Harnessing AI as a Startup Chief of Staff: Balancing Innovation and Human Touch
Kristi Edleson uses an AI version of herself to manage her workload as a chief of staff at Yutori. She embraces the technology but draws the line at financial tasks.
Kristi Edleson, at 34, is navigating a unique frontier at Yutori, a startup in San Francisco. As the chief of staff, she's not just overseeing operations but also working alongside an AI version of herself. The ultimate irony, she quips, is that the company always aimed to create an AI chief of staff. Yet, human intuition still reigns supreme in her role, especially finances.
The Role of AI in Daily Operations
Edleson's journey to this position wasn't conventional. From a decade in recruiting, she pivoted to operational work in spring 2025. Knowing the founders from her time at Meta, she landed in a role that evolved into chief of staff. Now, she’s single-handedly managing tasks that the founders can’t tackle, from HR to compliance.
Her AI counterpart helps make easier manual tasks, especially when juggling multiple platforms like Slack and email. But, Edleson emphasizes the importance of oversight. She lets the AI draft communications but reviews them before hitting send. It’s a safeguard against potential missteps. The real challenge, she notes, is determining what tasks to outsource and what to keep in her cognitive domain.
AI in Vendor Negotiations
In a tech-driven environment, Edleson leverages AI to navigate complex vendor negotiations. She often uses her AI agent to avoid asking uninformed questions during these discussions. About 30 minutes prior to a vendor call, she queries her AI about the latest team sentiment on tools, allowing her to speak with authority.
The AI gathers insights from public channels, providing her with a comprehensive view. This enables her to approach negotiations with confidence, ensuring that the startup's technical infrastructure needs are met efficiently.
The Limitations of AI in Financial Tasks
However, there's a clear boundary for Edleson financial tasks. The risk of financial missteps holds her back from entrusting these responsibilities to AI. She acknowledges that the real bottleneck isn't the model, it's the infrastructure. An erroneous email is fixable, but financial blunders are costly and often irreversible.
Despite the advancements in AI, Edleson relishes maintaining control over strategic and financial decisions. She continues to personally handle these tasks, only using AI for verification. This approach keeps her actively engaged, ensuring her skills remain sharp in a rapidly automating world.
In an era buzzing with talk of job automation, Edleson finds empowerment in AI. It acts as a knowledgeable assistant, not a replacement. The question is, how much longer will others draw similar lines in the sand?
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