About / Justin Haut
Built by an engineer who works inside the process.
Process to Production is the consulting practice of Justin Haut, an AI and process automation engineer who builds complete systems around operational work.
The through line is simple: understand how the work really moves, make the control points explicit, and use software or AI only where it creates durable leverage.
Operating range
From a plant floor to a household ledger.
Different domains, same engineering problem: important work held together by fragmented data, manual judgment, and hidden rules.
Manufacturing + ERP
AI and process automation inside NetSuite: quoting, engineering documents, purchase orders, part risk, saved searches, revenue workflows, and Arena integration.
Property operations
A multi-role field-operations platform that has evolved in production for nearly four years across turnovers, inspections, dispatch, vendors, and reporting.
Financial product
A full-stack mobile finance product spanning bank data, transactions, accounting logic, planning, secure AWS infrastructure, and human-reviewed AI assistance.
Why this practice exists
Software should leave the operation stronger than it found it.
Justin currently builds AI and process automation for manufacturing operations at GMI Solutions, with reusable SuiteCloud, SuiteQL, Azure AI, and NetSuite UI foundations behind document-heavy engineering and ERP workflows.
That work sits alongside years spent building and operating full products: a property-operations platform refined under real field use, and a personal-finance mobile application with its own production AWS backend.
The result is a practice that can move from process discovery to interface, integration, data model, infrastructure, AI boundary, deployment, and ongoing operations without losing the original business problem between handoffs.
Working principles
Practical by design.
Start with the process
The useful architecture is hidden in the real handoffs, exceptions, decisions, and economics of the work.
Keep control explicit
Models can interpret and assist. Deterministic logic should own money, policy, validation, and irreversible actions.
Build for the second year
Production software earns trust through observability, failure handling, maintenance, and iteration—not the first demo.
A useful first conversation