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Initiative #247

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NECTR - Power Apps Solution - AI Copilot integration

Listed in the registry Development Original language : English

About the initiative

Description of the initiative

We would like to integrate copilot into power apps to be able to help users find and identify data in the database. This will save time for users looking to identify and extract data from the system. We currently have almost 500 users, so enabling AI for this would save a lot of time for these employees.

Problem statement

Our system already exists as a department-wide tracker for engagement and consultation activities. The AI component will simply be to activate copilot within power apps to facilitate data extraction for simple requests. Currently users have to create a view, or find the correct tables to review or find data in the system. Using the power apps copilot integration, we can allow users to ask simple questions and be able to be directed to the right view or data without having to prepare a table. For example, the user could ask, how many engagements have I worked on this month? Currently a user could make a table to see this data, but copilot would allow a user to simply type their request.

AI family

Interaction and Engagement

AI capability
Generative Productivity & Office Automation

Bucket rationale

The core purpose of this initiative is to enable natural-language interaction between users and the NECTR system via Copilot within Power Apps. The AI is not performing advanced analytics or generating new knowledge artifacts. Instead, it is: • Allowing users to ask questions in plain language • Translating those questions into structured database queries • Guiding users to the correct views or data • Improving usability and accessibility of an existing system This aligns directly with the definition of Interaction and Engagement: AI designed to engage with users, support communication, and enhance service delivery. Focus: dialogue, personalization, user-centric design. The AI’s primary role is conversational interface and workflow facilitation—not predictive modeling (Decision Support), not perception of unstructured inputs (Perception), and not enterprise AI platform enablement (Infrastructure). Even though it improves efficiency, the intelligence is embedded in the interaction layer, making this fundamentally a user-experience and engagement enhancement initiative.

Lifecycle

  1. Ideation

    Stage status : Completed

    February 2, 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 Feb Mar Apr May Jun Jul Aug Sep
  1. Ideation

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Contacts

Requester
Pennie, Colin
Subject matter expert
Pennie, Colin
Approver (DG)
Quinn, Caroline

Data and tools

Sector
Strategic Policy
Region
Not region specific
Could this initiative be shared with the Treasury Board Secretariat?
Yes
Submitted on
February 2, 2026

Government priorities and declaration

Prime Minister's mandate commitment
Spending less on government operations so that Canadians can invest more in the people and businesses that will build the strongest economy in the G7.