Currage Insights are written for operators: CEOs, founders, product leaders, and architects who need clarity without noise. This essay is designed to be practical—specific enough to act on, broad enough to guide strategy.
Governance that keeps up with velocity
As systems become more autonomous, governance cannot be quarterly. It must be continuous, measurable, and embedded.
Algorithmic governance is the idea that rules, policies, and checks are executed automatically—reducing reliance on manual policing.
- Define policy as code where possible.
- Use real-time monitoring for drift and anomalies.
- Run post-incident reviews that update the system, not just the playbook.
A practical model
Separate governance into three layers: (1) policy (what is allowed), (2) enforcement (how rules are applied), and (3) evidence (how compliance is demonstrated).
This makes compliance a system output, not a paperwork project.
- Policy: clear, minimal, testable.
- Enforcement: automated gates + human overrides.
- Evidence: logs, dashboards, and audit trails.
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