Episode Description
Your store’s phones are either making you money or quietly leaking it. We sit down with Viraj from Atlog to get past the buzzwords and talk about what AI actually does inside rent-to-own operations when the goal is simple: reach more customers, collect more consistently, and stop missing calls and texts.
We break down where Atlog started and why the first wedge was collections automation in the RTO space. Viraj explains how they learned the business by visiting dealers across the country, then turned that discovery into AI voice agents that can handle inbound calls, outbound outreach, and two-way texting. For RNR Tire Express locations, that means AI that can educate callers on the program, understand store availability, and book real appointments. Viraj shares real-world performance signals, including top stores seeing 15 to 20 extra leads per week per store, plus examples of how AI can eventually take payments by phone or text and even negotiate within dealer-approved ranges.
We also get into the stuff that makes dealers nervous for good reason: integrations, security, and compliance. Viraj explains why modern systems like Revo are easier to integrate via APIs, how Atlog connects to other tools like CRMs and texting platforms, and what “AI that won’t get you sued” looks like in practice, including TCPA rules and state-by-state dialing limits. If you’re weighing AI for rent-to-own collections, appointment scheduling, or inbound call handling, this conversation gives you the questions to ask and the guardrails to demand.
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