AI-native revenue systems
How data, workflows, intelligence and agents become one operating system for revenue.
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The systems behind how companies grow are being rebuilt.
I study and build the infrastructure, revenue systems and AI agents shaping the next generation of companies.
Co-founder & Head of Product at Cnaan.
AMIT BOKERFIELD / 001SYSTEMS IN MOTIONReality first.
Systems second.Observed in the field · July 2026
Systems second.Observed in the field · July 2026
A point of view
AI transformation does not start with an agent. It starts with the systems that let a company sense, know, decide, act and improve.
Featured research
R—001
Research in progress
The AI-Native Revenue Stack
A practical model for understanding the infrastructure companies need before deploying AI agents across the revenue organization.
- Focus
- Infrastructure · Intelligence · Action
- Method
- Fieldwork · Market mapping · Synthesis
- Last updated
- July 2026
What I'm exploring
Three connected questions.
Revenue Plays
Turning a recurring commercial problem into a measurable, deployable and improvable motion.
AI transformation
What has to change in the infrastructure and organization before AI changes the work itself.
Playbooks
Systems you can put to work.
01
AI Infrastructure · 45 minAI Revenue Readiness
Determine whether a company is actually ready to deploy AI agents.
02
Sales Systems · 60 minLead Response System
Design the infrastructure behind fast, reliable lead response.
03
Orchestration · 30 minNo-Show Recovery
Reduce missed meetings with reminders, follow-up and clear ownership.
Latest thinking
Ideas developed in public.
Why AI agents fail inside otherwise healthy companies
The technology is rarely the first constraint. Fragmented data, undefined ownership and broken handoffs usually are.
A WhatsApp agent is useless without reliable state
What a simple reminder workflow reveals about infrastructure, idempotency and operational trust.
Revenue Plays are the atomic unit of AI transformation
A practical way to move from broad AI ambition to a bounded commercial outcome a team can deploy and improve.
About
I'm Amit.
I'm a builder, product thinker and co-founder of Cnaan, where we develop agentic sales infrastructure for sales-driven companies.
This site is where I turn what we learn in the field into useful frameworks, research and honest notes—including the assumptions that failed and the systems we had to rethink.
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