Case Study

HENSEL PHELPS streamlines document review with CONXAI's DocNostic

Read how a top U.S. general contractor is automating data extraction and comparison to minimize errors and standardize scope validation across projects

CUSTOMER

HENSEL PHELPS

OVERVIEW

Hensel Phelps is a top 15 U.S. general contractor, generating approximately $7.1 billion in annual revenue. Founded in 1937 and 100% employee-owned, the company is headquartered in Greeley, Colorado, with a nationwide team of 4,700 and an average 13-year employee tenure. Known for its innovation across the plan-build-manage lifecycle, Hensel Phelps delivers projects in aviation, data center and healthcare, offering full services from real estate development to facility management.

HEADQUARTERS

USA

The Challenge

Project teams are tasked with sifting through lengthy PDF documents to extract key details like finishes, manufacturers and model types. This manual process is inefficient, error-prone and slows down the ability to compare extracted data with current contract documents to identify misalignments or conflicts. There is a growing need for an AI-driven solution that can extract and structure information faster and more accurately.

The Solution and Why CONXAI?

Hensel Phelps selected CONXAI because it offers an AI solution tailored for the construction industry, that goes beyond the limitations of traditional tools and software.

Unlike static document platforms or basic AI tools, CONXAI intelligently extracts data from complex PDF scoping documents, and automatically identifies details such as finishes, manufacturers and model types while pinpointing their exact location.

This level of contextual awareness allows Hensel Phelps to rapidly compare extracted data against current contract documents, improving accuracy, saving valuable time and reducing the risk of scope misalignment. CONXAI’s construction-specific AI architecture integrates seamlessly into existing workflows, ensuring project teams spend less time searching and typing, and more time validating and coordinating. This made CONXAI the clear choice for driving document intelligence and decision-making at scale.

The Impact

Time Saved

  • Automates extraction of critical data from hundreds of pages of PDFs, eliminating the need to read and type manually.
  • Speeds up the comparison process between scoping documents and contract documents.

Errors Reduced

  • Minimizes human error in interpreting and transcribing technical information.
  • Enhances accuracy in identifying discrepancies or misalignments between project specifications and contractual requirements.

Improved Communication & Alignment

  • Provides clear, structured outputs that make it easier for teams to coordinate and share findings.
  • Help ensure that scopes and specs are aligned across stakeholders, reducing the risk of rework or scope gaps.

Standardization & Repeatability

  • Creates a repeatable process for scope validation across multiple projects.
  • Supports broader adoption of AI across the organization with minimal re-training.

Faster Decision-Making

  • Enables quicker identification of conflicts or inconsistencies, allowing project teams to take corrective action earlier.

Overall verdict

CONXAI’s team brings deep construction-specific expertise and a strong grasp of complex project documents. Unlike generic AI tools, it intelligently extracts and connects key data from large PDFs, streamlining scope review and ensuring alignment. The platform reduces manual effort, scales across projects, fits seamlessly into existing workflows and supports Hensel Phelps’ innovation-focused culture through a collaborative, forward-thinking approach.

Joe VanMilligan & Travis Tyson
Project Managers
Hensel Phelps Construction Co