Burgess Construction Consultants, Inc. is a nationally recognized provider of construction quality assurance, third-party inspections, and energy testing services. Serving residential and commercial builders across the United States, Burgess helps clients reduce risk, improve build quality, and maintain regulatory compliance through rigorous inspection standards and industry expertise.
- Construction
- Enterprise AI , Legacy System Modernization with Gen AI
The Project
The Background
Burgess Construction Consultants, Inc. is a nationally recognized provider of construction quality assurance, third-party inspections, and energy testing services. Serving residential and commercial builders across the United States, the company helps clients reduce risk, improve construction quality, and maintain regulatory compliance. As the organization scaled, its legacy technology infrastructure began limiting operational efficiency and innovation.
The Challenges
Legacy SSRS Reporting Limitations
The organization relied heavily on SSRS reports that lacked flexibility and performance optimization. This restricted visibility into key metrics and limited the ability to scale reporting as operations expanded.
Outdated ASP.NET Inspection System
The legacy inspection platform slowed down enhancements and constrained scalability. The tightly coupled architecture made it difficult to implement new features efficiently.
Manual Inspection Workflows
Inspection creation processes were largely manual and time-intensive. This increased the risk of data entry errors and reduced inspector productivity.
Limited Automation to Support Growth
As inspection volumes increased, the absence of automation created operational bottlenecks. The existing system could not efficiently support the company’s growing demands.
Project Goals
Modernize Reporting and Data Accessibility
Burgess required improved visibility into business metrics and more flexible reporting capabilities. The objective was to enhance existing SSRS reports, optimize performance, and enable automated report delivery to support faster, data-driven decision-making.
Replace Legacy Architecture with a Scalable Platform
The existing ASP.NET-based system limited scalability and slowed down enhancements. The goal was to transition to a modern, decoupled web architecture that would accelerate development cycles, improve maintainability, and support future growth.
Improve Inspector Productivity
Manual inspection creation workflows were time-consuming and prone to errors. A key objective was to streamline inspection processes, reduce manual effort, and increase overall productivity for inspectors.
Introduce AI-Driven Workflow Acceleration
Burgess sought to incorporate intelligent automation into its operations. The engagement aimed to embed AI capabilities that would simplify inspection creation and guide users through workflows using natural language inputs.
The Process
Reporting Optimization
ISHIR began by stabilizing and enhancing existing SSRS reports. Key business metrics were refined, report performance was optimized, and automated delivery mechanisms were implemented to improve operational visibility and decision-making continuity.
Platform Modernization
The legacy ASP.NET system was fully re-architected into a modern web application. An Angular-based frontend was introduced and supported by secure, scalable RESTful APIs. This decoupled architecture improved maintainability, accelerated development cycles, and significantly enhanced the user experience.
AI-Powered Inspection Assistant Implementation
To streamline inspection workflows, ISHIR embedded an AI chatbot directly into the application. The assistant enables inspectors to create inspection records using natural language inputs, guides them through workflow steps, and reduces manual data entry errors.
Value Delivered
The transformation significantly improved operational efficiency and reduced inspection turnaround times. Inspectors now benefit from an intuitive user interface and AI-assisted workflows that streamline record creation and minimize manual effort.
The modern, API-driven architecture provides Burgess with a scalable and future-ready platform capable of supporting continued innovation. By integrating AI into core workflows, Burgess has strengthened its ability to scale operations while maintaining quality, compliance, and performance.
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