AI Assistant for Business Requirements Analysis

Employment & Work

What it collects

Operational data

Anonymized data

Functional Requirements Documents (FRDs) for existing CRA benefits programs, used to build a unified repository against which new requirements are compared. No personal information is included.

GC AI Register — Business Requirements Bot

Run by: Canada Revenue Agency (CRA)
Where: No fixed location
Kept: Not stated by the Helpful Places.
Shared with: Accountable organization

What it is for

Employment & Work

This tool helps Canada Revenue Agency staff analyze and manage software business requirements by comparing new requirements against a unified repository, identifying gaps, and eventually generating test cases and other development outputs. It is used internally by Government of Canada employees and does not process personal information. Users are informed when the system is in use.

What it collects and what happens to it

Data taken in

Operational data

Anonymized data

Functional Requirements Documents (FRDs) for existing CRA benefits programs, used to build a unified repository against which new requirements are compared. No personal information is included.

GC AI Register — Business Requirements Bot

Processing

Search & Retrieval

Retrieves and surfaces relevant prior requirements and documentation from a unified repository to assist in comparing and analyzing new business requirements for completeness.

GC AI Register — Business Requirements Bot

What it does

Deciding (Analytical AI)

Human decides

Compares new business requirements against a unified repository to identify missing or incomplete requirements, returning scores or flags for human review by GC employees.

GC AI Register — Business Requirements Bot

Creating (Generative AI)

Human decides

Long-term capability to automatically generate outputs such as test cases, requirements documents, and linkages to previous benefits, reviewed by GC employees before use.

GC AI Register — Business Requirements Bot

Understanding (Semantic AI)

Human decides

Understands and retrieves meaning from a unified repository of system documentation and functional requirements documents (FRDs) to assist developers and subject matter experts with knowledge transfer.

GC AI Register — Business Requirements Bot

Outputs

A recommendation or prediction

Anonymized data

Flags missing or incomplete business requirements and recommends linkages to previous requirements, test cases, or related documents. Outputs are advisory — GC employees make final decisions.

GC AI Register — Business Requirements Bot

Generated content

Anonymized data

Long-term capability to generate test cases, requirements documents, and linkages automatically. All generated content is non-personal operational documentation for internal software development use.

GC AI Register — Business Requirements Bot

Run by

Canada Revenue Agency (CRA)

The Canada Revenue Agency (CRA) is the federal department deploying and operating this system to support internal software development processes.

GC AI Register — Business Requirements Bot

Built by

Open Source

The system is developed using open-source software rather than a commercial vendor. No proprietary third-party supplier is identified in the register.

GC AI Register — Business Requirements Bot

Kept for

Not stated by the Helpful Places.

Shared with

Available to the accountable organization

Outputs — including flagged requirements gaps, recommendations, and generated documents — are available only to CRA internal staff (GC employees). The system does not expose data to the public or third parties.

GC AI Register — Business Requirements Bot

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 UseGovernment of Canada employees using this tool are informed that AI is in use. The register confirms AI use is disclosed to users.
Right to Algorithmic TransparencyThe system is listed on the Government of Canada's public AI Register, providing general transparency about its purpose, capabilities, and data sources to GC employees and the public.

Risks and safeguards

Societal & cultural harmAI-generated requirements or test cases may encode assumptions or biases from historical FRDs, propagating flawed designs into future systems.Safeguard: The system is in development and outputs are advisory only; GC employees review all generated content before use, and the register confirms AI use is disclosed.