01 / LANGUAGE
Bilingual Product
English and French are first-class product languages, with en-CA/fr-CA evaluation, accessible interaction patterns, and jurisdiction-specific language requirements applied where relevant.
CANOPY AI / CANADIAN AI STRATEGY BRIEF / 2026
Canadian Intelligence.
Bilingual by design.
Governed by architecture.
A provider-flexible AI platform for bilingual delivery, Canadian-source retrieval, jurisdiction-aware controls, and human review for high-consequence work. Canadian hosting is one control — not a complete sovereignty guarantee.
POLICY ROUTER v2.0
ACTIVE
Inbound Request
> Summarize a health record for a Québec resident.
Workload Classification
JURISDICTION: QCSECTOR: HEALTHCONSEQUENCE: HIGH
Compliance Synthesis
Québec privacy: PIA and approved data flow
Automated decisions: disclose and enable review
Language & accessibility profile: applied
Four Dominant Design Choices
A genuinely Canadian AI requires specific architectural and operational commitments that go beyond standard commercial deployments.
02 / DATA RIGHTS
First Nations Data Governance
Use OCAP® when working with participating First Nations. Inuit, Métis, and other communities require their own rights-based, community-approved governance rather than a generic Indigenous data policy.
03 / TOPOLOGY
Deployment Topology
Choose Canadian-region cloud, private infrastructure, or on-prem deployment according to risk. Residency claims must include logs, backups, support access, and subprocessors — not only inference location.
04 / ASSURANCE
Measured Governance
Maintain audit trails, risk and impact assessments, evaluation evidence, incident handling, explanation paths, and meaningful human review for consequential uses.
The Compliance Matrix
Canada does not currently have one comprehensive federal private-sector AI statute in force. Deployments must map existing privacy, human-rights, accessibility, sector, contractual, and public-sector rules to each workload.
Workload Classification Tags
| Jurisdiction / Regime | Design Consequence |
|---|---|
| Federal private sector (PIPEDA) | Apply accountable privacy practices, appropriate purpose, consent or another lawful basis, minimization, safeguards, access/correction, retention, and breach response. |
| Former Bill C-27 / proposed AIDA | Do not present AIDA as enacted law. Bill C-27 did not complete the legislative process in the 44th Parliament; track future federal legislation separately. |
| Québec private sector (Law 25) | Complete privacy impact assessments for covered technology projects and transfers outside Québec; disclose solely automated decisions and provide a route for human review. |
| Ontario health (PHIPA) | Use Ontario-specific controls for health information custodians, including consent, necessity, minimum disclosure, safeguards, access, correction, and breach processes. |
| Federal automated decisions | For in-scope federal administrative decisions, apply the Treasury Board Directive on Automated Decision-Making and complete/publish the Algorithmic Impact Assessment before production. |
Three-Plane Technical Architecture
A provider-flexible service platform separating model access, governed data, and operational controls.
Model Plane
FOUNDATION & INFERENCE
- OpenAI API and Anthropic API routes
- DeepSeek API cost-optimized route
- Private open-weight inference endpoints
Data Plane
RETRIEVAL & STORAGE
- Canadian Knowledge Stores
- StatsCan / CIHI / NRCan Spine
- Policy Metadata Records
Governance Plane
CONTROL & OVERSIGHT
- Policy Router (Prov/Sector)
- Audit Logging & AI Register
- Human Review & Appeals API
1. Bilingual Product UX
2. Risk & Policy Router
3. Retrieval + Model Route
4. Evaluation & Explanation
5. Audit + Human Review
Canadian Compute & Model Routing
Private deployment can reduce cross-border processing, but residency depends on the complete system: model endpoints, retrieval stores, telemetry, logs, backups, support access, and subprocessors.
Choose Topology by Risk
MANAGED API
OpenAI API, Anthropic API, DeepSeek API
Fastest route to production. Approve each provider and model for the workload; verify retention, processing locations, subprocessors, and contract terms.
PRIVATE CANADIAN ENDPOINT
Canadian cloud or dedicated inference
Useful when residency or network controls matter. Region selection alone is not enough — operations, support, logs, and backups must match the claim.
