AI Agent & Engineering Governance

Govern What AI Actually Does

Oconee Runtime helps organizations govern supported AI-assisted engineering activity using organizational policy and development context.

Video 3 — AI Engineering Governance

The combined engineering governance walkthrough: an AI-assisted action evaluated against repository context and organizational policy.

add oconee-runtime/assets/NN-engineering-governance.mp4

  1. AI action
  2. Context evaluated
  3. Policy applied
  4. Warn / Block
  5. Audit evidence

What you get

Governance that understands the action, not just the prompt

Prompt filtering answers what someone typed. Engineering governance answers what the AI is attempting to do, and where.

  • Action-aware governance
  • Repository-aware policies
  • Command and engineering activity controls
  • Allow / Warn / Block
  • Centralized audit visibility
  • Real-time alerts
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Proportional enforcement

Governance proportional to risk

Same AI action. Different repository. The policy decision changes because the context does.

Scratch repository

  1. AI action
  2. → Policy evaluated

WARN

Low-sensitivity context. The developer is informed and keeps moving.

Production / critical repository

  1. Same AI action
  2. → Repository sensitivity evaluated

BLOCK

High-sensitivity context. The action is stopped and recorded as evidence.

Blanket blocking gets switched off. Governance that scales with risk gets kept.

See it in your own environment

Install in minutes and watch real AI activity from your own repositories flow into the dashboard.

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