Ona gives organizations a central control plane for agent adoption. Define environments, tools, permissions once without drifting into shadow AI or one-off local setups.

95%
CI pipeline migration automated
88%
acceptance rate of Ona reviewed PRs
300 repos
Python versions upgraded at once
Every team uses agents inside the same governed foundation.
Ona applies your approved environments, tools, permissions, and workflows so agent work always adheres to patterns your organization trusts.

Central governance should not slow teams down.
Ona runs approved workflows across thousands of repositories in parallel, updating pipelines, dependencies, or policies while every run stays visible and governed.
Agent work should be visible, governed, and traceable from the start.
Each Ona run happens inside your network, preconfigured with your tools and permissions, with every action logged so teams can adopt agents without creating a shadow toolchain.

Agents are most useful when they follow the same golden paths as your teams.
Ona encodes approved frameworks, dependencies, and infrastructure standards so agent output stays aligned with the systems your organization already supports.

Standards only work when the supporting docs stay current.
Ona updates READMEs, configs, and runbooks as it works, keeping each repo aligned with the way your organization expects agent work to run.
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Why enterprises need governance, reproducibility, and cost controls underneath coding agents.
Read the post
The infrastructure, governance, and build-vs-buy tradeoffs behind deploying agents at scale.
Read the guide
Ready-made templates for code review, dependency updates, security remediation, and more.
Browse templatesGive every team access to agents with approved environments, permissions, workflows, and audit trails built in.
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