It started with a spreadsheet. Early in his career, Jon noticed that the biggest inefficiencies in accounting weren't strategic — they were operational. Hours spent manually rebuilding the same reconciliation, re-entering data that already existed in the GL, reformatting reports that should run themselves.
That practical, problem-first mindset has defined 25 years in business and finance — working across multiple industries, leading teams, implementing systems, and driving the kind of operational improvements that show up directly on the bottom line. Along the way, he earned his CPA certification and built deep experience in financial operations, process improvement, and technology integration.
The progression from Excel macros to Robotic Process Automation (RPA) to today's AI tools was a natural one. Each step was driven by the same question: does a human actually need to do this? In most finance departments, the honest answer is no — not for a surprising amount of the daily work.
AI Business Concepts was founded to close a gap. Accounting teams — in-house departments and small firms alike — were being left out of the AI conversation: overwhelmed by hype, priced out by enterprise tools, or handed advice by people who understood technology but had never actually closed a set of books. Jon built this practice to be different: accounting judgment first, technology second, and always sized for the real world.
The longer version of that story — the IT kid who became an accountant, the AI attempt that was two years too early, and what changed — is here: Two Years Too Early: My AI Journey.