Years ago someone asked me what comes after the AI-first enterprise. I said the autonomous enterprise.
The core of it is a flywheel: four parts (well, five including feedback) that feed each other, and every loop makes the next one smarter:
→ Goals - what is the company prioritizing, what does each team own, what does good look like
→ Context - everything that's happened before, plus current day goings-on, plus your resources (budget, tokens, people)
→ Action - where work actually gets done, SOPs and skills so AI can execute against Gmail, Calendar, Salesforce, other data, tradeoff analysis against goals and context, simulations
→ Decisions - what actions were taken, the memory layer, where the system reflects on what worked and feeds it back in
→ Feedback (duh)
You'll hear it called closed loops. Satya Nadella called it hill climbing to a small room a few weeks. But I worked at Amazon for four years, so it's going to be a flywheel in my head until I die.
The hard part of all of this is the plumbing (ex: connecting AI into your tools safely, pulling the judgment out of your company, extracting and reviewing your processes, codifying your qualities and value, governance and documentation to be able to interpret and review what is happening) - and managing it so the system acts the way you actually want. Then monitoring the whole thing constantly, with humans and with AI.
And trust me when I say that single exec workshop I'm doing right now is on building a self-learning org and carving out this flywheel.