AI workflow systems
Custom internal apps where AI reads messy inputs, extracts useful structure, and hands decisions to people with the right controls.
AI implementation for real operations
Building the systems that turn messy emails, PDFs, spreadsheets, equipment data, and tribal knowledge into structured workflows people can actually run.
Where the work shows up
A practical portfolio across financial services, hospitality, manufacturing, distribution, and higher education.
Services
Custom internal apps where AI reads messy inputs, extracts useful structure, and hands decisions to people with the right controls.
Email, spreadsheet, PDF, approval, reporting, and reconciliation work turned into repeatable software workflows.
Connecting ERP data, SQL databases, cloud services, machines, RFID, scales, and business logic into usable dashboards and apps.
Use-case discovery, training, policies, playbooks, and adoption support that make AI useful without giving it uncontrolled authority.
Built work
Live cloud app
Replaced manual ticket emails and PDF handling with private invite links, Gmail reply processing, AI-assisted parsing, admin approval, inventory tracking, and automated fulfillment emails.
Operations integration
Connected equipment, RFID readers, scales, production data, labor tracking, and management dashboards so a physical operation could be measured and managed digitally.
Spreadsheet automation
Automated quarterly surcharge workflows across vendor pricing, Syteline data, contract prices, quote exports, and submission workbooks.
Enterprise adoption
Built and supported AI workflows, internal applications, process improvement, training, adoption materials, and practical controls for industrial and distribution environments.
Approach
Find the actual process, the hidden rules, the exception cases, and the handoffs people are already managing manually.
Turn inputs into clean data: forms, emails, PDFs, equipment readings, ERP records, and spreadsheet exports.
Keep approvals, permissions, audit logs, validation, and failure handling in the application layer.
Ship the working system, train users, watch real behavior, and tighten the workflow around what actually happens.
Founder
Industrial engineer, AI integration engineer, software builder, and Purdue-trained operator who likes the unglamorous middle of automation: messy inputs, weird rules, skeptical users, and systems that still need to work on a Tuesday afternoon.
Contact
That is usually where the best automation projects start.