BOSAI

BOSAI

Govern AI agents with human approval and audit trails

BOSAI
@BOSAI
Published on Aug 26, 2026
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160 PeerPush
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#2 Product of the Day

Aug 27, 2026

About BOSAI

BOSAI is a control plane for governed AI-assisted work and AI agents. It structures sensitive operations into a traceable sequence: event detection, diagnosis, dry-run, human review, single-use Human GO, controlled decision, verified readback, and audit packet. Teams use BOSAI to define what an agent may do, stop incomplete or unsafe actions, preserve evidence, and maintain clear human authority over consequential execution. BOSAI is not another chatbot or generic automation platform. It is the governance layer between AI recommendations and real-world action. The current release provides controlled-access, demo-safe workflows for incident operations and AI agent governance.

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Reviews (4)

Average 5.0 out of 5

5.0

Based on 4 reviews

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Comments (3)

tushar
@tushar

The human approval step is what stands out here. Giving AI agents room to assist while keeping consequential actions traceable and under clear human control feels like a sensible approach to AI governance.

BOSAI
@BOSAI

Thanks, Tushar — exactly. BOSAI gives AI agents room to assist, but consequential actions stay behind explicit human approval, with traceability and evidence of what was executed.

omribenshoham
@omribenshoham

Deploying AI agents at scale requires more than just good models - you need oversight mechanisms that don't create bottlenecks. BOSAI's approach to human approval and audit trails means you can actually scale agent-driven workflows in regul

BOSAI
@BOSAI

@omribenshoham Thanks — exactly. The challenge is scaling oversight without turning governance itself into the bottleneck. Human approval and auditability need to be part of the execution path, not added after the fact.

BOSAI
@BOSAI

Hi PeerPush — I’m Arthur Franck, founder of BOSAI. We built BOSAI around a simple problem: AI agents are becoming capable of acting, but organizations still need a clear authority layer before conseq