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Manufacturing and operations teams need to maintain rigorous traceability records, respond quickly to production issues, and ensure consistent quality across every build. MyAi provides a structured layer for operator data capture, production record queries, and systematic root cause analysis — all connected to your existing shop floor systems.

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The Core Problem

Traceability is non-negotiable in regulated industries — aerospace as-built records, electronic device history records (DHR), battery history records, and similar documentation must capture exactly what happened at each production step. Yet the systems used to record and query this information are often fragmented, making it difficult for operators to enter data efficiently and for quality teams to review it comprehensively. When production issues arise, root cause analysis is equally challenging. Teams need to quickly determine whether a problem stems from suppliers, training, machines, materials, or environmental factors — and the relevant data is often scattered across multiple systems.

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Key Use Cases

Whether the requirement is an aerospace as-built record, an electronic battery history record, or a device history record, MyAi provides:
  • Operator data capture: A streamlined interface for operators to record what happened and what changed at each production step.
  • Queryable records: Quality and engineering teams can query traceability data through a Dimension rather than manually pulling reports from an MES or paper-based system.
  • Change tracking: Automatic logging of what was changed, when, and by whom — with full context preserved.
When a production issue occurs, the first question is always: Where did this come from? MyAi’s Dimensions act as intelligent data brokers — surfacing the right information from the right systems so that each analysis pulls context from across the operation. Teams can systematically evaluate potential root causes:
  • Suppliers — Is incoming material out of spec?
  • Training — Was the operator certified for this step?
  • Machines — Are maintenance records up to date?
  • Materials — Is the batch within specification?
  • Environmental — Were temperature, humidity, or other conditions in range?
Structure these investigations using lean methodologies (Fishbone diagrams, 5 Whys) baked directly into the Dimension’s Skills.
Non-Conformance Reports (NCRs) often require cross-referencing part data, supplier records, inspection results, and historical trends. MyAi consolidates this information into a Canvas, enabling quality teams to review, disposition, and track NCRs with full context rather than chasing data across systems.

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Why MyAi?

Structured Data Capture

Give operators a clean interface for recording production data that feeds directly into queryable Dimensions.

Systematic Root Cause

Apply structured lean methodologies with data from all relevant systems — not just gut instinct.

Regulatory Compliance

Maintain the traceability records required by aerospace, medical device, and other regulated industries.

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Learn More

Platform Architecture

Understand how Dimensions, Functions, and Canvases work together under the hood.

Guide for Quality Roles

Learn how quality teams use MyAi for inspections, NCRs, and compliance workflows.

Engineering

See how engineering teams manage part metadata, change requests, and design intent.

Supply Chain and Fulfillment

Explore how supply chain teams replace static planning documents with living artifacts.