A Proof-of-Value Case Study on AI Adoption and Its Measurable Impact in Construction

by Shawn Gray, , Founder of ConstructIQ Advisory

While most firms are still debating AI’s role in construction or applying it in isolated ways, one of Canada’s fastest-growing mid-sized general contractors is taking meaningful action. This structured Proof-of-Value (PoV) project wasn’t just about technology—it was about real adoption, measurable results, and business impact. In just four weeks, AI-powered workflows improved documentation, saved time, and increased project resource capacity, proving that AI can significantly enhance—not disrupt—construction workflows.

Industry data shows that a typical $50 million project faces delays and rework that adds 100-200 days to schedules and $7 million in costs. The main contributors include:

• Thousands of hours lost to meetings and admin work instead of project oversight.
• Critical project information not effectively communicated to stakeholders.
• Insufficient time to produce high-quality documentation.

Traditionally, mitigating these challenges required over $1 million in additional field resources. However, workforce shortages and rising costs have made this approach unsustainable.

Recognizing this, one of Canada’s top innovative mid-sized general contractors partnered Flowlly, a local emerging Ai-agent-as-a-Service (AaaS) provider, to test a key hypothesis:

“Limited project resources have little time for risk mitigation, planning, coordination, and documentation. Integrating AI into administrative tasks can expand capacity, improve effectiveness, and close documentation gaps critical for risk management. Even incremental improvements can drive significant benefits at a fraction of traditional mitigation costs.”

Through an initial opportunity mapping session with field operations and the technology provider, the team identified key stakeholder constraints and over 20 AI-enabled use cases. They selected three high-impact, easy-to-implement workflows for a four-week sprint to minimize disruption:

• Automated Meeting Minutes – AI-generated summaries to improve documentation and accelerate AI’s learning of critical project context
• AI-Powered Daily Logs – Voice-to-text and structured reporting for better field data capture.
• Cross-Platform Integration – Reducing data silos, providing key information to the right people at the right time.

Unlike traditional Proof-of-Concept (PoC) trials, this PoV focused on practical application to determine if stakeholders found real value in AI-enabled workflows, measured in terms of time saved, documentation quality, and risk reduction. 

• Project Coordinators spent less time recording discussions and more time retrieving relevant project documents, improving meeting effectiveness.
• AI-assisted reporting enabled real-time data capture from field supervisors and trade craft, making logs more contextual and complete with no extra effort.
• The Chief Safety Officer saved over two hours per day by eliminating manual data collection.
• AI-integrated schedules, meetings, and reports improved project insights, allowing stakeholders to focus on high-priority tasks.
• AI adoption was immediate, with stakeholders recognizing its clear impact on their daily workflows.

• Increased staff capacity enables firms to allocate fewer resources across more projects, generating significant project savings and enabling growth with less cost.
• More contextual records enable improved change capture and dispute resolution, significantly affecting both top-line revenue and bottom-line costs.
• AI-assisted reporting empowers less experienced staff to perform at a higher level, reducing training time and overhead costs.

• Not all information requires documentation, but critical risks and client concerns must be consistently recorded.
• Time savings should be redirected toward high-value tasks such as supervision, coordination, and documentation.
• Stakeholders expect AI to integrate seamlessly into existing project platforms to avoid duplication.

This PoV demonstrated that AI can significantly save time, enhance project documentation, and mitigate risks for field operations teams. The general contractor saw immediate benefits, long-term multipliers, and co-development advantages that would not be possible through traditional technology procurement methods.

Results require action. Move beyond AI discussions and take strategic steps with less risk, time, and cost by engaging with ConstructIQ:

1. Schedule a discovery session – Learn how AI-powered solutions like Flowlly, and others, can fit into your workflows for real business impact.
2. Join the Prairies Proptech AI Adoption Proof-of-Value Initiative – A structured, de-risked approach to AI adoption with significant cost-saving opportunities. 2025 enrollment is now open and limited to 30 firms.
3. Download the full PoV report – Explore the 20+ high-value AI use cases and uncover actionable opportunities your stakeholders will adopt.

Take action today at: www.constructiqadvisory.ca 

While most talk the talk, we’ve walked the walk on implementing meaningful applications of AI in the construction sector. Founded by Canada’s Top 40 Under 40 in Construction, Shawn Gray, ConstructIQ’s mission is to drive meaningful change by helping firms overcome barriers to technology adoption. Our proven approach enables businesses to achieve results faster, with significantly less risk, time, and cost. Learn more at www.constructiqadvisory.ca

The Prairies Proptech Association is a not-for-profit organization comprised of leaders from technology, construction, real-estate, academia, and government. We are dedicated to accelerating adoption of Canadian prairies-based technology for the built environment through advocacy, collaboration, education, and gap bridging events and initiatives. To learn more or get involved, visit www.prairiesproptech.com

Check out more news, articles and blogs here