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In this episode of Aggaeus, Haggai Klorman Eraqi sits down with Dvir Ginzburg, Founder & CEO of Encore AI, for a conversation about revenue-generating AI agents, enterprise sales, customer delight, and why most AI projects fail when they move from demo to delivery.
Dvir started inside the world of recommendation systems, working for Meta and Microsoft.
But the more he worked on them, the more he realized something uncomfortable: he did not like the experience those systems created. People ignored banners. They ignored “you may also like” recommendations. They ignored offers that technically made sense but failed to guide them through a real decision.
Then ChatGPT changed what felt possible.
Instead of another banner or recommendation widget, Dvir saw a different future: AI agents that could guide customers through meaningful financial decisions like opening a deposit account, increasing credit, taking a loan, onboarding, collections, or other revenue-generating moments.
The idea sounds simple.
Help customers decide.
Increase conversion.
Automate revenue interactions.
But in enterprise AI, “almost right” is not good enough. A 90% accurate agent can still fail across a multi-step customer journey. Prompting alone breaks down. Rules contradict each other. Bad data leaks into the conversation. And the buyer does not care how good the demo looked if the agent fails in production.
Dvir explains why Encore’s approach is built around learning from top human performers inside the organization, not just stacking prompts. The goal is not to create another chatbot. It is to understand how the best bankers, loan officers, collectors, and relationship managers actually guide customers then turn that into AI agents that can drive real business outcomes.
In this episode, we cover:
• Why Dvir left Microsoft to build in the startup world
• Why recommendation engines stopped feeling good enough
• How AI agents can move from support deflection to revenue generation
• Why “90% accurate” can still fail in customer-facing conversations
• Why prompting alone is not enough for enterprise AI
• Why delighted first customers matter more than signing five messy ones
• How AI is changing the people, pace, and agency inside startups
This is a conversation about enterprise AI, customer trust, revenue, delivery, founder discipline, and the difference between building a great demo and building something customers can actually depend on.
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Aggaeus content is for informational and educational purposes only and should not be considered legal, business, investment, or tax advice. You should conduct your own research and consult qualified professionals before making any decisions.
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