Case Study

PCL Construction

Using AutoSpecs provides an actionable data-set that illustrates the full contract requirement scope from day one

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When it came to reviewing specifications for their projects, PCL’s project teams were spending many hours searching for the planning and quality information they needed, such as submittal requirements for shop drawings, product data, samples, mockups, and QA/QC processes.

Reviewing the specification documents used to take significant effort. Identifying every requirement and then copying and pasting it into a spreadsheet carried a potential risk, particularly on very large specification documents. Submittal items might be left out, arrive later than they should, or testing requirements could be missed.

The consequences of late submittals range from delayed work, where workers must put in extra effort to get back on schedule, to significant delays that incur monetary loss and affect profits.

Evaluating Pype AutoSpecs functionality led a group of PCL employees to immediately realize the potential benefits of the product. It could review their specifications and produce the results they were looking for with a high level of accuracy.

Since PCL operates mainly in the US and Canada, Pype decided to create a Canadian version of their Artificial Intelligence (AI) rules so that PCL could use AutoSpecs for both countries.

According to Larry Andreychuk, PCL’s Quality Management Business Systems Analyst, “We did a demo and it looked promising. We started using it on a few test projects and we were very impressed with the results.”

“Enabling productivity gains for PCL employees through the use of smart digital technologies like Pype allows our people to better focus on our client’s pressing needs.”

Mark Bryant
Chief Information Officer, PCL Construction

Case Study by Pype

Pype provides software solutions to the construction industry to automate manual processes using AI.

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