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AI Assistant for Architecture Document Research and Drafting

Research & Development · Inform

What it collects

Operational data
Anonymized data
  • Internal Architecture Documents from the Canada Revenue Agency. These are organizational records describing IT architecture, not personal information about individuals.
Run by
Canada Revenue Agency (CRA)
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

Research & DevelopmentInform

This system is a proof-of-concept AI tool used by Canada Revenue Agency employees to help summarize internal architecture documents, retrieve relevant information, and generate draft content. It is currently in development and has not yet been deployed for production use. Only Government of Canada employees working in IT architecture roles are expected to use it, and it does not process personal information about members of the public.

What it collects and what happens to it

Data taken in

Operational data
Anonymized data
  • Internal Architecture Documents from the Canada Revenue Agency. These are organizational records describing IT architecture, not personal information about individuals.

Processing

Language Models
  • A language model is used to perform content summarization, information retrieval, and content generation over internal architecture documents.
Search & Retrieval
  • Retrieval from internal architecture documents to surface relevant passages or records in response to employee queries.

What it does

Understanding (Semantic AI)
Human decides
  • The system retrieves and summarizes content from internal architecture documents in response to employee queries. A human employee reviews and decides how to use the retrieved information.
Creating (Generative AI)
Human decides
  • The system generates draft architectural content. Outputs are advisory and require human review before any use in official documents or decisions.

Outputs

Generated content
Anonymized data
  • Summaries, retrieved passages, and generated draft architectural content produced for GC employee review. Outputs do not contain personal information about members of the public.
A recommendation or prediction
Anonymized data
  • The system surfaces relevant architectural information and suggested content in an advisory capacity; all outputs are reviewed and acted upon by human employees.

Run by

Canada Revenue Agency (CRA)
  • The Canada Revenue Agency (CRA) is the federal department accountable for deploying and evaluating this proof-of-concept AI system for its IT architecture practices.

Government of Canada AI Register — 2526-CRA-ARC-007

Built by

Government of Canada
  • The Government of Canada developed this system internally. No third-party vendor is identified in the register entry.

Government of Canada AI Register — 2526-CRA-ARC-007

Kept for

Not stated by the Helpful Places.

Shared with

Available to the accountable organization
  • Outputs and system logs are available to the Canada Revenue Agency as the accountable deploying organization. The system is for internal GC employee use only.
Not available to me
  • Members of the public do not have access to this system or its outputs. The system is restricted to GC employees in IT architecture roles.

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.

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 UseGC employees using this system are informed through the AI register that an AI system is in use for architectural document assistance. As this is a proof-of-concept in development, formal notice procedures for end-users may not yet be fully established.
  • Right to Algorithmic TransparencyThe system is listed on the Government of Canada's AI Register, providing public transparency about its purpose and capabilities. Employees can consult the register entry for information about how the system works.

Risks and safeguards

No risks or safeguards have been published for this system yet.