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AI CRM Founder - SaaS, Scaling & ROI

AI CRM Founder - SaaS, Scaling & ROI

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What does it take to build an AI-powered software business where the technology actually delivers a return?In this episode of The Upgrade Zone, Daniel Chrzastek sits down with Dori Shabat, Co-Founder and CEO of CallMarker, to unpack the journey behind an AI-powered sales platform built long before ChatGPT made AI mainstream.They explore how CallMarker grew from a real problem inside Dori's previous advertising business, how the first customers came onboard before the MVP was finished, and what Dori has learned about product development, sales, team building, scaling and AI along the way.In this episode• Why solving a real problem matters more than building a perfect product• Selling an MVP before it is finished and using customers to shape development• How AI can identify hidden revenue opportunities across sales and customer interactions• Building a founding team around complementary strengths• Scaling a bootstrapped SaaS business without losing service quality• Why Dori believes revenue is one of the most important measures of whether business software actually works• In-house development, beta testing and learning from failure• Where automation should replace repetitive work and where AI should enhance people instead• Why the future of sales may be less about replacing salespeople and more about making each person significantly more effectiveAbout Dori ShabatDori Shabat is the Co-Founder and CEO of CallMarker, an AI-powered platform built to help sales teams operate more effectively.His journey into the business started with an advertising agency serving close to 1,000 customers. After seeing businesses struggle to follow up with leads consistently, Dori and his team began looking at how technology could manage more of the process and help salespeople focus their time where it matters most.The businessCallMarker was built around a simple problem: generating leads is only useful if businesses can actually turn those opportunities into conversations and revenue.The platform brings together CRM functionality, communications and AI to help sales teams manage leads, prioritise activity and identify opportunities that might otherwise be missed.Dori also shares the realities behind building the company, from bootstrapping and finding the right co-founder to hiring teams, expanding from Israel into the UK and learning which systems and processes need to change as a company grows.The tech behind the businessAI has been part of CallMarker's approach from the beginning.The system uses data from sales and customer interactions to understand what is happening across the customer journey, prioritise activity and identify opportunities for additional revenue.One example discussed is Decode Revenue, which looks for opportunities hidden inside existing sales, marketing and customer service processes and can recommend or automate the next action.But the conversation goes beyond automation.For repetitive tasks, AI may be able to handle much of the work itself. For more complex interactions such as selling, Dori sees the future as people enhanced by AI, with technology giving salespeople better context, information and guidance before and during customer conversations.Key takeawaysSell before you overbuild.Dori sold the first version of the product using a presentation before the MVP was complete. Paying customers provided much stronger validation than building against assumptions.Build around complementary strengths.Dori focused on marketing, sales and revenue while his co-founder focused on technology and product. Their responsibilities were deliberately different.Scale the process, not just the product.Growth required documented processes, clear metrics and eventually handing responsibility to people who could outperform the founders in specific roles.Measure technology by business outcomes.Rather than focusing only on software features or time saved, the conversation repeatedly comes back to revenue and whether the technology produces a meaningful commercial result.AI does not have to mean removing people.Some repetitive processes can be automated completely. More complex work can become significantly more effective when skilled people have better information and AI support.You will not predict everything.Products break, customers behave differently than expected and assumptions turn out to be wrong. The advantage comes from learning quickly and improving each time.Episode chapters00:16 Meet Dori Shabat and CallMarker01:50 The problem that led to CallMarker07:36 Building and selling the first MVP11:03 Finding hidden revenue with AI15:03 Choosing the right co-founder21:19 Building a team and scaling beyond the founders26:55 Expanding from Israel into the UK31:49 The metric that matters when building a new product34:28 Designing a product for scale39:20 Growing as a founder alongside the business44:01 Productivity, focus and protecting your time47:50 Rapid growth vs sustainable growth48:34 Why Dori ...
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