AI shipped across sales, operations, and construction.
Embedded with a mid-size homebuilder. I spent the first stretch learning how each department actually runs, then built where it helped: automations for the repetitive work, internal chatbots over company knowledge, AI-assisted invoice processing, and a database that can finally answer multi-year questions.
The problem
Mid-size operations carry hidden friction in every department: repetitive data entry, broken handoffs between sales and operations, ad-hoc invoice processing, organizational knowledge buried in inboxes, historical data scattered across systems. The first job is finding where AI actually moves the needle versus where a simpler fix works better, and being honest about both.
The approach
Embedded across departments in learning mode first. Mapped workflows: where time goes, where mistakes happen, where judgment shows up. Built where AI fit: automations for repetitive work, internal AI chatbots for organizational knowledge, AI-augmented invoice processing. Upgraded database infrastructure to support multi-year historical queries. Each ship was the smallest version that proved the fit, then expanded from there.
Outcomes
- →Live across three departments
- →Repetitive manual work automated
- →Company knowledge searchable by anyone
- →Multi-year reporting the old setup could not do