AI Authority / Knowledge Architecture
Structured technical knowledge systems designed for human and machine retrieval: subject taxonomies, question-level pages, entity relationships, and structured data.
Projects
Systems, Not Portfolio Graphics.
Where customer confidentiality applies, we describe the architecture and the business problem without identifying the customer. We do not publish invented client names, statistics, or outcome percentages.
Categories
What We Build.
ScanQuote
AI-assisted quoting and order processing for window products. Handwritten measurements and order documents become structured, rule-validated quote line items.
OCR Order Processing
Documents → structured data → validation → business system. Faxed, scanned, and emailed orders normalized into fields the business already uses.
Manufacturing Workflow
Quoting → approval → production → documentation, with production paperwork generated from the same validated data the quote was built from.
Customer Portals
Orders, documents, drawings, approvals, and history in one place, so status requests stop arriving by phone and email.
Construction Business Systems
Operational software designed around contractor workflows: field information, estimates, scheduling, approvals, and job documentation.
Featured system
ScanQuote — AI-Assisted Window Quoting
A salesperson or estimator can provide handwritten window measurements or order information. ScanQuote turns that into structured quote data a human then verifies.
- scan the information
- extract dimensions
- identify product configurations
- apply manufacturer-specific constraints
- create structured quote line items
- allow human verification
- produce customer-facing estimate information
- create downstream manufacturing information
Data path
- 01Handwritten sheet / order document
- 02AI extraction of dimensions and options
- 03Product and manufacturer rule validation
- 04Structured quote line items
- 05Estimator verification
- 06Customer estimate
- 07Manufacturing information
ScanQuote exists because window quoting is constrained work: sizes, configurations, and manufacturer rules interact. Automating it required understanding the product rules as precisely as the software.
Next step
Have a workflow that looks like one of these?
Bring the documents. The architecture conversation goes faster with real inputs in front of us.