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
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 We do not publish invented client names, statistics, or outcome percentages.
Internal systems & technology
ScanQuote
AI-assisted window quoting from handwritten measurements and order documents.
Autonomous AI Knowledge & Publishing System
A multi-stage AI system that researches, validates, manages and publishes knowledge automatically.
Knowledge architecture
The structured knowledge library and AI-readable site architecture on westernsoftware.dev.
Developed by Western Software Developers
This system manages a complete knowledge operation rather than simply generating AI text. Incoming information is received, classified and routed automatically. The system then decides what should happen next: whether an item becomes new content, expands existing material, is merged with something already published, requires additional research, or is escalated for review because the available information is insufficient.
Every stage — research, drafting, fact validation, quality control, duplicate detection and publishing — runs as a controlled step in an automated workflow, with monitoring and exception handling when something cannot be resolved on its own.
This is what distinguishes an AI implementation partner from a provider of AI writing tools. It demonstrates Western Software Developers' ability to build AI systems that perform complex multi-step operational work — with business rules, quality controls, escalation paths and unattended scheduling — rather than simply generating text.
The same architecture applies to other business processes involving documents, incoming requests, research, classification, repetitive decisions, data processing, approvals, customer communication and information management.
Client / commercial projects
Categories
Structured technical knowledge systems designed for human and machine retrieval: subject taxonomies, question-level pages, entity relationships, and structured data.
AI-assisted quoting and order processing for window products. Handwritten measurements and order documents become structured, rule-validated quote line items.
Documents → structured data → validation → business system. Faxed, scanned, and emailed orders normalized into fields the business already uses.
Quoting → approval → production → documentation, with production paperwork generated from the same validated data the quote was built from.
Orders, documents, drawings, approvals, and history in one place, so status requests stop arriving by phone and email.
Operational software designed around contractor workflows: field information, estimates, scheduling, approvals, and job documentation.
Featured system
Data path
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
Bring the documents. The architecture conversation goes faster with real inputs in front of us.