
<p>8Flow CEO Boaz Hecht draws parallels between autonomous vehicle development and enterprise automation advancement.</p>

<p>Similar to how self-driving cars adapted through real-world testing, AI-powered hyperautomation must evolve and improve continuously. The path to fully autonomous enterprise workflows shares surprising similarities with the journey toward self-driving vehicles.</p>

<h2>Key Challenges</h2>

<ul>
<li><strong>Brittle systems:</strong> Traditional automation lacks the flexibility to handle real-world variation</li>
<li><strong>Black-box AI:</strong> Implementations that lack transparency erode trust and hinder adoption</li>
<li><strong>Data security:</strong> Vulnerabilities become critical risks during enterprise-wide scaling</li>
</ul>

<h2>The Vision</h2>

<p>The future belongs to automation systems that learn from actual team workflows and generate compounding value over time. Just as self-driving cars get better with every mile driven, enterprise automation should improve with every workflow observed.</p>

<p>Read the full analysis on <strong>LinkedIn</strong>.</p>
