Institutional AI integration in practice
Brellar explores how institutions integrate artificial intelligence into real-world systems and decision-making. While many organisations are adopting AI rapidly, few have clear models for how it should fit into existing workflows, governance structures, and operational realities.
Starting with schools as an initial environment for testing and validation, Brellar focuses on developing practical integration models and approaches that reflect how institutions actually operate in practice.
About Brellar
Across many institutions, AI adoption is moving faster than the systems needed to support it. As a result, organisations are often left navigating fragmented approaches, uncertainty, and implementation challenges that do not reflect how they actually operate in practice.
Brellar was created to explore a different approach, that starts with institutional context rather than copying standardised models. Through real-world pilot engagements, the work focuses on understanding how AI interacts with existing workflows, decision-making structures, and operational environments in order to support more thoughtful and sustainable adoption.
Pilot
Current Focus
AI is already entering classrooms and institutional workflows, but many schools still lack clear approaches for how it should be integrated into teaching, assessment, and decision-making in practice. Responses are often fragmented, ranging from bans to inconsistent experimentation, and many institutions are navigating AI without models that reflect their specific realities or constraints.
Brellar’s current focus is on pilot engagements with schools in the UK to better understand how AI interacts with existing systems, where implementation breaks down, and what institutional AI integration could look like in real environments.