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AI-Assisted Revenue Forecasting for Government Services

Financial Services · Planning & Decision-making

What it collects

Operational data
Anonymized data
  • Financial data from Shared Services Canada's existing revenue forecasting process, including historical billing, service usage, and funding flows from partner departments and clients.

Government of Canada AI Register — Vote Netted Revenue

Run by
Shared Services Canada (SSC)
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

Financial ServicesPlanning & Decision-making

This system helps Shared Services Canada forecast the revenue it will receive from partner departments for the IT services it delivers. It is still under development and is intended to be used only by Government of Canada employees involved in financial planning. The system 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
  • Financial data from Shared Services Canada's existing revenue forecasting process, including historical billing, service usage, and funding flows from partner departments and clients.

Government of Canada AI Register — Vote Netted Revenue

Processing

Classification & Prediction
  • Uses forecasting and prediction techniques on financial data to estimate future Vote Netted Revenue, optimizing Shared Services Canada's billing and revenue planning process.

Government of Canada AI Register — Vote Netted Revenue

What it does

Deciding (Analytical AI)
Human decides
  • Produces revenue forecasts and predictions from financial data; human financial planners at Shared Services Canada use these forecasts to inform budget decisions.

Government of Canada AI Register — Vote Netted Revenue

Outputs

A recommendation or prediction
Anonymized data
  • Revenue forecasts and predictions that GC employees use to inform financial planning decisions; outputs are advisory and not about any individual member of the public.

Government of Canada AI Register — Vote Netted Revenue

Run by

Shared Services Canada (SSC)
  • Shared Services Canada is the federal department accountable for developing and operating this revenue forecasting AI system for use in internal financial planning.

Government of Canada AI Register — Vote Netted Revenue

Built by

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

Government of Canada AI Register — Vote Netted Revenue

Kept for

Not stated by the Helpful Places.

Shared with

Not available to me
  • This system processes only internal government financial data and is not accessible to members of the public. Its outputs are not about individual citizens.

Government of Canada AI Register — Vote Netted Revenue

Available to the accountable organization
  • Forecast outputs and financial data are accessible to Shared Services Canada employees involved in the VNR financial planning process.

Government of Canada AI Register — Vote Netted Revenue

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 TransparencyThis system operates on internal government financial data and does not affect members of the public directly. The register notes that AI use is not disclosed to users. GC employees using the system's outputs can refer to the Government of Canada's AI register for general information about how this system works.

Risks and safeguards

  • Financial & business harmInaccurate revenue forecasts could lead to misallocation of SSC's financial resources or incorrect billing of partner departments.Safeguard: The system is still in development; human financial planners review outputs before decisions are made, ensuring a human-in-the-loop check on all forecast-driven decisions.