Revori runs on a dedicated machine with a proprietary AI harness built specifically for insurance brokerages. The environment is structured around the systems and data that run the business: your AMS, production, book of business, financial records, and the files that sit around them. Underneath the AI is a deterministic data foundation that preserves the relationships between those records, giving the system a persistent understanding of the brokerage rather than a collection of disconnected inputs.
Revori works inside the brokerage's own environment, with access to the files, systems, tools, and data it has been authorized to use. The machine becomes the place where the brokerage's AI operates, rather than sending individual pieces of company information into separate general-purpose tools.
Revori does not begin with a folder of documents and ask the model to make sense of them. Production, policy activity, book of business, revenue, carrier, producer, agency, line of business, and ledger activity are structured into a common representation of the brokerage. The relationships between those records, and the timing between them, remain intact as the system works across the business.
The harness can work with the tools available to it, read and write files, execute code, work through data, and carry out multi-step operations. The point is not simply to produce an answer. The system can perform the work required to get to the result.
For work that requires several steps, Revori can determine what needs to happen, execute each step, inspect the result, and continue until the work is complete. That makes the system capable of carrying a process through an environment and its underlying data rather than stopping at the first generated response.
Because the system is built around the brokerage's underlying structure, each task is performed in the context of the business it belongs to. A transaction is not just a row. It has a policy, producer, carrier, agency, dates, production history, revenue implications, and financial context around it. Revori preserves those relationships instead of forcing the AI to reconstruct them from scratch.
The environment defines what Revori can access and what it can do. Permissions, approvals, execution boundaries, and logging keep the system governed by the brokerage while still allowing it to perform meaningful work inside that environment.
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