AI-Powered Service Recommendations for Canadian Businesses
Wayfinding & Services · Marketing & Personalization
What it collects
- Curated, unclassified datasets covering government programs related to financing, innovation, licensing, permits, and government marketing initiatives. No personal information is included.
- Business profile information provided by the user, such as sector, stage of business, or areas of interest, used to generate personalized service recommendations. The register states no personal information is collected.
- Run by
- Innovation, Science and Economic Development Canada (ISED)
- Where
- No fixed location
- Kept
- No data retained
- Shared with
- Not stated by the Helpful Places.
- Your copy
- You cannot see the data it holds about you. What you can do
What it is for
This AI system helps Canadian business owners find relevant federal, provincial, and territorial programs and services by matching their business profile to personalized recommendations. It uses large language models to navigate thousands of government resources and surface the most relevant options. The system does not process personal information — it works with unclassified, publicly available datasets about government services. AI use is disclosed to users of the Canada Business App.
What it collects and what happens to it
Data taken in
- Curated, unclassified datasets covering government programs related to financing, innovation, licensing, permits, and government marketing initiatives. No personal information is included.
- Business profile information provided by the user, such as sector, stage of business, or areas of interest, used to generate personalized service recommendations. The register states no personal information is collected.
Processing
- Large language models (LLMs) are used to match business profiles to relevant government programs and services, enabling personalised recommendations across thousands of resources.
- The system ranks and recommends relevant government programs from a curated dataset, personalising the results based on the business profile provided by the user.
What it does
- Large language models match business profiles to relevant government services and programs by understanding the business context, with users choosing which recommendations to act on.
- The system scores and ranks government programs and services for relevance to the user's business profile, presenting a shortlist without making any binding decisions on behalf of the user.
Outputs
- Personalised list of government programs and services matched to the user's business profile. These are advisory recommendations; the user decides which to pursue. No personal data is embedded in the output.
Run by
- Federal department responsible for deploying and operating the Canada Business App and its AI-powered recommendation feature.
Built by
Not stated by the Helpful Places.
Kept for
- No personal information is collected or retained by this system. The register explicitly states: 'Involves personal information: N'.
- Duration: No personal data collected
Shared with
- The system does not collect or store personal information. As a result, there is no personal data held about individual users that could be accessed or retrieved.
Stored
Not stated by the Helpful Places.
How to read the colours
Can it identify you?
- Anonymized data
- Data about people with the link to who is broken. Stripped of identifiers, blurred, aggregated, or noised so this system can’t reasonably tie a record back to an individual.
- Pseudonymous data
- Each person’s data is tied to a token (hash, ID, template) that lets this system recognise the same person across events, but the token itself doesn’t reveal a name. Reidentification is possible with extra information.
- Identifiable data
- The data either contains a direct identifier (name, address, account name, recognisable face or voice, plate number) or carries a token this system uses to look up legal identity during processing.
Who completes the loop?
- Human decides
- This mode suggests; a person decides what to do next. The AI is always advisory — a human is in the loop on every decision. Example: a triage tool ranks cases for a clinician who chooses which to see first.
- Human executes
- This mode decides; a person carries out the result. Example: an optimizer plans the day’s trash-collection routes, and drivers run them.
- Autonomous
- This mode decides and acts on its own. No person reviews each decision or carries out the resulting action.
Definitions from the DTPR standard. Amber is about your data, violet about who decides. The fuller the shape and the deeper the colour, the more identifying the data or the less a person is involved.
- AI registerGovernment of Canada Algorithmic Impact Assessment Register — Canada Business App (2526-ISED-ISDE-024)Innovation, Science and Economic Development Canada. AI Register ID: 2526-ISED-ISDE-024.
- AI registerCanada Business App AI Register Entry
- Register entryPublished by the Helpful Places. Reference 4faff97e. This disclosure was drafted with AI assistance.Schema: ai@2026-05-06-beta
What you can do
Ask about this system
Questions go to the Helpful Places, not the vendor.
Your rights
- Right to Be Informed of AI UseUsers of the Canada Business App are informed that AI is used to generate service recommendations. The register confirms: 'AI use disclosed to users: Y'.
- Right to Algorithmic TransparencyThe system's use of large language models to match business profiles to government services is disclosed publicly through the Government of Canada's AI Register, available at open.canada.ca.
Risks and safeguards
- Financial & business harmRisk that incorrect or incomplete recommendations cause a business to miss relevant funding or licensing programs, or to pursue unsuitable ones. Mitigated by the advisory (non-binding) nature of recommendations, which a user verifies independently before acting. The system is in development; testing and evaluation are implied before full deployment.
- Societal & cultural harmRisk that LLM-based recommendations disadvantage certain types of businesses, sectors, or regions by systematically surfacing some programs over others. Mitigated by using curated, unclassified datasets managed by the Government of Canada and by the advisory-only nature of recommendations. Ongoing monitoring is expected as the system matures.