AI governance
An AI governance checklist for organisational leaders
Build a practical AI governance checklist: inventory systems, assign accountability, evaluate risk, document decisions and monitor deployed AI.
3 min read
Read the articleSENSYA / INSIGHTS
Ideas for responsible AI and better delivery.
Practical articles for leaders building trustworthy AI, stronger data foundations and public services that work.
Data foundations
Is your data ready for AI? A practical readiness assessment
Assess data readiness for AI through ownership, access, quality and operational fit. Use a focused assessment before investing in a model or platform.
3 min read
Read the articleEducation & public policy
Education Reform in a Global Context: Closing the Gap Between Policy and Practice
Explore the gap between education policy and classroom practice, why local context matters, and practical steps for schools, funders and edtech teams.
3 min read
Read the articleTechnology delivery
From AI pilot to production: what changes before launch
Move an AI pilot toward production with evaluation, data controls, operational ownership, monitoring and a tested fallback—not a bigger demo.
3 min read
Read the articlePublic policy & procurement
Responsible AI procurement: questions to ask suppliers
Ask AI suppliers about data access, evaluation, accountability, operational changes and exit plans before committing to a public-sector AI procurement.
3 min read
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