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Artrilogic

AI governance

Automation with authority, boundaries and accountability.

Every automated action works within set limits: what it may read, what it may change, when it must ask a person, and what record it leaves. For businesses adopting AI that need to explain every decision it makes.

Talk to us about governanceHow we govern AI

01 / The question

“Can AI do this?” is the easy question. The one that matters is: under what conditions should it be allowed to?

02 / Read on

Governance in four parts.

Start with what it is, or go straight to how we do it.

03 / Evidence

Governed integration, in progress.

Our first governed integration engagement is under way. It is described by its aims, not results, until the work is complete.

  • Client work in progress

    Governed AI access to an Australian SaaS platform (MCP server estate)

    Making the platform's capabilities available to AI agents through Model Context Protocol (MCP) servers, built on open foundations, with access governed at the integration layer.

    Read the case study

All published work, delivered and in progress, is on case studies.

Already using AI?

Find out what your current AI use is allowed to do.

We map what your AI tools are permitted to do, what they actually do, and the controls that close the gap. Or start with a new process and build the controls in from the start.

Talk to us about governanceAI Workflow Assessment