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Government & Public Sector
AI systems for government, scoped for review from the start.
Bounded AI pilots for Canadian government teams, built to the Directive on Automated Decision-Making. The impact assessment starts in week zero, and the data stays
Why pilots stall
Plan the review alongside the pilot.
The federal AI Strategy for the Public Service, published in 2025, asks departments to adopt AI with care and with speed. Pilots stall in the review that should have started on
The assessment arrives after the demo
A pilot is shown. Then the impact assessment, the privacy review, and the security questions arrive in week six. The
The data cannot leave
Protected information stays in Canada or on your systems. We write down where a prompt is processed, stored,
The decision must stay human
A system that affects a person's rights needs notice, an explanation, and a person who
What we build
AI workflows for public-service teams.
Ten of the eleven systems in our catalogue have a public-sector shape. Each line below is that shape, and each links to the full description, the build steps and
Cognitive automation
Lead qualification agents
Applications are read, checked, and routed. A person on the program makes
Machine interactions
Customer support agents
Questions about eligibility and status are answered from published policy, with the source named. A person handles
Cognitive automation
Document processing agents
Forms are read into the case system. Every field points back to its page. Staff work
Machine interactions
Internal knowledge assistants
Staff questions are answered from your documents, with the source attached. You also get the questions the documents could
Insights and predictive modelling
Ad optimization systems
Awareness and recruitment ads run to a written spend rule. Every budget change
Insights and predictive modelling
Client reporting automation
Reports to a funder or a council go out on a set schedule. Every figure names its dates and
Cognitive automation
Content engines
Public pages stay current from a written standard. Every claim has
Insights and predictive modelling
Computer vision systems
Inspection from photos, and digitizing archives when text recognition fails. Image work can stay
Machine interactions
MCP servers and agent-callable surfaces
Public data is available to assistants as read-only tools, with limits and
Cognitive automation
Always-on operations agents
Repeat admin runs on a schedule in the department's own systems. Anything outside the written limits is flagged to
How we work
Built to the directive.
The Treasury Board Directive on Automated Decision-Making is the federal standard. We assess the impact, explain the decision, and keep
Step 1
Impact assessment first
We complete the Algorithmic Impact Assessment with you in week zero. The level it returns sets the notice, the explanation, and
Step 2
Bounded pilot, fixed price
One workflow, a written finish line, and a price agreed before the build. A pilot sized for a low-dollar contract can start
Step 3
Residency and access designed in
Data stays in Canadian cloud regions or on your systems. You grant access, and you can revoke it. The data flow is written for your
Step 4
Audit trail from day one
Every action carries its reasoning and can be reversed. The log is yours. A person can reconstruct a decision
Residency and security
Where the data goes, in writing.
Every system for a public body has a written data flow: what is sent, which model, which region, what is stored, and who can read the log. Processing runs in the Canadian regions of AWS, Microsoft Azure, and Google Cloud, or on your
Our published trust and security page covers the rest: client-granted, revocable access; credentials in managed stores; an AI governance summary aligned to the four functions of the NIST AI Risk Management Framework; our subprocessor list; and a data processing agreement on request. There is also a one-page security summary written for a procurement reviewer. We do not hold a SOC 2 report or a facility clearance, and we say
Key personnel
Who leads every build.
Every public-sector build is led by the person who has run these automations on live accounts every day
Procurement
A Canadian supplier, sized for a pilot.
Strataigize is a Vancouver company founded in 2023. Our AI builds are scoped as fixed-price pilots, one bounded workflow over 30 to 90 days. Prices are published on the pricing page so your team can compare the scope and budget before
Public Services and Procurement Canada's Artificial Intelligence Source List sorts AI purchases into three categories by business outcome, and the catalogue maps each of our systems to one of them so a procurement officer can see the fit at a glance. We are not on that list today. We requested the invitation to qualify package from the contracting authority on 14 September 2026 and will respond when it arrives. Before you talk to any vendor, including us, the 24 questions to ask an AI agent vendor and the pilot structure that survives procurement are the two reads that save the
Proof of the method
The systems we run on ourselves.
$160K+Founder-estimated annual cost of two avoided hiresStrataigize Marketing
AI Agents for Business: Our Agency's AI Operations Agent
50+Estimated team hours saved weeklyStrataigize Marketing
How Our Marketing Agency Uses AI Agents to Automate Busywork
Questions
Public-sector AI, answered.
Which procurement paths can a department use?
Do you handle Protected B information?
How long does a public-sector pilot take?
Start the review on day one.
A free 30-minute consultation with the senior team helps identify the workflow, the review questions and what a paid pilot