AI Governance Consulting for Compliance-Driven Organisations

When an organisation operates under regulatory, contractual or internal compliance obligations, AI needs clear rules before it scales. CatalytIQ Systems helps organisations put practical AI governance in place, covering policies, ownership, risk and approval, in a form that people can actually follow.

Why governance comes before scale

Without agreed rules, AI use tends to spread informally: staff try different tools, data ends up in places it shouldn't, and nobody is clearly accountable when an output is wrong. Governance gives people a safe way to say yes to AI, rather than leaving every decision to individual judgement.

AI use policy and acceptable use

• Which AI tools are approved, and for what purposes.
• What information may and may not be entered into AI tools.
• When human review of AI output is required.
• How staff raise questions or report problems.

Ownership, risk and approval

• A register of the AI systems and tools in use across the organisation.
• A named, accountable owner for each AI system.
• Risk assessment that is proportionate to what each system does and the data it touches.
• Approval steps for moving from pilot to production.
• Monitoring and periodic review once systems are live.

Governance in regulated and compliance-driven organisations

AI governance works best when it builds on the risk, privacy and compliance processes an organisation already has, rather than creating a separate layer of bureaucracy. That means connecting AI decisions to existing obligations such as Australian privacy law, records management and any sector-specific requirements, and to the way your organisation already approves change.

Typical deliverables

Depending on scope, deliverables can include:

• An AI use policy and acceptable use guidance for staff.
• An AI system register and ownership model.
• A risk assessment and approval process for new AI use cases.
• Governance requirements for specific projects, such as an LLM integration.