Enterprise AI

AI Governance

AI governance encompasses the organization-wide policies, processes, and responsibilities for the responsible use of artificial intelligence. It regulates who may introduce AI systems, which quality and ethics standards apply, how risks are assessed, and how transparency and traceability are ensured.

Why does this matter?

With the EU AI Act, AI governance becomes a regulatory obligation for many companies. But even without legal pressure, it protects against reputational damage, data privacy violations, and uncontrolled shadow usage of AI tools by employees. Early governance establishment saves later compliance costs and builds trust with customers and partners.

How IJONIS uses this

We develop practical AI governance frameworks tailored to your company: responsibility matrix, risk classification per EU AI Act, model inventory with versioning, audit trail requirements, and employee guidelines. Not a theoretical paper but operationally actionable structures.

Frequently Asked Questions

Is AI governance only relevant for large enterprises?
No. The EU AI Act differentiates by risk level, not company size. Even a mid-sized company using AI in customer communication or personnel selection needs appropriate governance. Scope scales with AI usage — from a simple rulebook to a comprehensive management system.
What belongs in an AI governance framework?
Core elements: AI policy with clear dos and don'ts, risk classification of all AI applications, responsibilities (who approves what), model inventory with documentation, monitoring obligations, and an incident reporting process. We start pragmatically and expand iteratively.

Want to learn more?

Find out how we apply this technology for your business.