AI registry intake form

This form is a guide to help you articulate the potential of using data, artificial intelligence or machine learning. It focuses on the value proposition, scalability and sustainability of your idea — not on its technical implementation. Complete answers help management and data scientists assess the feasibility of a solution.

Only six questions are required. Answer to the best of your knowledge; an incomplete record is better than no record at all.

Contacts and alignment

Primary contact email

Email of the sector contact for this initiative, who would be the main point of contact.

Sector

Select the sector this initiative belongs to.

Region

Select the region, if applicable, this initiative belongs to.

Sector contact email

Email of the sector contact for this project.

Subject matter expert (SME) email

Email of the contact who is the subject matter expert.

Technical lead email

Email of the contact who is the technical lead.

Approver (DG) email

For any request requiring resources, or any approval to share this initiative outside the department, identify the most accountable director general.

The initiative

Title of your AI initiative

A short, descriptive title: the initiative will likely be referred to by this name.

Description of the initiative

A brief overview of the programs, services, operations or business processes that could be affected.

/ 500

Problem statement

What business problem or opportunity are you trying to address? Focus on challenges affecting productivity, efficiency, costs or stakeholders.

/ 500

Program

The program this initiative falls under. This matters for prioritization: without a program, the initiative may be considered lower priority.

Current status

Where does this project stand today?

Related research project

Is this initiative linked to a scientific research project? If so, give its name and a very brief description.

/ 1000

Value and scope

Could this initiative be shared with the Treasury Board Secretariat?

If you believe this initiative could one day appear in the Government of Canada public AI registry.

Yes No

Primary users

Who would use the solution, directly or indirectly?

Departmental employees Managers and executives Scientists and researchers Fishery officers General public Industry and licence holders Indigenous partners Other federal departments Provincial and territorial partners

Areas of impact

Estimate how this could affect time, costs, revenue or client satisfaction.

Workforce Time Process automation Resource utilization Other

Please specify

Strategic alignment

Which departmental priorities does this initiative contribute to?

Sustainable management of Canadian fisheries Sustainable aquaculture Safe access to harbours Protection against illegal exploitation Improved scientific advice for fisheries Outcomes for Indigenous peoples in fisheries and aquaculture Protection of oceans and ecosystems Science for ecosystem decision-making Outcomes for Indigenous peoples in ecosystem protection

Feasibility

Check the statements that are true today. Each checked box raises the initiative's feasibility score.

Data is available and usable Required AI methods are technically mature Internal or external expertise can support this initiative Budget or funding is feasible Tools, infrastructure or platforms are accessible Legal or policy issues are manageable Stakeholder or partner support is realistic Implementation can begin within 6 to 12 months

Expected outcome if AI is selected

What would success look like? Try to make it measurable: faster processes, better decisions, savings.

/ 500

Data and tools

Data source

Where is the data currently stored or accessed?

SharePoint Local hard drive Oracle database AWS Azure storage GitHub DevOps Other

Please specify

Data type

What types of data are stored? Are there existing tools, systems or documents associated with it?

Spreadsheets Customer relationship management systems Emails Customer support platforms Word documents PDF documents Shapefiles Other

Please specify

Data classification

Indicate the government classification. If datasets have multiple levels, choose the highest.

Sensitivity statement

Has the data used been formally assessed for its sensitivity level?

Timing, risks and review

Is this project time-sensitive?

Is there a deadline constraining implementation?

Risks

Describe any potential risks: data, acceptability, dependencies, capacity.

/ 1000

Review

Review your answers before submitting. You can go back to any step.

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