AI Automation Systems
Agents, workflow orchestration, and decision logic that run a process end to end — from document handling to live voice — under real production load.
AutoArchitect · AI & Automation R&D
AutoArchitect is an R&D practice that turns slow, manual, error-prone workflows into systems that run themselves. Every project here began as a business problem — and shipped as production software.
What we build
Each capability is pressure-tested against real production load before it ever touches a client's business.
Agents, workflow orchestration, and decision logic that run a process end to end — from document handling to live voice — under real production load.
The tools a business already runs, wired into one system. CRMs, accounting, and operations platforms synced cleanly — without the duct-tape that breaks six months later.
New products from concept to production. Lean web and mobile builds, engineered to scale the moment the idea proves out.
Structured and unstructured documents turned into clean, usable data. Identity verification, invoice and statement processing, contract analysis.
Selected Work
Client details anonymized. Each system was prototyped in the lab, proven on real data, and runs in production today.
A finance team reconciled multi-bank PDF statements by hand every month. We built a pipeline that ingests statements from any institution, normalizes the transactions, and reconciles them against the ledger.
Result Manual reconciliation retired; days of ops time returned to the team each month.
Orders slipped through at peak hours, and staff left the kitchen to answer the phone. A voice agent now takes inbound orders around the clock and writes them straight into the POS.
Result No missed calls at peak; staff stay on kitchen operations.
A growing salon group needed bookings, reminders, tip accounting, and slow-day marketing handled without more front-desk staff. One system books appointments by voice, OCRs handwritten tip sheets, and triggers promos on quiet days.
Result Fewer no-shows and consolidated reporting, with no added overhead.
An agency had a gap between content output and sales follow-up. A drafting pipeline takes briefs to publish-ready copy with human approval at each gate, while inbound leads are enriched, scored, and dropped into personalized nurture tracks.
Result Content performance wired directly to sales follow-up.
Clerks keyed invoices by hand and chased approvals over email. Invoices are now read by OCR, matched to purchase orders, routed for approval, and synced to the ERP automatically.
Result Touchless processing for matched invoices; only exceptions reach a human.
Claims arrived in a shared inbox and were sorted by hand. Each one is now classified, has its key data pulled from photos and PDFs, and is routed by severity — with fraud signals flagged for review.
Result First-response time cut sharply; adjusters see only what needs a human.
A small team was buried in "where's my order" and returns tickets. An AI agent reads live order and shipping data, resolves the common requests itself, and escalates the rest with full context attached.
Result Tier-1 volume absorbed; agents handle only genuine exceptions.
Leads sat for hours before anyone replied, and the best ones went cold. New leads are now enriched, qualified by an AI agent over chat and email, then booked or routed to the right rep within seconds.
Result Every lead answered in seconds; reps spend time only on qualified ones.
Method
A real sequence, not a sales funnel. Nothing ships until it earns its place in the business.
Map the real workflow, the bottleneck, and what "done" looks like in the client's own terms.
Build the smallest version that proves the hard part works — on the client's real data.
Run it against production conditions. Measure, harden, and remove the failure modes.
Deploy it into the business, wire up monitoring, and keep it running.
Stack
Tools chosen to fit the problem — never the other way around.
The practice
AutoArchitect exists to do one thing well: turn business problems into systems that run themselves. We prototype fast, prove the hard parts on real data, and ship production software that operates every day — not slide decks or proofs of concept that stall.
Behind the work is two decades of production engineering across fintech, retail, logistics, and B2B platforms, with deep roots in system integration and applied AI. Based in Calgary, Canada — working with clients worldwide.
Contact
Tell us the bottleneck. If it's a fit, we prototype the hard part first — so you see it work before you commit a budget to it.
Alex@autoarchitect.ioCurrently taking on select projects · Replies within a day