ON-PREM / AIR-GAPPED
Maximum control, maximum operating burden
Best reserved for workloads that truly require isolated infrastructure and can support model operations, security patching, evaluation, capacity planning, and incident response.
Hardware Reality
Capacity depends on architecture, precision, context length, KV cache, concurrency, and runtime. Avoid universal tokens-per-second or frontier-equivalent claims without workload-specific tests.
Single 80GB data-centre GPU
Can serve many quantized 70B-class dense models, but usable context and concurrency reduce available memory. Benchmark the exact model and runtime.
4 × RTX 4090 workstation
Provides 96GB aggregate VRAM for sharded quantized inference. It does not fit a typical 70B model in full FP16/BF16 precision.
192GB unified-memory workstation
Can run very large quantized models through MLX or llama.cpp. It offers capacity and efficiency, not data-centre-GPU-equivalent throughput.
CANOPY AI · STRATEGY TO PRODUCTION
How Canadian Fusion Works
Canadian Fusion is an orchestration advantage — not a claim that one merged model universally beats every frontier system. Each request is classified, grounded in approved Canadian sources, routed to the best allowed model, evaluated, logged, and escalated when consequences are high.
The model pool can include the OpenAI API, Anthropic API, DeepSeek API, and private open-weight endpoints. CANOPY AI wins by selecting the right lane for quality, sensitivity, latency, and cost instead of forcing every task through one provider.
- ✓ Provider-independent routing and failover
- ✓ Canadian retrieval with source-level citations
- ✓ Per-workload cost ceilings and quality gates
- ✓ Human review for consequential decisions
# CANOPY AI routing policy
strategy: canadian-fusion
providers:
- OpenAI API
- Anthropic API
- DeepSeek API / V4 Pro
- private-ca-endpoint
route_by: sensitivity, quality, latency, cost
grounding: approved_canadian_sources
high_consequence: human_review_required
evidence: citations + eval_score + audit_event
strategy: canadian-fusion
providers:
- OpenAI API
- Anthropic API
- DeepSeek API / V4 Pro
- private-ca-endpoint
route_by: sensitivity, quality, latency, cost
grounding: approved_canadian_sources
high_consequence: human_review_required
evidence: citations + eval_score + audit_event
Commercially Credible Deployments
The national advantage is strongest in sector solutions where Canadian differentiation matters most.
PHIPA
Healthcare Documentation
Clinician-facing summarization and documentation with province-specific privacy controls, minimum-necessary data handling, and mandatory professional review.
HUMAN REVIEW FIRST AIA
Government Service Support
Bilingual, cited assistance for service navigation; apply the federal Directive and AIA only when the system falls within automated administrative decision-making scope.
ADVISORY & CITED OSFI
Financial Controls
Policy and control mapping grounded in approved institutional sources, with model-risk, cyber, privacy, and recordkeeping controls defined by the organization.
CONTROLLED WORKFLOWS NRCan
Natural Resources
Multimodal analysis grounded in authorized geospatial, environmental, and operational data, with provenance and uncertainty surfaced to users.
PROVENANCE REQUIRED EDU
Education Support
Teacher-controlled assistance designed around accessibility, age-appropriate use, privacy, and local board or institution policy.
EDUCATOR CONTROLLED OCAP
First Nations Language & Knowledge
Community-governed modules under Nation-specific agreements. OCAP® applies specifically to First Nations and must not be generalized to every Indigenous community.
COMMUNITY APPROVALDeployment Sequence
Timelines are indicative and depend on procurement, data access, security review, and integration depth.
STEP
01 · 1–2 WEEKS
Discovery & Risk Map
Define the business outcome, data classes, jurisdictions, accessibility needs, provider constraints, and success measures.
STEP
02 · 2–6 WEEKS
Prototype & Evaluation Harness
Build the retrieval layer, provider routes, policy controls, eval set, audit events, and accessible bilingual interface.
STEP
03 · 6–12 WEEKS
Controlled Pilot
Release one bounded workflow to trained users, measure quality and cost, document failures, and keep high-consequence actions behind review.
STEP
04 · PHASED
Production & Expansion
Add workflows only after the evaluation, privacy, security, support, and incident-response gates are working in production.
