Informed On-Site Decisions

AI-powered decision-support tools empower newer workers to make informed, data-driven decisions, reducing reliance on retiring experts. This reduces errors, ensures consistent project outcomes, and preserves institutional knowledge.

The Problem

The construction industry faces a critical knowledge gap as experienced professionals retire, taking valuable expertise with them. Newer workers often struggle to confidently make decisions on complex projects, leading to inefficiencies, higher risks, and costly errors. Without adequate support, this knowledge vacuum threatens project outcomes and increases operational costs—particularly through rework caused by inexperience, which can add between 2 - 20% to the final cost of a project.

The AI Opportunity

AI decision-support tools offer real-time, data-driven insights to guide workers in making effective decisions. Leveraging historical data, project analytics, and predictive models, these tools mitigate the impact of retiring experts, reduce reliance on trial-and-error approaches, and ensure consistent project quality across all levels of expertise.

Why It Matters

Retiring workers creates a skills vacuum that can increase costs, delay projects, and affect construction quality. Supporting new talent with AI tools ensures they can make informed decisions, reducing errors and building confidence. This benefits projects, teams, and the industry by maintaining high standards even during workforce transitions. Maintaining high-quality construction and delivering projects within established timelines strengthens client satisfaction and a construction company’s long-term competitive position.

Benefits & Impact

Preserve Knowledge

Capture and share experienced and retiring experts' institutional knowledge to ensure consistent project outcomes.

Empower Workers

Enable new workers to make informed decisions with confidence, reducing reliance on trial-and-error methods.

Increase Efficiency

Minimize errors and rework, reducing project delays and operational costs.

AI Methods & Models

Purpose: Provide actionable recommendations during project execution.
Outcome: Reduces errors and ensures project quality.
Tools/Models: Multimodal-data fusion techniques supporting AI models such as Decision trees (prioritizing tasks), expert systems (context-specific recommendations), and recommendation algorithms (dynamic task suggestions).

Build Your AI Solution with Amii

As one of Canada’s three national AI institutes, Amii brings decades of expertise, advancing AI innovation and delivering industry solutions to your team. Whether you’re just starting to explore the possibilities of AI or are ready to develop advanced AI models, Amii is here to help.

Training

A successful AI solution requires both technical know-how and a strong understanding of your business. Our training aligns technical and non-technical teams, creating a shared language and fostering the collaboration needed for successful AI implementation.

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Strategy

We collaborate with your team to brainstorm, evaluate, and prioritize AI use cases aligned with your business goals, building your internal capacity along the way. Our experts then validate the top idea, positioning your team for a smooth transition into development.

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Development

Our unique approach places a full-time Machine Learning Resident within your team, supervised by Amii experts, to help build a custom AI solution. After the project, you have the option to hire the resident, ensuring continuity to deployment and expanding your internal AI capacity for future AI innovation.

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