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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 We do not publish invented client names, statistics, or outcome percentages.

Internal systems & technology

Developed by Western Software Developers.

Systems we have designed and built ourselves. ScanQuote and our Autonomous AI Knowledge & Publishing System are detailed below.
  • 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

Autonomous AI Knowledge & Publishing System

A multi-stage AI system that researches, validates, manages and publishes knowledge automatically.

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.

  • Automated intake and classification
  • Research and source handling
  • AI-assisted content generation
  • Fact validation
  • Quality control
  • Duplicate detection
  • Workflow decisions
  • Escalation when information is insufficient
  • Automated scheduling and processing
  • Publishing controls
  • Monitoring and exception handling

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

Client Work.

Client projects are published only with permission. Until then, we describe the kinds of systems we build rather than naming customers or results.

Categories

Types of Systems We Build.

01

AI Authority / Knowledge Architecture

Structured technical knowledge systems designed for human and machine retrieval: subject taxonomies, question-level pages, entity relationships, and structured data.

02

ScanQuote

AI-assisted quoting and order processing for window products. Handwritten measurements and order documents become structured, rule-validated quote line items.

03

OCR Order Processing

Documents → structured data → validation → business system. Faxed, scanned, and emailed orders normalized into fields the business already uses.

04

Operational Workflow

Quoting → approval → production → documentation, with production paperwork generated from the same validated data the quote was built from.

05

Customer Portals

Orders, documents, drawings, approvals, and history in one place, so status requests stop arriving by phone and email.

06

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

  1. 01Handwritten sheet / order document
  2. 02AI extraction of dimensions and options
  3. 03Product and manufacturer rule validation
  4. 04Structured quote line items
  5. 05Estimator verification
  6. 06Customer estimate
  7. 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.