Engineering
How engineering teams use MyAi to manage part metadata, streamline change requests, and communicate design intent.
Engineering teams generate a massive amount of data beyond 3D renderings — revision histories, material specifications, change logs, and tolerancing details. Most of this metadata ends up manually transferred into spreadsheets or disconnected project management tools. MyAi surfaces this information contextually, making it queryable and actionable within the engineering workflow.
The Core Problem
PLM (Product Lifecycle Management) tools have historically lagged behind ERP and MES in innovation. Engineers spend a disproportionate amount of time working in disconnected Excel trackers, manually bridging gaps between PLM, PDM, QMS, and tribal knowledge. Critical design intent is often lost in translation between design engineering, manufacturing engineering, and operations.
Key Use Cases
Part Metadata Analysis
Engineers work with extensive metadata that goes far beyond the 3D model:
- Creation and update dates
- Revision history and change logs
- Material specifications and sourcing data
- Compliance and certification records
MyAi pulls this metadata directly from PLM and PDM systems, making it queryable through a Dimension. No more exporting to Excel just to answer a question about a part's revision history.
Engineering Change Request (ECR) Management
Understanding the implications of an ECR — which parts are affected, who needs to review, what downstream processes are impacted — is complex and often manual. MyAi provides:
- For managers: A high-level Canvas view of all active ECRs, their status, and cross-functional impact.
- For design engineers: A conversational interface to query the specifics of a change — affected assemblies, related NCRs (Non-Conformance Reports), and historical context.
Communicating Design Intent
One of the biggest gaps in engineering workflows is conveying why a design decision was made — not just what the specification is. For example, a GD&T callout (Geometric Dimensioning and Tolerancing) tells manufacturing what to hold, but not why that tolerance matters.
MyAi enables teams to attach and surface design intent alongside specifications. A process engineer can query a Dimension to understand: "Why does this bore have a circularity callout? What functional requirement does it serve?" — providing the context needed to manufacture effectively and make informed trade-off decisions.
Cross-Discipline Communication
Information flowing from design engineering → manufacturing engineering → process engineering → operations often loses context at each handoff. MyAi establishes shared Dimensions where each discipline can access the same source of truth, ask questions in their own context, and contribute their domain expertise back into the system.
Why MyAi?
- Contextual Metadata — Surface part data, revision history, and change context directly from PLM/PDM — no spreadsheet exports.
- Design Intent Preservation — Attach the why behind specifications so downstream teams can manufacture with full understanding.
- Cross-Functional Visibility — Shared Dimensions ensure design, manufacturing, and operations teams are working from the same information.
Learn More
- Platform Architecture — Understand how Dimensions, Functions, and Canvases work together under the hood.
- Guide for Technical / IT Users — Learn how technical users configure integrations, manage data sources, and administer the platform.
- Manufacturing and Operations — See how production teams use MyAi for traceability, root cause analysis, and NCR management.
- Integrations — Explore the tools and systems MyAi connects to out of the box.