Most AI agents can suggest actions. Few can safely execute them in production. Aokumo AI provides the governance, approval, rollback, audit trail, and execution layer that enterprises need to deploy AI agents across cloud infrastructure, DevOps, security, and IT operations. Teams can automate operational workflows while maintaining human oversight, compliance, and control. Built for enterprises that want AI agents to do more than chat.
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Hunter
📌
Hi Product Hunt 👋
I'm Younes, founder of Aokumo AI.
Most AI agents today can analyze, recommend, and chat. The problem starts when you want them to actually do something in production.
Enterprises need approvals, governance, audit trails, rollback, and human oversight before AI can safely take action.
That's why we built Aokumo AI.
Aokumo AI is the governed execution layer for enterprise AI agents. It helps organizations safely automate cloud operations, DevOps workflows, security tasks, and IT operations while staying in control.
I'd love to hear from teams experimenting with AI agents in production:
What's your biggest blocker today—trust, governance, reliability, or something else?
Happy to answer any questions and looking forward to your feedback 🙌
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Having a solid rollback and audit layer is huge for production confidence. One thing that would make this even more useful is a built-in policy simulator that lets you dry-run approval workflows against historical incidents before going live, so teams can see exactly which actions would have triggered human review versus auto-execution.
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Hunter
@iltekinl67936 Thanks, Anıl! Great suggestion. We completely agree—being able to replay historical incidents to validate governance policies before enabling autonomous execution would give teams much more confidence. Really appreciate the feedback!
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The approval and rollback workflow actually feels solid, like it was built by people who've been burned by agents going rogue in prod. Glad someone's tackling the boring but critical governance layer instead of yet another chatbot wrapper.
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Hunter
@ardac7vv Thanks, Arda! That means a lot. This product comes from years of running production infrastructure ourselves, so governance, rollback, and auditability were priorities from day one.
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The focus on rollback and audit trails shows real respect for what enterprise teams actually need when moving agents past demos. Love that you built for the messy production reality instead of just the wow factor.
Having a solid rollback and audit layer is huge for production confidence. One thing that would make this even more useful is a built-in policy simulator that lets you dry-run approval workflows against historical incidents before going live, so teams can see exactly which actions would have triggered human review versus auto-execution.
@iltekinl67936
Thanks, Anıl! Great suggestion. We completely agree—being able to replay historical incidents to validate governance policies before enabling autonomous execution would give teams much more confidence. Really appreciate the feedback!
The approval and rollback workflow actually feels solid, like it was built by people who've been burned by agents going rogue in prod. Glad someone's tackling the boring but critical governance layer instead of yet another chatbot wrapper.
@ardac7vv
Thanks, Arda! That means a lot. This product comes from years of running production infrastructure ourselves, so governance, rollback, and auditability were priorities from day one.
The focus on rollback and audit trails shows real respect for what enterprise teams actually need when moving agents past demos. Love that you built for the messy production reality instead of just the wow factor.