Paperless Parts’ Wingman AI Revolutionizes Quoting Accuracy and Collaboration for Job Shops!

Paperless Parts has unveiled its latest innovation — the Requirements Review feature, powered by Wingman AI, designed to transform the quoting process for job shops and contract manufacturers. This new AI-driven tool brings data intelligence, collaboration, and automation together to help manufacturers quote faster, more accurately, and with greater confidence.

In today’s competitive manufacturing environment, quoting precision and speed often determine profitability and customer satisfaction. Paperless Parts’ Requirements Review addresses these challenges by using AI to automatically identify and highlight critical requirements across CAD models, technical drawings, and supporting documentation. By surfacing this information early in the quoting process, the system reduces errors, improves consistency, and enables a more streamlined workflow.

At its core, the Requirements Review tool leverages Wingman AI to extract geometric dimensioning and tolerancing (GD&T) data, specifications, notes, and other key cost drivers directly from engineering files. It then flags potential high-risk conditions — such as tight tolerances, special materials, or complex geometries — that could impact machining time, cost, or feasibility. These flagged items are linked to specific decisions or actions, like issuing a “no-quote,” updating a router, or assigning an estimator, ensuring that no detail is overlooked.

Beyond automation, the tool enhances team collaboration through a shared, interactive interface. Estimators, engineers, and managers can assign requirements, discuss issues inline, and track progress within a unified workspace. Every decision is logged with a detailed audit history, improving accountability and providing transparency throughout the quoting process. For larger assemblies or multi-part requests, the “set all” functionality enables users to resolve recurring requirements in bulk, significantly reducing manual effort and saving time.

A standout advantage of Requirements Review is its ability to capture and codify shop-floor knowledge. Over time, as teams interact with the system, their inputs are converted into a growing library of intelligent rules — effectively turning decades of tribal knowledge into actionable digital guidance. This helps standardize quoting practices across the organization and serves as a valuable training resource for new estimators.

The result is a powerful combination of automation and human expertise: AI accelerates data extraction and rule enforcement, while experienced users guide continuous improvement. This not only shortens lead times and minimizes quoting errors but also enables shops to scale operations confidently without sacrificing accuracy or profitability.

By integrating Wingman AI into the quoting workflow, Paperless Parts is redefining how modern job shops manage their quoting processes. The Requirements Review feature exemplifies how artificial intelligence can bridge the gap between engineering and estimation — turning complex data into actionable insights and enabling manufacturers to make smarter, faster, and more profitable decisions.