- H2O Driverless AI can build lead scores, producer performance segments and next best action models from your own quote, policy, commission and activity history.
- Every score carries reason codes, so an agent sees why a lead or household is on the list and compliance can review the logic.
- An agent and broker co-pilot can answer product and appetite questions with citations and draft the outreach; the agent decides what to send.
- No insurer runs agent and broker next best action on H2O today, so this page describes the pattern, not a customer outcome.
Give every agent and broker a data-backed reason to act
Most carriers sell through captive agents, independent agents, brokers and call-center sellers. Each one decides every day which lead to call, which household to review and which product to raise, usually from a list sorted by date or by gut feel.
Your distribution team sees the results in production reports, weeks later. What it rarely sees is why one agency writes and keeps more business than another with a similar book, so good leads go cold while sellers work weak ones, and renewal conversations happen too late.