Real-world implementation case study: See how we transformed construction estimation for Horizon Builders

Case Study: Construction

How Horizon Builders Revolutionized Their Estimation Process

AI-powered Project Agent reduced takeoff time by 85% and improved bid accuracy by 22%

AI Floor Plan Analysis

Project Agent analyzing floor plans for automated takeoffs

85%

Reduction in takeoff time

22%

Improved bid accuracy

30%

Fewer change orders

4x

More bids submitted

About Horizon Builders

Horizon Builders is a mid-sized commercial construction company based in Denver, Colorado, specializing in office buildings, retail spaces, and multi-family residential projects. With 75 employees and annual revenue of $45 million, they compete against larger firms for projects ranging from $2-15 million.

75
Employees
$45M
Annual Revenue
15+
Years in Business
25-30
Projects Per Year

The Challenge

Inefficient Estimation Process

Horizon Builders was struggling with a labor-intensive estimation process that required estimators to manually measure and calculate quantities from floor plans. This process was:

  • Time-consuming: 20-25 hours per project for takeoffs alone
  • Error-prone: 15-20% error rate in measurements leading to cost overruns
  • Limited capacity: Only able to bid on 6-8 projects per month
  • Inconsistent: Results varied based on which estimator performed the takeoff

"We were losing bids because we couldn't respond quickly enough, and when we did win projects, we often discovered measurement errors that ate into our profit margins."

— Michael Torres, Chief Estimator

Project Management Inefficiencies

Beyond estimation, Horizon faced challenges in project execution that impacted their bottom line:

  • Frequent change orders (averaging 12% of contract value)
  • Suboptimal resource allocation leading to idle equipment and labor
  • Schedule delays on 35% of projects
  • Limited risk assessment capabilities leading to unexpected issues

"We were constantly fighting fires instead of preventing them. Our project managers were spending too much time solving problems that could have been anticipated with better planning."

— Sarah Chen, Operations Director

The Solution: wrkspce.ai Project Agent

Project Agent Avatar

Implementation Timeline

Week 1

Discovery & Assessment

Week 2

Initial Setup & Integration

Week 3

Training & Calibration

Week 4+

Full Deployment & Optimization

AI-Powered Construction Management

After evaluating several options, Horizon Builders partnered with wrkspce.ai to implement the Project Agent, an AI-powered solution specifically designed for construction workflows.

Floor Plan Analysis Tool

AI-powered computer vision technology that automatically extracts measurements and quantities from floor plans, reducing takeoff time by 85%.

Project Timeline Optimization

AI algorithms that analyze project constraints and dependencies to create optimized schedules, reducing timeline conflicts by 20%.

Resource Allocation

Intelligent suggestions for optimal team and equipment allocation, improving resource utilization by 22%.

Risk Assessment

Proactive identification of potential project risks with mitigation strategies, reducing change orders by 30%.

Integration with Existing Systems

The wrkspce.ai team integrated the Project Agent with Horizon's existing systems:

Acumatica Construction Edition

Bidirectional data sync for project financials and procurement

Procore Project Management

Integration for schedule updates and resource allocation

Bluebeam Revu

Direct import of floor plans and export of takeoff data

The Results

Quantitative Improvements

Estimation Process

Takeoff Time85% Reduction
Before: 20-25 hoursAfter: 3-4 hours
Bid Accuracy22% Improvement
Before: 80-85% accuracyAfter: 97-98% accuracy
Bid Capacity4x Increase
Before: 6-8 bids/monthAfter: 24-32 bids/month

Project Execution

Change Orders30% Reduction
Before: 12% of contract valueAfter: 8.4% of contract value
Resource Utilization22% Improvement
Before: 65% utilizationAfter: 87% utilization
Schedule Adherence25% Improvement
Before: 65% on-timeAfter: 90% on-time

Business Impact

Financial Outcomes

Annual Cost Savings$850,000
Win Rate Improvement18% → 27%
Project Profit Margin8.5% → 11.2%
ROI Payback Period9 months

Executive Testimonial

"The wrkspce.ai Project Agent has transformed our business. We're bidding on more projects, winning more contracts, and executing them more profitably. The AI doesn't just save time—it's helping us make better decisions at every stage of the construction process."

JR

James Rodriguez

CEO, Horizon Builders

Competitive Advantage

  • Faster response to RFPs, increasing chances of winning contracts
  • More accurate bids, reducing financial risk and improving client trust
  • Better resource management, allowing for simultaneous handling of more projects
  • Enhanced reputation for on-time, on-budget project delivery

Team Impact

Estimating Team

"Instead of spending days on takeoffs, we now focus on value engineering and finding creative solutions for clients."

— Michael Torres, Chief Estimator

Project Managers

"The risk assessment capabilities have been game-changing. We can anticipate and mitigate issues before they become problems."

— Lisa Patel, Senior Project Manager

Field Superintendents

"Resource allocation suggestions have eliminated bottlenecks and kept our crews productive throughout the project lifecycle."

— Carlos Mendez, Field Superintendent

Implementation Insights

Key Success Factors

  • Executive Sponsorship

    Strong support from leadership ensured adoption across all departments

  • Phased Implementation

    Starting with floor plan analysis before expanding to other features

  • Comprehensive Training

    Ensuring all team members understood how to leverage the AI capabilities

  • Integration with Existing Systems

    Seamless connection with Acumatica, Procore, and Bluebeam

Challenges & Solutions

Initial Resistance to Change

Some estimators were skeptical about AI accuracy and worried about job security.

Solution:

Side-by-side comparisons showing AI accuracy and training on how AI augments rather than replaces human expertise.

Data Quality Issues

Inconsistent floor plan formats and quality initially reduced AI accuracy.

Solution:

wrkspce.ai team created custom training for the AI using Horizon's historical plans and standardized input requirements.

Integration Complexity

Connecting with multiple existing systems presented technical challenges.

Solution:

wrkspce.ai's engineering team developed custom APIs and connectors to ensure seamless data flow between systems.

Future Roadmap

1

Expanding AI Capabilities

Horizon plans to implement additional Project Agent features:

  • 3D model analysis for clash detection
  • Predictive analytics for material price fluctuations
  • Weather impact forecasting for schedule optimization
2

Team Expansion

With the efficiency gains from AI implementation, Horizon is focusing on strategic growth:

  • Hiring additional project managers to handle increased volume
  • Creating a dedicated BIM/VDC department
  • Expanding into new geographic markets
3

Market Positioning

Leveraging AI as a competitive differentiator in the marketplace:

  • Marketing AI capabilities to potential clients
  • Pursuing larger, more complex projects
  • Developing case studies to showcase AI-driven success

Transform Your Construction Business with AI

Learn how wrkspce.ai's Project Agent can help your company achieve similar results with a custom AI implementation tailored to your specific needs.

Join the growing number of construction companies leveraging AI to gain a competitive edge.