From data to decisions to action: How agentic AI is powering the always-on startup
At the Snowflake Startup Mixer in Hyderabad, founders, operators, and investors explored how AI is moving beyond automation to become an always-on operating layer.
On July 17, tech executives and investors convened in Hyderabad for the Snowflake Startup Mixer, focusing on "From Data to Decisions to Action." A panel discussion, titled "Always-on startups: Building companies that never sleep," delved into how companies transition from data collection and analysis to creating AI-driven systems capable of independent action.
Moderated by Shivani Muthanna, the conversation featured Uttkarsh Sharma from Pocket FM, Kishore Indukuri of Sid's Farm, Abhishek Deshpande of Recykal, and Kiran Kalluri of Dallas Venture Capital.
"Always on" does not imply constant employee labor, according to the panelists. Instead, it signifies constructing systems that maintain critical operations even when human teams are offline. Pocket FM employs AI to support content creation across various countries, enhancing workflow without replacing human creativity. Sid's Farm utilizes AI to manage thousands of daily deliveries and customer interactions, interpreting data in real-time to prevent minor issues from escalating. Recykal's operations are round-the-clock, with AI optimizing supply chain decisions continuously.
Investors differentiate companies that merely use AI tools from those fundamentally built around AI-driven operations. While some companies simply integrate AI for efficiency, others restructure their entire business model to become AI-native. Recykal exemplifies this shift, embedding AI in every business function and generating impressive growth. Pocket FM and Sid's Farm similarly integrate AI into creative processes and customer-facing operations, emphasizing that AI accelerates production rather than supplanting it.
For investors, key indicators of long-term scalability include owning unique data, developing robust workflows, and embedding AI across all aspects of the business. However, human judgment remains indispensable, especially for critical decisions. Despite AI's efficiency, the panelists emphasized the need for human oversight to ensure that AI outputs are aligned with business objectives.
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