Rai Creates Operational Leverage at Range

Rai matters because it turns Range from a people heavy advisory firm into software that happens to include advisors. Range already sells flat subscriptions instead of taking a percent of assets, so cutting routine inbound messages by half directly lowers the amount of advisor time needed per member. In practice, Rai handles the constant stream of planning questions that would otherwise fill chat queues, while human CFPs, CPAs, and estate specialists step in for higher judgment work and premium upsells.

• Range built the product around a unified dashboard that pulls in bank, brokerage, loan, real estate, and crypto data, then lets Rai answer questions like stock option exercises or large purchase runway in seconds. That makes AI useful as a first responder because it has the client context, not just a generic chatbot prompt.
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• The economic impact is sharper at Range than at a traditional wealth manager because pricing is fixed at $2,400 to $8,955 per year. When advisor workload per client falls, gross margin expands immediately, instead of revenue merely rising with market levels or asset balances.
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• Comparable firms show the split in the market. Facet packages subscription planning with tax services for more than 24,000 members, while Savvy uses software to help human advisors run bigger books. Range is pushing further toward AI doing the repetitive service layer itself, which can support higher client to advisor ratios.
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The next step is for Rai to move from deflecting support into selling more of the stack. As Range adds predictive tax work, equity compensation modeling, direct indexing, and eventually broker-dealer economics, each successful AI interaction can increase both advisor capacity and revenue per member, making scale show up in both margins and wallet share.