The Pan-Canadian AI Strategy supports adoption across the economy and society.
Canada combines advanced AI research, manufacturing, natural resources, public services, finance and bilingual digital service expectations. AI projects must be trustworthy, secure, measurable and connected to real workflows.
The Pan-Canadian AI Strategy supports adoption across the economy and society.
English and French service workflows need clear templates, data and review.
Manufacturing, natural resources and services require integrated operational data.
Cybersecurity, data sovereignty and resilience shape AI deployment.
| Area | Typical challenge | RSYS response |
|---|---|---|
| Data | Information is split between ERP, CRM, spreadsheets, email, documents and cloud tools. | Shared database, validation rules, data ownership and reporting definitions. |
| Automation | Approvals, service requests, documents and reporting require repeated manual follow-up. | Forms, tasks, notifications, approvals, audit trail and dashboards. |
| AI | AI needs verified data, privacy controls, bilingual quality and human review. | Classification, summaries, forecasts and recommendations with governance. |
| Cybersecurity | Digital operations increase the value of customer, operational and regulated data. | Access control, logs, backups and NIST CSF 2.0-aligned risk management. |
AI can connect defects, maintenance, inventory, production orders and customer complaints.
Requests, responses, templates and history can support English and French workflows.
Data on assets, deliveries, incidents, suppliers and costs becomes easier to control.
Dashboards connect KPIs, risks, costs and quality with traceable source data.
| Stage | What happens | Result |
|---|---|---|
| 1. Process audit | Map forms, systems, roles, bilingual service points and repeated delays. | Clear automation priorities. |
| 2. Data foundation | Create database, permissions, imports, integrations and metrics. | Reliable foundation for workflow and AI. |
| 3. Workflows | Build forms, tasks, statuses, notifications, documents and dashboards. | Less manual follow-up and better visibility. |
| 4. Controlled AI | Add AI in defined scenarios with quality measurement and human review. | Practical value with controlled risk. |
[1] Government of Canada — Artificial Intelligence. https://www.canada.ca/en/services/science/innovation/artificial-intelligence.html
[2] Pan-Canadian Artificial Intelligence Strategy. https://ised-isde.canada.ca/site/ai-strategy/en
[3] Canada National Cyber Security Strategy. https://www.securitepublique.gc.ca/cnt/rsrcs/pblctns/ntnl-cbr-scrt-strtg-2025/index-en.aspx
[4] World Bank — country data and development indicators. https://data.worldbank.org/
[5] World Bank — Digital Development overview. https://www.worldbank.org/en/topic/digital/overview
[6] ITU — digital and cybersecurity indicators. https://www.itu.int/
[7] NIST Cybersecurity Framework 2.0. https://www.nist.gov/publications/nist-cybersecurity-framework-csf-20
[8] European Commission — AI Act. https://digital-strategy.ec.europa.eu/en/policies/regulatory-framework-ai
[9] European Commission — Data Act. https://digital-strategy.ec.europa.eu/en/policies/data-act
[10] OECD Digital Economy Outlook 2024. https://www.oecd.org/en/publications/oecd-digital-economy-outlook-2024-volume-2_3adf705b-en.html
[11] World Economic Forum — Global Lighthouse Network. https://www.weforum.org/impact/advanced-tecnologies-manufacturing-factories-scaling-innovations/
[12] Stanford HAI — AI Index Report 2024. https://arxiv.org/abs/2405.19522