360 Technology

AI governance

How to Build an Enterprise AI Governance Model

A practical operating model for AI intake, risk scoring, responsible AI controls, human review, monitoring, and audit readiness.

Create intake and risk tiers

Every AI idea should move through a consistent intake path that captures data sensitivity, user impact, automation level, regulatory exposure, and business value.

Define human review patterns

Responsible AI depends on knowing which decisions can be assisted, which actions require approval, and where escalation is mandatory before production release.

Monitor models and workflows

Governance should include evaluation, source attribution, incident response, usage monitoring, cost visibility, and evidence that auditors can understand.

Leadership actions

What to do next.

Stand up AI intake and risk scoring
Document controls by use case type
Create executive AI governance dashboards

Let us build what is next

Turn insight into an executable roadmap.

Talk with 360 Technology about the platforms, teams, and operating model your transformation needs next.