The Care Operator's Playbook for AI: Lessons from the frontier

AI adoption in high-stakes work tends to follow a predictable curve. First came simple autocomplete and isolated chat boxes, drafting an email, polishing a progress note, or pasting a summary into a record. It saves five minutes for an individual, but it doesn't change how a service actually runs.

The later stage looks entirely different: AI that can hold an end-to-end operational task across the systems you already use, cite its sources, show its working, and leave the judgment call to your team.

Software engineering lived through this shift two years before anyone else. They learned the hard way where automation creates leverage, where it breaks trust, and why transparency matters when the stakes are high. Care is approaching that exact same inflection point. With 10 years on the ground as care operators, we're looking at that playbook to separate the noise from the operational reality.

Join Kernl co-founders Jessica Timmins and Ben Armstrong for a 45-minute session unpacking how agents actually evolved in the real world, the practical lessons care services can safely borrow, and where human judgment has to stay in charge.