Selected work
One client engagement shows the depth. Systems built for our own ventures show the range. The common thread is a process people can follow and tools they can trust.
Client engagement · names withheld
Work for a custom van conversion company and the overland storage brand it acquired. Supplier names, pricing, and client data remain private; figures are rounded.
Build parts were consolidated into one tracked workflow. Purchase orders gained a standard format, approval path, and status that could be followed across active builds.
Result: missing confirmations surfaced immediately, open orders became traceable, and the team had one place to see what was needed, ordered, received, or late.
Read the operations case studySupplier, dealer, and online-retailer relationships were developed in both directions: adding third-party products to the client's stores and placing the client's products with retail partners.
Result: account setup, listings, initial orders, and the ongoing handoff became an operating workflow instead of a chain of inbox tasks.
More than 100 Shopify pages were rebuilt through a structured template and review process. New-product launch standards connected costs, specifications, supplier paperwork, and store content.
Result: catalog work moved from one-off editing to a repeatable path with accuracy and business signoff before publication.
Read the commerce case studyOperator proof
These are BuiltWRKS and affiliated internal operations, not outside client engagements. They show how the same method transfers across business models.
One availability calendar blocks conflicting dates across two marketplaces. Separate price books and guardrails keep channel logic distinct, while bookings import every five minutes through deterministic code.
Read the rental system case studyA private control panel handles daily, weekly, and monthly billing, tracks occupancy and payment status, and avoids false collection alerts for platform-collected stays.
See operations capabilitiesA pre-launch aftermarket catalog uses structured fitment, brand pages, redirects, and a daily data-quality check. One product model supports both reference content and commerce.
See commerce capabilitiesA small agent team supports briefings, inbox routing, catalog work, and repeatable research. Code-based watchdogs monitor the jobs that need predictable recovery.
See applied AI capabilitiesStart with the problem
Tell us where work stalls, where customers feel it, and what needs to happen instead.