly and more technical sounding. So far, I'm a fan!
Not because it isn’t useful (to be honest it looks decidedly useful as an API aggregator service) but the fact that one of its main selling points is for “AI”.
Yet, if we had AI, it would be able to build these integrations itself
These credentials can then be use in the API node (where the AI can write a custom curl) or the run code component (where the AI can write custom python or js code to make an HTTP request).
I am in a similar space and our product creates workflows from prompts. Internally it is a JSON schema generator and response parser (from AI). We focus on creating assistants (personal or team) that reside on local computers, can crawl, read from any data source and build a knowledge graph for search, daily tasks, etc.
In our UI efforts (we are really behind in this) the graph editor is starting to look like how I see in your product.
Congrats on shipping this.
Off topic question out of curiosity:
If we are builde a simpler visual "workflow" tool that allows users to drag and drop components on to a canvas, connect them, create brancing logic etc and configure properties of each components in a properties panel .... is there a good open source library/framework that we can add to say a React front end that has a lot of this UI already available? Thanks
That said, maybe this would be really valuable to someone doing a greenfield project without needing to back into existing workflows. Either way, cool project.