What operators run on MAIA.
The questions buyers actually ask, answered the way we would answer them in a briefing — including the parts most vendors leave out.
Protected B AI deployment in Canada
What it takes to run AI decision support inside a Government of Canada Protected B envelope — and how MAIA is architected for it.
Read the answer →Canadian data residency for AI platforms
Residency is easy to claim and hard to keep. The questions that separate a residency promise from a residency architecture.
Read the answer →Air-gapped AI deployment
What survives when the internet is removed — and why most AI platforms don't.
Read the answer →AI case management for the public sector
Case files, approvals, evidence, and audit — the workflow spine of government, made continuous.
Read the answer →Automated compliance checking
Machine-readable rules, deterministic verdicts, and the honest fourth answer: 'this needs a human.'
Read the answer →An audit trail for AI decisions
If an AI system acted and no ledger recorded why, the institution — not the vendor — carries the liability.
Read the answer →Human-in-the-loop AI for government
Automation that keeps discretion where statute puts it: with the accountable officer.
Read the answer →AI workforce scheduling for 24/7 operations
Coverage gaps found before they open, reliefs drafted with evidence, and every override on the record.
Read the answer →From predictive maintenance to a dispatched decision
A prediction is not a decision. Closing the gap between the anomaly score and the work order.
Read the answer →Decision support for emergency management
When the operational picture changes by the minute, the decision queue matters more than the map.
Read the answer →ISR fusion and decision support
Multi-modal fusion with a provenance trail built to survive an inspector general.
Read the answer →AI-assisted regulatory reporting
Reports that assemble themselves from the ledger — with a citation under every number.
Read the answer →