AI Assistant for Government Employee Productivity and Drafting
Employment & Work
What it collects that can identify you
- Users may upload documents or data classified up to Protected B, which may include sensitive government information. The register indicates personal information is not expected to be involved, but the platform supports Protected B information which can include sensitive content.
Also collects operational data, which is anonymized data.
- Run by
- Innovation, Science and Economic Development Canada (ISED)
- Where
- No fixed location
- Kept
- Not stated by the Helpful Places.
- Shared with
- Accountable organization
- Your copy
- You cannot see the data it holds about you. What you can do
What it is for
RadiaPRO is an enterprise generative AI platform for employees of Innovation, Science and Economic Development Canada, providing tools for document summarisation, drafting, translation, coding assistance, and data analysis within a Protected B-certified cloud environment. It connects to large language models hosted by Shared Services Canada and can integrate with internal knowledge bases and departmental document systems. The system is intended for government employees only and does not involve personal information. Users are informed they are working with AI tools.
What it collects and what happens to it
Data taken in
- Departmental documents, schedules, knowledge base content, and other government operational records uploaded or referenced by employees during use of the platform.
- Users may upload documents or data classified up to Protected B, which may include sensitive government information. The register indicates personal information is not expected to be involved, but the platform supports Protected B information which can include sensitive content.
Processing
- Provides access to large language models (LLMs) hosted by Shared Services Canada or other secure services, supporting summarisation, drafting, translation, question answering, and code assistance. The platform supports multi-model side-by-side comparisons.
- Retrieval-augmented generation (RAG) pipeline connecting to internal knowledge bases and, in future, systems like SharePoint and GCdocs, to ground LLM responses in departmental documents.
What it does
- Generates new text content — drafted documents, summaries, translations, and code — in response to employee prompts. Employees review and decide whether to use any generated output.
- Users can design automated workflows and interact with agents that can execute multi-step tasks such as retrieving from knowledge bases and chaining operations. Human employees initiate and review agentic workflows.
- Integrates with internal knowledge bases to retrieve and surface relevant information in response to employee queries — including question answering over departmental documents.
Outputs
- Drafted text, summaries, translations, extracted data tables, and generated code produced in response to employee prompts and tasks. Output is reviewed and used at the discretion of the employee.
- Automated workflow outputs, agent task results, and structured data extractions (including tables) produced during departmental operations. Not tied to specific individuals.
Run by
- The federal department deploying and operating RadiaPRO for its employees, responsible for the platform's governance and use within a Protected B-certified cloud environment.
Built by
- The open-source framework vendor whose LibreChat platform forms the primary technical foundation of RadiaPRO, extended with custom integrations by ISED.
Kept for
Not stated by the Helpful Places.
Shared with
- Outputs and interaction data are available to ISED as the deploying department, operating within its Protected B-certified cloud environment.
- The system is restricted to GC employees. Members of the public cannot access the platform or its outputs. No personal information about citizens is processed.
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 — RadiaPRO Generative AI Platform (2526-ISED-ISDE-005)Innovation, Science and Economic Development Canada, AI Register entry 2526-ISED-ISDE-005.
- AI registerGovernment of Canada AI Register — 2526-ISED-ISDE-005
- AI registerGovernment of Canada AI Register — 2526-ISED-ISDE-005
- Register entryPublished by the Helpful Places. Reference 7cbbbf24. 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 UseISED employees are informed that RadiaPRO is an AI platform before use. The register confirms that AI use is disclosed to users. Employees interact with the system knowingly as an AI-assisted tool.
- Right to Algorithmic TransparencyThe platform's inclusion in Canada's public AI Register provides employees and the public with information about its general functioning, purpose, and the types of data it processes. Employees can consult the AI Register entry at the Government of Canada Open Data portal.
Risks and safeguards
- Reputational harmAI-generated content (drafts, summaries, translations) may contain errors or inaccuracies that, if used without review, could result in incorrect government communications or decisions.Safeguard: Employees are expected to review all AI-generated outputs before use; the system is framed as a productivity assistant rather than a decision-maker, and operates in a human-decides autonomy mode.
- Civil liberties harmAs the platform supports Protected B information and may be extended to integrate with departmental systems like SharePoint and GCdocs, there is a risk of mission creep or unauthorized use of sensitive government information.Safeguard: The platform is certified for Protected B and below; access is limited to GC employees; the AI use is disclosed; the platform operates within SSC-hosted secure infrastructure.