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Proof of concept

Initiative #256

← AI initiative registry

AI-Enabled UX Design and Content Workflows

Listed in the registry Development Original language : English Unclassified

Value score 15 %

Weighted average of impact area coverage (40%) and strategic alignment (60%).

Feasibility score 13 %

Share of feasibility criteria checked in the form.

About the initiative

Description of the initiative

AI-enabled capabilities to help UX and content designers deliver digital work faster and more consistently. This includes supporting early ideas, rapid iteration, drafting and revising content, creating and comparing design options (task flows, wireframes, mockups, interactions, prototypes), and producing documentation needed for handoffs and approvals while still meeting GC standards. We also want employees to build modern, transferable skills.

Problem statement

Today, producing an accessible digital experience takes a lot of manual work: writing and rewriting plain-language content, designing user interfaces (UI), checking content and designs against standards, creating many versions, mapping page structure and navigation, and organizing design files so others can find and reuse them. This slows delivery and can lead to inconsistent results. We need safe AI support to reduce repetitive work while keeping human review and accountability.

Expected outcome if AI is selected

Success is a 20–30% reduction in time spent on repetitive iteration, drafting, variant creation, file organization, and documentation, with faster turnaround for design deliverables. Quality improves through fewer accessibility or content issues found in review. We also produce clear guidance and training so staff can use approved AI safely and build modern, market-relevant skills.

Risks

Risks include inconsistent or unapproved use of AI across teams, which could reduce reuse and create uneven quality. There is also a risk that outputs may be inaccurate or not meet accessibility/content standards if they are not reviewed. If any third-party service is involved, risks include unclear data handling (such as retention or reuse). These risks can be reduced through a phased approach (starting with non-sensitive information), clear rules and training, approved use cases, and required human review.

Strategic alignment

  • Improved scientific advice for fisheries

Areas of impact

  • Time

Feasibility

  • Data is available and usable

Lifecycle

  1. Ideation

    Stage status : Completed

    May 7, 2026

  2. Assessment

    Stage status : Completed

  3. Approved

    Stage status : Completed

  4. Development

    Stage status : In progress

  5. Pilot

    Stage status : Upcoming

  6. Production

    Stage status : Upcoming

  7. Archived

    Stage status : Upcoming

Schedule for this initiative

  • Completed
  • In progress
  • Planned
  • Not applicable
  • Today
2026 May Jun Jul Aug Sep Oct
  1. Ideation

A similar need?

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Contacts

Requester
Matheson-Fitchett, Ariel
Subject matter expert
Matheson-Fitchett, Ariel
Technical lead
Matheson-Fitchett, Ariel
Approver (DG)
Papadopoulos, Anatole

Data and tools

Sector
Chief Digital Officer
Region
Not region specific
Data classification
Unclassified
Could this initiative be shared with the Treasury Board Secretariat?
Yes
Submitted on
May 7, 2026

Tools in use

  • Coding tools (e.g. Anaconda, R Studio, VSCode)