AIPQP
Connected Intelligence

AI Drawing Intelligence for Quality Documents

Use engineering drawings as inputs to APQP document work. AIPQP already supports drawing-informed generation on supported flows; deeper automated GD&T/SC-CC extraction and Part Library automation are shipping on a clear Coming soon track.

Available today: upload/use drawings as context for AI Generation on supported document workflows. Coming soon (explicitly listed in-product pricing): full Blueprint Intel extraction suite and automated Part Library population.

Key Capabilities

Capabilities marked Available today ship in AIPQP now. Coming soon items are on the roadmap and labeled clearly.

Drawings as Generation Context

Available today

Attach engineering drawings when generating quality documents so AI has visual and specification context—not a blank template.

Human Review of Extracted Inputs

Available today

Reviewers stay in control. Any drawing-derived content is treated as draft input for human acceptance before it becomes a quality record.

Feed AI Generation Cascade

Available today

Drawing context supports Process Flow, PFMEA, Control Plan, and Inspection Plan generation so characteristics stay closer to the print.

Full GD&T Callout Parsing

Coming soon

Structured extraction of geometric callouts, datums, and tolerance frames across multi-page prints is on the Blueprint Intel roadmap.

Automated SC/CC Flagging

Coming soon

Automatic detection of safety-critical and diamond-marked characteristics for downstream PFMEA/Control Plan severity is Coming soon.

Part Library Auto-Population

Coming soon

One-click save of extracted dimensions, materials, and notes into a reusable Part Library is planned—not claimed as generally available today.

Built for teams that start from the print

  • Quality engineers who generate APQP docs from customer drawings
  • NPI teams that need drawing context inside Generate—not a separate OCR silo
  • Inspection planners who will benefit when full GD&T extraction ships
  • Supplier quality engineers reviewing print-driven documentation packages
  • Buyers evaluating roadmap Blueprint Intel without being sold vaporware

How AI uses drawings today

  • Uses uploaded drawings as context during supported AI Generation workflows
  • Keeps humans accountable—drawing-informed drafts are reviewed before release
  • Connects drawing-backed documents into the same lineage used by Assess and Package
  • Sets up the path for Coming soon Blueprint Intel extraction without overstating current automation

How it works

  1. Step 1

    Upload the drawing

    Add the engineering print to the part or generation workflow.

  2. Step 2

    Generate with context

    Run AI Generation so the model can reference drawing-backed inputs.

  3. Step 3

    Review the draft

    Confirm characteristics, notes, and controls before accepting outputs.

  4. Step 4

    Assess completeness

    Use AI Assessment to catch gaps relative to your standards.

  5. Step 5

    Package evidence

    Include approved documents in PPAP packaging when ready.

Frequently Asked Questions

Is full Blueprint Intelligence extraction available today?

The complete Blueprint Intel extraction suite (structured GD&T/SC-CC/Part Library automation) is Coming soon and is called out as such in AIPQP pricing. Drawing-informed generation on supported flows is available today.

What file types can I use?

Common engineering drawing uploads (such as PDF and image formats supported by the app upload pipeline) can be attached for generation context. Exact limits follow the in-app uploader.

Can I edit anything the AI proposes from a drawing?

Yes. AIPQP is human-in-the-loop: drafts are suggestions until a qualified reviewer accepts them into the quality record.

How does this connect to PPAP?

Drawing-informed documents flow through Assess and into Package like any other generated artifact—lineage stays with the part and program.

Start with drawing-informed generation

Use drawings in live Generate workflows today, and ask sales about the Blueprint Intel roadmap.

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