Developed an AI-powered Co-pilot Platform for a Mid-Sized HVAC Contractor, Driving 40X Increased Productivity

The client traditionally relied heavily on the manual processes to complete ventilation take-offs. When it comes to scalability, the firm witnessed challenges like-

• Time-Intensive Manual Workflow- Tasks such as measuring dampers, ductwork, and diffusers, while referring to 2D drawings, consumed 8-12 hours per project. It limited the number of estimates that the team could deliver in a given timeframe.
• Costly Rewords with High Error Rates- The inherent human error rate of 15-20% often led to inaccurate quantity take-offs. The errors further caused cost overruns, strained client relationships, and scope for rework, impacting the firm’s reputation.
• Limited Collaboration- The manual Excel sheets for reporting further added 2 more hours to every project take-off. The absence of a real-time collaboration feature created significant communication gaps with approval delays.
• Lack of Scalability- It was next to impossible for the client to scale without adding headcounts. Accepting a new project simply meant overburdening existing staff or hiring new ones, both of which either influenced quality or cost.

Our team developed an AI-powered solution that enabled the client to deploy automation while eliminating the chances of human errors, avoiding cost overruns.

• Automated AI-Powered Take-Off Processing: We built a system that could use deep learning algorithms and computer vision to detect and measure ductwork, diffusers, and dampers, directly from the 2-D drawings. The take-off processing, which used to take hours, could now be completed in 2 minutes without any inaccuracy or human intervention.
• High-Precision AI Validation Engine: The built-in AI validation layer aligns the measurements with predefined industry tolerances, automatically reducing human errors by 15-20%. Our solution delivers 98% precision in take-off results while reducing the need for costly reworks.
• Automated Report Generation and Real-Time Collaboration: The AI solution professionally generates the reports in Excel and PDF format within minutes. The cloud-based collaborative interface allows team members to work simultaneously on the report.
• Scalable AI Infrastructure: The NineHertz built AI solution with a scalable architecture that could meet the changing business needs and project workload without compromising the outcome quality.

The deployment of the AI-enabled Co-Pilot platform delivered immediate results while transforming the business proficiency and operational efficiency.

• 97% Reduced Take-Off Time- The implementation of an AI solution reduced the project estimation time from 15 hours to just 8 minutes, enabling specialists to focus on higher-value tasks.
• 98% Accuracy Rate-Our solution reduced the human error rate in the process while bringing 98% accuracy in measurement and planning tasks.
• 95% Reduced Labor Costs- The automation of the take-off process helped to reduce the need for a manual workforce for measurement, which resulted in significant cost savings for each project.
• 40X Increased Productivity- The same team of specialists could now handle 40 times more quantity take-offs without adding more headcounts or workers.