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AI-Assisted Financial Risk Monitoring for Government Transactions

Financial Services

What it collects

Operational data
Anonymized data
  • Anonymized financial data downloaded by the GAC client, including expenses, vendor records, contracts, mission expenditures, and payments.
Run by
Global Affairs Canada (GAC)
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 Services

This system used artificial intelligence and machine learning to proactively monitor financial transaction data at Global Affairs Canada, flagging potential risks in expenses, vendor payments, and mission-related spending. It processed anonymized financial data and produced risk signals to help government employees reduce financial risk in mission transactions. The system was a vendor-supplied internal audit tool (MindBridge) customized with department-specific algorithms and has since been retired.

What it collects and what happens to it

Data taken in

Operational data
Anonymized data
  • Anonymized financial data downloaded by the GAC client, including expenses, vendor records, contracts, mission expenditures, and payments.

Processing

Anomaly Detection
  • AI and ML techniques were used to detect unusual patterns or anomalies in financial transaction data, providing proactive risk signals against a learned baseline of normal financial behavior.

What it does

Deciding (Analytical AI)
Human decides
  • The system scored and flagged financial transactions for risk, producing risk signals that GC employees reviewed and acted upon. It did not make autonomous financial decisions.

Outputs

A recommendation or prediction
Anonymized data
  • The system produced risk flags and monitoring alerts on financial transactions, presented as advisory outputs to GC employees rather than binding determinations.

Run by

Global Affairs Canada (GAC)
  • Global Affairs Canada is the federal department that deployed and operated this financial risk monitoring system to oversee mission transaction data.

GC AI Register — 2526-GAC-AMC-003

Built by

MindBridge
  • MindBridge is the technology vendor that supplied the off-the-shelf internal audit tool, which was customized with Global Affairs Canada-specific AI algorithms for financial risk monitoring.

GC AI Register — 2526-GAC-AMC-003

Kept for

Not stated by the Helpful Places.

Shared with

Not available to me
  • This system processed internal government financial data. It was not designed to produce outputs accessible to members of the public; outputs were available only to GC employees within Global Affairs Canada.
Available to the accountable organization
  • Risk monitoring outputs and flagged transactions were available to GC employees at Global Affairs Canada who used them to inform financial oversight decisions.

Stored

Stored on 3rd Party Cloud
  • The system was built on the SAP platform, indicating data processing and storage occurred within enterprise cloud infrastructure. Specific retention policies are not disclosed in the register entry.
  • Duration: Not disclosed
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 was an internal government tool affecting government financial operations, not individual citizens. As the system has been retired, transparency information is available through the Government of Canada's published AI register entry (2526-GAC-AMC-003).

Risks and safeguards

  • Financial & business harmRisk of false positives flagging legitimate transactions, or false negatives missing actual financial risk. The system was designed to reduce financial risk in mission transactions; human GC employees reviewed outputs before any action was taken, providing a human-in-the-loop safeguard.