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AI Assistants for Document Analysis and Tagging

Inform · Employment & Work

What it collects

Operational data
Anonymized data
  • Large volumes of internal documentation, publications, and speeches produced by or relevant to the Financial Consumer Agency of Canada, used as the primary input for text analysis and consolidation tasks.
Run by
Financial Consumer Agency of Canada (FCAC)
Where
No fixed location
Kept
Not stated by the Helpful Places.
Shared with
Accountable organization

What it is for

This system is a set of AI agents built in-house using Microsoft Copilot Studio for use by Financial Consumer Agency of Canada employees only. The agents help staff analyse large volumes of text, consolidate documentation, and automatically tag publications and speeches with metadata. These tools are not used to make decisions about members of the public, and are currently still in development.

What it collects and what happens to it

Data taken in

Operational data
Anonymized data
  • Large volumes of internal documentation, publications, and speeches produced by or relevant to the Financial Consumer Agency of Canada, used as the primary input for text analysis and consolidation tasks.

Processing

Language Models
  • The agents are built on Microsoft Copilot Studio, which uses large language model technology to perform text analysis, summarisation, and metadata extraction on employee-submitted documents.

What it does

Understanding (Semantic AI)
Human decides
  • The agents perform text analysis, extracting meaning and relevant metadata from documents, publications, and speeches to support employees in their tasks.
Deciding (Analytical AI)
Human decides
  • The agents classify and tag documents with metadata, replacing manual metadata tagging on publications and speeches with automated categorisation reviewed by employees.

Outputs

Operational data
Anonymized data
  • Consolidated document summaries, structured text analyses, and automatically assigned metadata tags on publications and speeches, intended for use by FCAC employees.

Run by

Financial Consumer Agency of Canada (FCAC)
  • Federal government agency responsible for protecting the rights and interests of financial consumers in Canada. The Agency develops and operates these AI agents in-house for internal employee use.

Government of Canada AI Register — 2526-FCAC-ACFC-004

Built by

Not stated by the Helpful Places.

Kept for

Not stated by the Helpful Places.

Shared with

Available to the accountable organization
  • Outputs are available to Financial Consumer Agency of Canada employees who use the agents for their internal work. Access is restricted to GC employees within the Agency.

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 Algorithmic TransparencyAs an internal tool used only by government employees, affected employees may request information about how these AI agents work through their management chain or the Agency's designated AI governance contacts. The system is registered in the Government of Canada's public AI register.

Risks and safeguards

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