AI assists; people decide
Where AI is used for insight, summarisation or gap identification, the aim is to support informed human action rather than hide judgement behind an automated answer.
RESPONSIBLE AI & SECURITY
Intelligent software needs trustworthy foundations.
Our direction is to use AI where it can support a defined operational outcome while maintaining appropriate security, transparency, data controls and human oversight.
CORE PRINCIPLES
01Human oversight
02Purposeful AI use
03Data protection
04Traceability & accountability
AI IN CONTEXT
AI sits inside the workflow—not above accountability.
Our product direction uses intelligent assistance alongside structured data, permissions, evidence and human review.
Minimum necessary data
Product design should collect and process information because it is required for the workflow, evidence or service being delivered—not simply because it can be collected.
Role-based access
Users should see and change information appropriate to their responsibilities, supported by identity and permission controls.
Auditability
Operational platforms benefit from clear records of completion, evidence, status changes and actions so organisations can understand what happened and when.
Tenant separation
Multi-tenant products are designed around separation of organisation data and access boundaries as a core architectural concern.
Continuous improvement
Security, privacy and responsible AI are ongoing engineering disciplines that develop alongside product capability and commercial use.
BUILD WITH DGi SMART
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