05 — AI & Intelligent Automation
AI deployed where it makes business sense — not as a trend.
We use AI in two distinct ways: to move faster in our own engineering work, and to automate real business workflows for our clients when the use case actually justifies it. Neither happens without discipline, and neither happens without experienced engineers driving it.
For client operations, the most immediate value tends to be in intake and triage. When your business gets a high volume of leads, service requests, job submittals, or inquiries, someone is spending hours categorizing, routing, and following up. AI-powered intake handles that — automatically classifying submissions, routing them to the right person or system, and triggering the next step without a human in the middle. The same logic applies to document summarization, quote drafting, and repeat-inquiry response generation.
- AI-powered intake forms that categorize and route submissions automatically
- Triage workflows that handle volume spikes without adding headcount
- Auto-response generation for high-frequency inquiry types
- Document summarization and classification pipelines
- AI-accelerated development with strict environment separation
- All deployments manually reviewed — no untested AI output goes to production
AI intake in practice
New inquiry → classified by type → routed to right team member
Service request → triaged by urgency → task created automatically
Form submission → AI summary generated → flagged for review or auto-approved
Repeat question type → AI draft response → sent or queued for approval
High-volume intake period → handled without bottleneck
Your production data never touches an AI training pipeline