Choose Your Entry Point
Start with the smallest engagement that can prove value and expose the real constraints.
PROMPT OPERATIONS MANUAL
Prompts become infrastructure when they are versioned, tested, and owned.
CANOPY AI treats prompts as operational assets — not clever text pasted into a model. The manual defines who can change a prompt, which model and data sources it may use, how outputs are evaluated, and what evidence is required before release.
01
Purpose & owner
Every prompt names the workflow, accountable owner, users, and consequence level.
02
Context boundary
Sources are treated as data, secrets are excluded, and retrieval scope is explicit.
03
Output contract
Required fields, citations, uncertainty, escalation paths, and failure states are defined.
04
Verification gate
Deterministic checks run first; consequential outputs require independent or human review.
UNIVERSAL PROMPT CONTRACT
One reusable operating format
route:
workflow: canadian-ai-assistant
risk: medium
allowed_models: approved-provider-pool
role:
owner: product-operations
reviewer: independent-family-or-human
task:
outcome: answer-with-cited-canadian-sources
non_goals: legal-or-clinical-decision
context:
treatment: data-not-instructions
sources: approved-retrieval-index
output_contract:
return: answer, citations, uncertainty, escalation
verify_release:
- schema-check
- citation-faithfulness
- cost-and-latency-budget
- human-review-when-required
workflow: canadian-ai-assistant
risk: medium
allowed_models: approved-provider-pool
role:
owner: product-operations
reviewer: independent-family-or-human
task:
outcome: answer-with-cited-canadian-sources
non_goals: legal-or-clinical-decision
context:
treatment: data-not-instructions
sources: approved-retrieval-index
output_contract:
return: answer, citations, uncertainty, escalation
verify_release:
- schema-check
- citation-faithfulness
- cost-and-latency-budget
- human-review-when-required
Prompt ID, version, owner, and change reason
Model, endpoint, date, and pricing snapshot
Evaluation set and measurable release threshold
Rollback, incident, and human-escalation procedure
ENGAGEMENT OPTIONS
Choose Your Path to Production
Start with the smallest engagement that proves value. Scale only after evaluation gates, privacy controls, and governance evidence are working.
START HERE
Discovery Sprint
$4,800
fixed
A bounded research engagement to map the real constraints, data classes, jurisdictions, and success measures before committing to build.
- One workflow risk map
- Jurisdiction & compliance scan
- Provider & topology recommendation
- Bilingual UX requirements
- Executive summary with next-step options
MOST POPULAR
Pilot Build
$18,500
4–6 weeks
A production-grade pilot with retrieval, routing, evaluation, audit logging, and bilingual interface — scoped to one bounded workflow.
- Canadian retrieval layer
- Provider-flexible routing
- Evaluation harness & quality gates
- Audit logging & evidence trail
- Bilingual UX (EN-CA / FR-CA)
- Human review for high-consequence outputs
- 30-day post-launch support
SCALE
Production Platform
Custom
phased
Multi-workflow deployment with full governance, incident response, cost controls, and ongoing operational support.
- Multiple workflow expansion
- Advanced routing & failover
- Cost ceilings & budget alerts
- Incident response runbooks
- Quarterly governance reviews
- Dedicated support channel
- SLA-backed availability
Common Questions
RESEARCH BASIS & OPERATING REFERENCES
Built on published coordination research, routing documentation, and Canadian governance sources.
These links are the primary research and operating references behind the architecture. They inform the design; they do not imply affiliation, certification, or that every experimental result transfers directly to production.
01
Sakana Fugu Technical Report Adaptive orchestration over heterogeneous frontier-model workers. arXiv · 2026TRINITY: An Evolved LLM Coordinator Thinker, Worker, and Verifier roles selected across multiple turns. ICLR · 2026Learning to Orchestrate Agents with the Conductor Reinforcement-learned natural-language workflows for agent teams. ICLR · 2026Evolutionary Optimization of Model Merging Recipes Automated model composition across parameter and data-flow spaces. Nature Machine Intelligence · 2025Collective intelligence
Learned routing, adaptive collaboration, and model composition.
