Launching today

BOSAI Control Plane

Launching today

Govern AI agents with approval gates and audit trails

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Govern AI agents with approval gates and audit trails

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Automation tools

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Compliance software

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AI Workflow Automation

BOSAI is a control plane for governed AI execution. GPT-5.6 analyzes operational events, prepares a dry run, applies policy gates, waits for explicit human approval, executes one authorized action, and generates a verifiable audit trail.

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Launch tags:Productivity•Artificial Intelligence•Tech

Launch Team / Built With

Framer AI AgentsDesign and publish professional sites with AI

Promoted

OpenAI

OpenAI Day

How did GPT-5.6 change the ambition or scope of what you shipped?

Maker

GPT-5.6 allowed us to move BOSAI beyond a static approval dashboard into a governed execution system for AI agents. It can analyze operational events, produce structured recommendations, prepare dry runs, and generate evidence for human review. This let us expand the product from simple monitoring to a complete workflow: diagnosis, policy checks, explicit approval, one-time authorization, controlled execution, and a verifiable audit trail. The model increases the agent’s reasoning capability, while BOSAI keeps authority, scope, and accountability under human control.

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4h ago

Maker

📌

Hi Product Hunt — I’m Arthur, founder of BOSAI. We built BOSAI because capable AI agents should not act without clear boundaries. Our governed workflow is: event → GPT-5.6 diagnosis → dry run → policy checks → human approval → one-time permit → controlled execution → audit trail. For OpenAI Day, we’re showing how GPT-5.6 can reason inside a governed execution framework rather than act autonomously. I’d value your honest feedback: what evidence would you need before allowing an AI agent to take action inside your company?

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1d ago

Forum Threads

p/bosai-control-plane

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1d ago

What evidence would you need before letting an AI agent act?

AI agents are becoming capable of diagnosing problems, using tools, and executing real actions.

But intelligence does not automatically create authority. Before allowing an agent to modify a workflow, send a payment, publish content, or change production systems, what evidence would you need to see?

For example:
A dry run showing the predicted outcome?
The exact action, resource, and time window?
A human approval gate?
A single-use authorization?
An audit trail and verified readback after execution?

We are exploring this question while building BOSAI, a control plane for governed AI execution. I m interested in how other founders and operators define the minimum acceptable trust boundary.

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