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Redson Dev brief · COMPLEMENTARY MATERIAL

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The Self-Improving Company | Kavak's AI Playbook

a16z Podcast · August 10, 2026

This brief explores how the integration of AI agents can fundamentally transform business operations, unlocking unprecedented efficiency and competitive advantage for your organization. The a16z podcast discusses how Kavak, a Latin American used-car marketplace, radically restructured its entire business around AI agents, not just by providing employees with AI tools, but by redesigning core systems, teams, and customer interactions to leverage these agents. The result has been a significant shift, with nearly all customer interactions and transactions now handled by AI, leading to AI agents outperforming human teams and even an AI “CEO” driving substantial profit increases. For founders, developers, and operators in the United States, this paradigm shift has profound implications. Consider a small e-commerce shop in Austin, Texas, struggling with customer service inquiries after hours; instead of hiring additional staff, they could deploy AI agents to handle 90% of common questions, freeing human agents for complex issues and improving customer satisfaction around the clock. An internal IT team at a mid-size manufacturing company in Detroit might use agents to automate routine support requests, from password resets to software installations, significantly reducing response times and allowing human technicians to focus on strategic infrastructure projects. Even a logistics startup in Chicago could embed AI agents into their dispatch system to dynamically optimize delivery routes and handle real-time customer updates, dramatically cutting operational costs and enhancing service reliability. To begin capitalizing on this shift, consider identifying one repetitive, high-volume process within your own operations that currently consumes significant human effort. Spend this week outlining the decision tree and common exceptions for that process. Then, identify a straightforward tool or platform that allows for rule-based or basic conversational agent deployment, and attempt to automate just the initial 20% of that workflow.

Source / further reading

Learn more at a16z Podcast