CambioML

CambioML automates lead qualification and quote intake for insurance MGAs and brokers, applying a custom sales playbook to after-hours inquiries and pushing quote-ready data into AMS, CRM, rater and calendar systems. SOC 2 Type 2 and GDPR aligned, with per-customer data isolation.

CambioML is a document and inquiry automation platform aimed squarely at the insurance distribution side of the market: managing general agents, brokers and advisors. The pitch is that a large share of inbound demand arrives when no one is at a desk, and the platform exists to turn those after-hours website inquiries, quote requests and renewal conversations into structured, qualified data that lands directly in the systems the agency already runs. The core mechanic is a configurable sales playbook. Rather than a generic chatbot, CambioML is trained on the agency's own qualification criteria and follow-up logic, then applies that same process to every interaction so each lead is filtered consistently. Captured customer details are converted into quote-ready fields and routed into the agency's AMS, CRM, quoting raters, email suite or calendar, with Applied, EZLynx, Outlook and Google Calendar among the systems shown on the site. The vendor states it handles the setup, so agents keep working in familiar tools rather than learning a new console. Renewal workflows extend the same idea to price comparisons and renewal quotes. The claimed outcomes are speed (leads qualified up to 30x faster), full automation of quote intake, and roughly a 20 percent lift in renewal retention. Those are vendor figures without published methodology, so treat them as directional. Security is positioned for enterprise review: SOC 2 Type 2, GDPR alignment, per-customer data isolation, no training on client data, no retention by LLM providers, and regular third-party penetration tests. CambioML sits in a narrow niche. General purpose document extraction tools and generic chat assistants can pull fields from a PDF, but they do not encode an insurance sales process or write back into AMS and rater systems. Buyers who need broad back-office document parsing outside insurance will find the product over-specialized; agencies that live on inbound quote volume are the intended fit.