AI-Powered Grants and Contributions Financial Forecasting

Planning & Decision-making · Financial Services

What it collects

Operational data

Anonymized data

Grants and contributions financial data — historical disbursement records and program-level financial information used to train and run the forecasting model. No personal information is involved.

Grants and Contributions Forecasting — Government of Canada AI Register

Run by: Housing, Infrastructure and Communities Canada (HICC)
Where: No fixed location
Kept: Not stated by the Helpful Places.
Shared with: Accountable organization

What it is for

Planning & Decision-making

Financial Services

This AI tool helps Housing, Infrastructure and Communities Canada forecast spending on grants and contributions programs. It is used internally by Government of Canada employees to improve financial planning and data accuracy. The system does not process personal information and its use of AI is disclosed to users.

What it collects and what happens to it

Data taken in

Operational data

Anonymized data

Grants and contributions financial data — historical disbursement records and program-level financial information used to train and run the forecasting model. No personal information is involved.

Grants and Contributions Forecasting — Government of Canada AI Register

Processing

Classification & Prediction

Uses time-series forecasting and statistical or machine-learning models to predict future grants and contributions spending based on historical financial data.

Grants and Contributions Forecasting — Government of Canada AI Register

What it does

Deciding (Analytical AI)

Human decides

Produces financial forecasts and predictions from historical grants and contributions data. Government of Canada employees review and act on the outputs.

Grants and Contributions Forecasting — Government of Canada AI Register

Outputs

A recommendation or prediction

Anonymized data

Financial forecasts and predicted spending figures for grants and contributions programs, provided to GC employees as advisory outputs to support budgeting and financial decision-making. No personal information is produced.

Grants and Contributions Forecasting — Government of Canada AI Register

Run by

Housing, Infrastructure and Communities Canada (HICC)

The federal department responsible for deploying and operating this AI forecasting tool for its Grants and Contributions programs.

Grants and Contributions Forecasting — Government of Canada AI Register

Built by

Government of Canada

The Government of Canada developed this AI system in-house.

Grants and Contributions Forecasting — Government of Canada AI Register

Kept for

Not stated by the Helpful Places.

Shared with

Available to the accountable organization

Forecast outputs are available to GC employees within Housing, Infrastructure and Communities Canada for internal financial planning purposes.

Grants and Contributions Forecasting — Government of Canada AI Register

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 TransparencyThe use of AI in this system is disclosed to its users (GC employees). For further information about how this AI system works, contact Housing, Infrastructure and Communities Canada.

Risks and safeguards

Financial & business harmInaccurate forecasts could lead to poor budgeting decisions affecting grants and contributions program delivery.Safeguard: The system is described as focusing on data accuracy, and outputs are advisory — GC employees review forecasts before financial decisions are made, ensuring human oversight remains in the loop.