Decide where AI should work
We find the operational loops where AI can safely create leverage now.
You do not need to figure out AI transformation internally. BeanOS.ai takes it on end to end: strategy, infrastructure, first workflows, and the operating support that keeps the system improving.
What changes
We find the operational loops where AI can safely create leverage now.
We wire knowledge, tools, permissions, reviews, and audit into durable infrastructure.
Human experts stay close so workflows keep operating, upgrading, and adapting.
Who you work with
Gilad is a Ph.D. mathematician from the University of Michigan, a former Google Staff Software Engineer, and an AI engineer who builds enterprise-grade, SOC 2-compliant AI systems.
He founded BeanOS.ai to bring production engineering discipline to AI transformation: not a deck, not a chatbot demo, but an operating system for AI-native work.
Good fit
Start the transformation
We scope the first useful workflow, build the company-brain foundation, and stay engaged as the system becomes part of daily operations.