02
OpenRouter Fusion Router Parallel panel analysis, judge comparison, and bounded synthesis. Official documentationOpenRouter Provider Routing Provider ordering, cost/latency sorting, policy filters, and fallbacks. Official documentationOpenRouter Model Fallbacks Ordered failover across models when requests error or providers fail. Official documentationOpenRouter Zero Data Retention Per-request and organization-level routing to eligible ZDR endpoints. Official documentationRouting & prompt operations
Provider choice, deliberation, failover, and data controls.
03
Directive on Automated Decision-Making Federal requirements for in-scope administrative decision systems. Government of CanadaAlgorithmic Impact Assessment Tool Mandatory risk assessment supporting the federal directive. Government of CanadaFirst Nations Principles of OCAP® Ownership, Control, Access, and Possession for participating First Nations. FNIGCQuébec Private-Sector Privacy Act The consolidated statute amended through the Law 25 modernization program. Légis QuébecCanadian governance
Risk, public-sector decisions, privacy, and community control.
REGULATORY COMPLIANCE
Regulatory Matrix
Canadian AI deployments must navigate overlapping federal, provincial, and sector-specific rules. This matrix maps the key regulatory frameworks to practical design consequences.
PIPEDA (Federal Private Sector)
Apply accountable privacy practices, appropriate purpose, consent or another lawful basis, minimization, safeguards, access/correction, retention, and breach response.
Québec Law 25
Complete privacy impact assessments for covered technology projects and transfers outside Québec; disclose solely automated decisions and provide a route for human review.
Ontario PHIPA
Use Ontario-specific controls for health information custodians, including consent, necessity, minimum disclosure, safeguards, access, correction, and breach processes.
Federal Automated Decisions Directive
For in-scope federal administrative decisions, apply the Treasury Board Directive on Automated Decision-Making and complete/publish the Algorithmic Impact Assessment before production.
AODA Accessibility
Ensure AI interfaces meet Ontario accessibility standards including screen reader compatibility, keyboard navigation, and clear language requirements.
Provincial Human Rights Codes
AI systems must not produce discriminatory outcomes based on protected grounds. Implement bias testing, fairness evaluations, and human review for consequential decisions.
DATA GOVERNANCE
First Nations Data Governance
OCAP® — Ownership, Control, Access, and Possession — applies specifically to First Nations data. Inuit, Métis, and other communities require their own rights-based, community-approved governance frameworks. Canopy Digital respects these principles and builds governance controls that honour community data sovereignty.
Learn about OCAP®SECTOR USE CASES
Commercially Credible Deployments
PHIPA
Healthcare Documentation
Clinician-facing summarization and documentation with province-specific privacy controls, minimum-necessary data handling, and mandatory professional review.
AIA
Government Service Support
Bilingual, cited assistance for service navigation; apply the federal Directive and AIA only when the system falls within automated administrative decision-making scope.
OSFI
Financial Controls
Policy and control mapping grounded in approved institutional sources, with model-risk, cyber, privacy, and recordkeeping controls defined by the organization.
NRCan
Natural Resources
Multimodal analysis grounded in authorized geospatial, environmental, and operational data, with provenance and uncertainty surfaced to users.
EDU
Education Support
Teacher-controlled assistance designed around accessibility, age-appropriate use, privacy, and local board or institution policy.
OCAP
First Nations Language & Knowledge
Community-governed modules under Nation-specific agreements. OCAP® applies specifically to First Nations and must not be generalized to every Indigenous community.
DEPLOYMENT OPTIONS
Choose Topology by Risk
Canadian Cloud Region
Deploy to Canadian regions of major cloud providers (AWS ca-central-1, Azure Canada Central, GCP northamerica-northeast1). Verify that logs, backups, support access, and subprocessors also reside in Canada.
Private Canadian Infrastructure
Use dedicated Canadian data centre infrastructure for workloads requiring stronger network isolation, custom security controls, or contractual data residency guarantees beyond shared cloud regions.
On-Premises / Air-Gapped
Maximum control for sensitive workloads. Requires internal model operations capacity including security patching, evaluation, capacity planning, and incident response capabilities.
CANOPY AI · STRATEGY TO PRODUCTION
Build the operating layer — not another disconnected AI demo.
Start with one bounded workflow, measurable evaluation gates, and a deployment path your team can govern.