An AI-native company makes its meetings, decisions and data readable to agents, uses the cheapest layer that can do each job, and keeps a named person responsible for every result. These articles explain how to get there, securely.
Cody Tranbarger ran a drug company alone, with Claude coordinating 11 outside labs, and reached encouraging mouse results in under 18 months. The lesson for one-person companies is less about AI than about who he was before he started.
A 90-day plan for a company of 5 to 50 people: document one workflow, try an agent within clear limits, and measure completed work, review time and cost before expanding.
An AI-native company makes its meetings, decisions and data readable to agents, uses the cheapest layer that can do each job, and keeps a named person responsible for every decision.
AI agents and dashboards answer from whatever the data pipeline delivers. How retry limits, reconciliation and freshness checks expose silent ingestion failures.
AI automation in a large company works when it fits the approval chain that already exists. How to decide which work runs on its own and which waits for a person.
Bonrock