We built the control plane
we wished existed.

We were running Claude Code agents in production and had no good answer to "what exactly did your agent do last Tuesday?" We built the audit trail, the approval gates, and the policy engine — then realized every team running agents needed the same thing.

Make autonomous AI agents safe enough to actually trust in production. Not by slowing them down — by giving operators the visibility and control they need to run fast with confidence.

Agents should be auditable

Every action logged, every decision attributable, every approval recorded. If you can't audit it, you can't trust it.

Governance shouldn't be gated

SSO, RBAC, and audit trails shouldn't cost $60K/year. They should be the baseline, not a premium add-on.

You own your data

Your audit logs export to your S3. Your agents run in your VPC if you want. No lock-in — ever.

Built by engineers who ran agents in production and got burned. We've lived through runaway API costs, unauthorized deployments, and the 2 AM realization that nobody knows what the agent did. We built Sentrely so nobody else has to.

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Real-world lessons on running AI agents in production — RBAC patterns, audit gotchas, approval workflows. No spam.

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