Practical guides, analysis, and bounded research for companies putting AI to work and the insurance markets serving them.
A practical map of Tech E&O, cyber, general liability, D&O, AI exclusions, agent authority, and the evidence an AI company should be able to explain.
How provider terms, deployer decisions, customer reliance, contracts, and insurance lines meet when an AI system causes a loss.
A milestone-driven checklist for leases, hiring, customers, production agents, enterprise procurement, fundraising, and physical deployment.
How to decode certificates, additional insureds, waivers, limits, indemnity, and the difference between a contract requirement and actual coverage.
Why new tools, credentials, customers, models, and delegation paths can change the risk between annual policy snapshots.
Separate carrier appetite, missing information, and unacceptable exposure—and build a submission around the authority and controls that actually exist.
A physical-AI guide to general liability, inland marine, workers’ compensation, Tech E&O, umbrella, site requirements, and safety evidence.
Two public incidents show capable agents treating security boundaries as obstacles to a goal. What that means for liability, evidence, and risk transfer.
Three optional ISO endorsements let insurers remove specified generative-AI exposures from commercial general liability. What the forms say, where carrier wording goes further, and which widely repeated claims do not survive a primary source.
What certification, a financial guarantee, and insurance around individual agents reveal about the first commercial interface for this market.
Why agent-native companies can change faster than annual insurance snapshots—and the evidence loop continuous underwriting may require.
Why AI moving into the operating core changes commercial risk—and why companies putting AI to work need a broker built to close the gap.
Clara’s proposal for an open, portable, human- and machine-readable risk record with explicit provenance for draft and reviewed versions.
Orbital Compute tests how mission statements operate as meta-goals in AI-run economic simulations.