AI Operating System for a Multi-Product Portfolio

Founder / first-party project. I designed an operating system for work shared by people and AI agents across my own multi-product portfolio. It defines reusable context, roles, decision rights, evidence requirements, approval boundaries and a rhythm for reviewing outcomes. The aim is to make AI-assisted product work more reliable and easier to govern, rather than relying on isolated prompts or demos.

My contribution covered product and workflow discovery, operating-model design, documentation and hands-on implementation. I also teach senior leaders practical operational use of AI and adapt the material for different levels of technical fluency. This project is presented as my own product and operating work, not as a client engagement. Specific adoption or productivity outcomes have not been measured for this case.