ARTIFICIAL MIND INSIGHTS

Practice Cases

Explore practical scenarios for evaluating where AI can help, how work may change, and what governance and assurance are appropriate.

These illustrative cases highlight practical decisions about AI value, adoption, governance and assurance.

Prioritising an AI portfolio across teams

How to compare opportunities and select worthwhile work across teams.

Read the case →

Invoice processing with human oversight

Where AI assistance may add value and when human approvals matter.

Read the case →

Trusted knowledge and governed AI

An illustrative approach to reliable information and accountable AI use.

Read the case →

AI platform: value and assurance

How to consider business outcomes alongside authority, risks and controls.

Read the case →

AI adoption in industrial operations

An example of adoption, work design and risk-based implementation.

Read the case →

From AI experiments to production-ready AI

The decisions that help move AI towards accountable operational use.

Read the case →

AI agents: business value and control

When AI agents can help, which safeguards matter and what to verify.

Read the case →
en_USEnglish