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The work

From foundational problems to twelve practical resources.

Eight industry-level gaps. Three working groups. Twelve deliverables. On publication, each is intended to transition to an established national custodian organization.

The challenge

Eight problems no single firm, school, or regulator can solve alone.

These were excavated through deliberation with industry stakeholders. They are the industry-level gaps the working groups exist to address.

P1

Entry-level competency paradox

AI now handles the formative tasks (takeoffs, junior calculations, redlining) that traditionally built professional judgment.

P2

Mid-career identity disruption

Professionals built careers on execution excellence; AI commoditises the skill. The shift from producer to orchestrator is an identity transition without a roadmap.

P3

Curriculum disconnect

Every program is guessing independently what AI competency means for AECO graduates. Faculty themselves may lack AI experience.

P4

Smaller firm access inequality

Large firms experiment, pilot, and learn. Smaller firms, the majority of AECO, lack digital teams and cannot absorb the risk of getting it wrong.

P5

No shared quality standard

Buyers cannot specify requirements for AI tools and vendors lack benchmarks to build toward. Every firm repeats the same due diligence.

P6

Data governance vacuum

Ownership, portability, interoperability, confidentiality, and vendor lock-in have no shared answers across multi-stakeholder projects.

P7

No framework for agents in regulated work

Existing practice guidance covers practitioners using tools. No framework defines what it takes for an AI agent to be permitted to execute regulated workflows.

P8

Team orchestration unclear

When agents execute portions of workflows, coordination, handoffs, and oversight have no shared models. Operational questions, no shared answers.

The work

Three working groups. Twelve practical resources.

Each working group is board-directed and coordinator-executed. Contributors provide expert input; technical writers synthesize. Deliverables transition into the custody of established national organizations on publication.

Working Group 1

Workforce Readiness & Capability

Define what AECO professionals need to know when AI handles execution tasks, and how they develop the judgment to validate AI outputs at every stage of their careers.

  • 1.1

    Competency Framework for AI-Augmented AECO Practice

    Target: national workforce / skills agency

  • 1.2

    Entry-Level Developmental Pathway Guidance

    Target: workforce agency · polytechnics network

  • 1.3

    Mid-Career Transition Toolkit

    Target: national workforce / skills agency

  • 1.4

    Pilot Training Program Design Guide

    Target: workforce agency · polytechnics network

Working Group 2

Integration & Implementation

Give firms structured criteria to evaluate AI tools, procurement language for the chain of professional services, governance for the data AI ingests and produces, and operational playbooks for human-agent teams.

  • 2.1

    AI Tool Evaluation Framework

    Target: national contractor association · research body

  • 2.2

    AI-Augmented Service Procurement Guide

    Target: contractor association · consulting engineers association

  • 2.3

    Data Governance & Interoperability Framework

    Target: national standards bodies

  • 2.4

    Human-Agent Team Integration Playbook

    Target: research body · national contractor association

  • 2.5

    Pilot Deployment Design Guide

    Target: national contractor association · research body

Working Group 3

Standards & Policy

Define what AI tools and agents must demonstrate to be used in regulated AECO work; clarify the accountability of practitioners who use them; and design a pilot certification process that works across Canada's twelve engineering regulators and separate architecture, QS, and trades bodies.

  • 3.1

    AI Tool & Agent Certification Framework for Regulated AECO Work

    Target: national standards bodies

  • 3.2

    Professional Practice Guidelines for AI-Augmented Work

    Target: national professional bodies (engineering, architecture, QS, building)

  • 3.3

    Pilot Certification Process Design Guide

    Target: national standards bodies

Canadian AI · for ConstructionConvened by AEC Stack

A pan-Canadian initiative producing practical resources for responsible AI adoption across architecture, engineering, construction, and operations.

Target custodian categories

On publication, each deliverable is intended to transition to an established national organization for long-term maintenance. Custodians are confirmed by the Board; the categories below are the targets we are working toward.

  • National standards bodies
  • National workforce / skills agencies
  • National contractor associations
  • Consulting engineers associations
  • Federal research & digitalization bodies
  • Professional bodies (engineering, architecture, QS, building)
  • Polytechnics & college networks

© 2026 Canadian AI for Construction. All deliverables released as open resources.

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