EP 2 | What Product Leaders Must Rethink in the AI Era

The hardest part of building AI products is deciding which workflow you’re willing to own.

On this episode of Builders, Aatish Nayak (Harvey) and Sachi Shah (Sierra) share how they’ve made those calls across legal and customer experience, and what they learned building systems customers rely on every day.

Highlights from the discussion:

• “Traditional product management says, pick a user, pick their use case, solve for their use case, make it super narrow.
• With AI, you can actually broaden out the number of use cases.” – Aatish Nayak, Harvey
• “You have to constantly re-earn product market fit all the time. Customer expectations change.” – Aatish Nayak, Harvey
• “We had this rule of thumb where every PM should talk to at least five customers a week. So I still try and stick with that personally, where there’s nothing that substitutes going directly to the customer.” – Sachi Shah, Sierra
• Sierra “SRE teams work with things like error budgets ’cause we’ve understood that a hundred percent uptime goal or reliability goal is not really a goal. And I think the same is true with agents, where you don’t wanna let perfect be the enemy of good.” – Sachi Shah, Sierra

Aatish Nayak X: https://x.com/nayakkayak LinkedIn:   / aatishn  

Sachi Shah X: https://x.com/SachiAShah LinkedIn:   / sachi-shah-26920336