Most automation tools make you learn BPMN, hire developers, and wait weeks. Vevos AI is different. Describe your workflow in plain English — our AI generates the BPMN model, writes the code, validates it, and deploys it live. Automatically. No notation skills. No developers. No waiting. Our Autonomous Agents don't assist — they execute. From model to production in minutes.
How you handle edge cases in real business processes? Does the AI ask clarifying questions before deployment, or generate a draft flow for the team to review first?
@dmitrii_volosatov Yes. There is a PRD wizard which clarifies all the edge cases similar to how a product manager would clarify with the business team. The user can iterate to ensure that the PRD reflects all the business scenarios.
@prashant_singh80 Like all automation platforms, deep API changes require a workflow update. What differentiates Vevos is that our plain-English process layer means you describe the intent — not the API call — so when an integration needs updating, you update one connector definition, not every workflow that uses it. And because Conductor Agents are AI-native, re-mapping to a new API schema is dramatically faster than reconfiguring traditional node-based flows.
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How do you handle human approval steps and edge cases before something goes live in production?
@manal_essalek1 Every workflow Vevos generates includes explicit approval nodes and exception paths — because our AI asks the right questions upfront. You don't discover edge cases in production; you resolve them in the process description phase. And because it's BPMN 2.0 underneath, your compliance and ops teams can audit exactly what was approved before anything goes live
Hi Product Hunt,
Here is something I noticed after years of watching companies try to automate their work. The hardest part was never the automation. It was the diagram.
A team would spend three weeks in workshops drawing their process on a digital whiteboard. By the time the diagram was finished, the process had already changed. So they had a beautiful picture of a workflow that no longer existed, and still nothing that actually ran.
A diagram is a photograph of a car. It does not go anywhere.
That is what we built Vevos to fix. You describe a process in plain English. Vevos generates a professional BPMN model and full documentation from it. You review it, refine it, sign off. Then the Conductor Agents, our autonomous AI engineering team, build and deploy it as a live workflow.
The modeling and documentation are not skipped. They are just no longer three weeks of manual labor.
We are early, and we are launching here because Product Hunt has always been straight with founders. So I would genuinely like to know: the last time you tried to document or automate a process, where did it actually break down? The discovery phase, the handoff to engineering, keeping it current? That answer shapes what we build next.
Try it at vevos.ai and I will be in the comments all day.
The multi-agent conductor setup sounds powerful for handling multi-lane workflows. Just registered to test out a chaotic onboarding process model. Congrats on hitting Product Hunt today, the product looks rock solid@kirill_stolbushkin2