Artefacts
GABA develops a small number of structured artefacts designed for the age of AI.
Each artefact focuses on a specific problem organisations now face as AI systems increasingly interpret, summarise, and represent their work.
Some artefacts emerge from client engagements.
Others are developed through independent research in the studio.
They share a common aim: helping organisations communicate clearly and operate responsibly in an AI-mediated world.
Current artefacts include:
Responsible AI Review
A structured review helping organisations clarify how artificial intelligence is used, governed, and communicated.
Artificial intelligence tools are already appearing inside many organisations — drafting documents, analysing information, and supporting everyday work.
What is often missing is a clear account of how those tools are used and where responsibility sits.
Responsible AI Review helps organisations examine their current AI practices and describe them clearly — internally, externally, and to the AI systems that increasingly interpret organisations on behalf of people.
Agent Page
A framework for defining how organisations are interpreted by AI systems.
Agent Page helps organisations state their identity, intent, and boundaries in a form legible to AI agents acting on their behalf.
As search, recommendation, and decision-making increasingly shift to machines, Agent Page provides a clear reference, so organisations are represented deliberately, not inferred.
Clinical AI Boundaries
A framework for helping clinicians define responsible AI use in their practice.
Clinical AI Boundaries explores how professionals can clearly articulate where AI tools may support their workflow and where professional judgement must remain primary.
As generative AI begins to appear in clinical environments, questions of responsibility, verification, and data handling are emerging faster than formal guidance.
Clinical AI Boundaries investigates how clinicians might define these boundaries explicitly, creating a clear reference for how AI is used responsibly in practice.
