THE TAGSG APPROACH TO AI
Local AI. Practical Applications. Human Oversight.
We explore AI as a tool for making real work easier: helping people draft, organise and review information within well-designed applications.
OUR PHILOSOPHY
Technology That Serves Real Work
AI is not the outcome. A more useful workflow, a clearer decision and a better user experience are the outcomes.
Start with a Purpose
Identify the exact task worth improving.
Design for Review
Users should know what needs checking.
Choose Sensibly
Evaluate the fit of local and other deployment approaches.
LOCAL AI CONSIDERATIONS
Understanding Local AI Deployment
Local deployment can be relevant where architecture, control and operational requirements justify it. Specific guarantees depend on a verified design.
Questions worth asking
Where does processing occur? What information enters the model? Who reviews the response? What happens when output is uncertain? These questions matter more than a fashionable label.
PRODUCT EXAMPLES
AI Assistance in TAGSG Applications
The owner identifies AI assistance as part of selected education-focused applications.
RewardStudies
Learning practice and gamified engagement, with owner-described AI-assisted activities.
TeacherPortfolio
Human-reviewed drafting of observation-led portfolio content.
RESPONSIBLE DESIGN
People Remain Part of the Process
The appropriate safeguards depend on the users, sensitivity of information and actual application architecture.
Reviewable Output
Make assisted content visible and editable.
Clear Boundaries
Define what AI can and cannot decide.
Practical Evaluation
Test quality using real representative tasks.
QUESTIONS
Common AI Integration Questions
Understand the decisions involved before implementing AI.
Does every system need locally deployed AI?
No. Deployment depends on the nature of the workload, available infrastructure, operating constraints and project objectives.
Can AI-generated content be reviewed?
Where AI assists with drafts or recommendations, a reviewable workflow can allow people to check and edit output.
Does local AI automatically guarantee data privacy?
No. Privacy depends on the entire system architecture, access controls, data flows and operational practices.
DISCUSS AN AI PROJECT
Make AI Useful to Your Organisation
Explore an AI-assisted workflow that makes practical sense for your team.