Case studies that run the whole arc: what broke, what I found, what I built, and what it returned. Below them, the products and systems I run.
The first four run the whole arc, with the full exhibits behind each. The rest are products and systems built end to end.
Email-driven invoice chaos replaced with a capture service, an AI extraction agent behind human approval, and one tracker of record.
Read Case Study →Six sources that never agreed, 14 signed metric definitions, a nightly pipeline, and a reconciliation agent behind human review.
Read Case Study →A capacity model the GM can read, measured labor standards, and a Monday planning cadence. Deliberately no platform.
Read Case Study →A $12M D2C food brand asked for AI. The audit found an exception-control problem: one queue, one owner, one SLA clock, then automation.
Read Case Study →17 autonomous agents orchestrating 7 revenue campaigns. Zero manual intervention.
View Case Study →Full career platform: AI resume tailoring, interview prep, job tracking, social publishing, browser extension. 50+ data models.
View Case Study →Magic link auth, 3 payment gateways, Notion document sync, n8n workflow automation. Self-hosted.
View Case Study →It starts with the audit: find where the work breaks, then build the fix. Send 3 to 5 examples of work getting stuck, or book the call. dan@diazovate.com