I build internal products, automate the processes around them, and put AI in only where the data can carry it. I have done this inside a startup, inside a large logistics company, and now as a consultant, and the pattern has never changed: sit with the people doing the work, find where it breaks, put the process into a system, ship it, then watch who actually uses it.
Instaspaces was the proving ground. I joined a small meeting-room startup running accounts and operations when GST changed the market, and led the virtual-office product from research to launch. Then the booking database, the approvals, the vendor dashboards, the CRM, all rebuilt as proper web apps on Apps Script. Six years of turning every function into a system.
CJ Darcl Logistics hired me to do it at scale: voice agents that called vendors, an AI copilot for a forty-person tracking team, a sales CRM on tools the company already paid for. That is also where I learned the uncomfortable part: a proof of concept can hit every number and still get parked if nobody owns it.
The habit underneath all of it comes from my first four years, in audit and financial reporting: if a number cannot be traced, it is not a number. Every board I build is designed so nobody has to take it on trust.