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Government of Canada – DTPR AI Register

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AI Assistant for Government IT Support

Inform

What it collects

About behaviour
Anonymized data
  • User queries and IT support requests submitted through the chat interface — text typed by GC employees seeking technical help. The register states no personal information is involved.
Operational data
Anonymized data
  • IT knowledge base content from the AAFC SharePoint site, used to ground chatbot responses in departmental IT policies and procedures.
Run by
Agriculture and Agri-Food Canada (AAFC)
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

Inform

Milo is an internal AI-powered chatbot used by Agriculture and Agri-Food Canada employees to get IT help and submit IT support tickets. It uses generative AI to answer common IT questions in a conversational way and connects with the department's IT ticketing system. Users are informed that they are interacting with an AI system. The system has been retired.

What it collects and what happens to it

Data taken in

About behaviour
Anonymized data
  • User queries and IT support requests submitted through the chat interface — text typed by GC employees seeking technical help. The register states no personal information is involved.
Operational data
Anonymized data
  • IT knowledge base content from the AAFC SharePoint site, used to ground chatbot responses in departmental IT policies and procedures.

Processing

Language Models
  • A large language model (LLM) powers Milo's generative AI capabilities, enabling natural language understanding and conversational response generation for IT support queries.
Search & Retrieval
  • Milo retrieves relevant IT documentation and knowledge articles from the AAFC SharePoint site to inform its answers to user queries.

What it does

Creating (Generative AI)
Human decides
  • Milo uses generative AI to produce conversational responses to IT support questions. Employees review and act on the responses themselves; the system does not make autonomous decisions on their behalf.
Understanding (Semantic AI)
Human decides
  • Milo understands user intent and retrieves relevant information from the AAFC SharePoint site to ground its responses in departmental IT knowledge.
Acting (Agentic AI)
Human decides
  • Milo interoperates with the IT ticketing system to streamline IT requests, acting on behalf of users to initiate or route tickets. A human employee reviews and confirms actions taken.

Outputs

Generated content
Anonymized data
  • Conversational text responses to IT support questions, generated by the AI and presented to GC employees through the chat interface. No personal information is included in outputs.
Operational data
Anonymized data
  • IT support tickets created or routed through the ticketing system as a result of Milo interactions, containing the technical request details provided by the employee.

Run by

Agriculture and Agri-Food Canada (AAFC)
  • Agriculture and Agri-Food Canada (AAFC) is the federal department that deployed and operated the Milo chatbot internally for its Government of Canada employees.

Government of Canada AI Register — Milo

Built by

Government of Canada
  • The system was developed by the Government of Canada, meaning it was built in-house rather than procured from a private vendor.

Government of Canada AI Register — Milo

Kept for

Not stated by the Helpful Places.

Shared with

Available to the accountable organization
  • IT ticket data and chat logs are accessible to Agriculture and Agri-Food Canada's IT management for service delivery and oversight purposes. No personal information is processed.
Not available to me
  • This is an internal enterprise system for GC employees. Citizens and members of the public have no access to this system or its data.

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 UseUsers are informed that they are interacting with an AI system. The register confirms AI use is disclosed to users.
  • Right to Algorithmic TransparencyThe Government of Canada publishes information about this AI system through the public AI register, enabling employees and the public to understand that generative AI is used for IT support assistance.

Risks and safeguards

  • Psychological harmEmployees may rely on AI-generated IT advice that is inaccurate or incomplete, leading to frustration or failed IT resolutions.Safeguard: The system is advisory; employees retain the ability to escalate to human IT staff. AI use is disclosed so users can calibrate their trust. The chatbot is restricted to internal IT support scope.
  • Societal & cultural harmGenerative AI may produce plausible-sounding but incorrect IT guidance, eroding employee trust in internal IT services over time.Safeguard: The system was retired, and human IT staff remain available. Transparency through the public AI register enables institutional accountability.