Coordinate the whole company
It's the same AI-coworker model that runs a solo founder's business, scaled up: people and autonomous agents in one governed workspace, with the authority, review, and audit trail a larger organization needs — from business intent through delivery and operation.
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The intelligence layer
Armalo uses agentic AI to research, decide, build, execute, and improve inside clear company and approval boundaries. The aim is automation at scale: more accepted outcomes per operator hour as the system learns which work is repeatable.
That is an operating thesis, not a guarantee of “infinite margins” or superintelligence today. It gives the team a way to separate evidence from ambition, then turn the next useful idea into a measured workflow.
The operating loop
Name the economic outcome and the team that owns it.
Bring contributors and agents into one attributable mission thread.
Use policy, review, testing, approval, and rollback paths proportional to risk.
What you leave with
A scoped pilot plan and an honest boundary between current offer, product under construction, and category vision.