Enterprise-grade governance — whatever your size
The things that decide whether AI ever gets past a pilot are built into SmartSpace from the start — not a chatbot bolted on.
Smaller teams get the same guardrails, logging and security boundary without needing an internal AI or security function. Larger organisations get exactly what their risk, audit and procurement teams ask for.
AI harness with guardrails
Every agent and workflow runs inside a controlled harness — grounded responses, allowed tools, content and prompt guardrails, human-in-the-loop where it matters.
Logging and auditability
Every prompt, retrieval, tool call and output is logged. Show an auditor exactly what was asked, what data was used and what the model returned.
Your security boundary
Runs in your tenancy under your identity, networking and retention rules. Source permissions are honoured — people only ever see what they already had access to.
Evaluation and cost control
Test and version workflows before release, monitor quality, and see token and compute spend per use case in your own Azure billing — so a small budget stays predictable and a large one stays accountable.
Roles and governance
Workspaces, dataspaces and role-based access keep teams, data and use cases cleanly separated — simple enough for one small team, structured enough for thousands of people.
Model and tool choice
Bring the models and services you're approved to use. Swap them per use case without rebuilding the workflow around them.