We built Bond, an internal AI platform that helps our engineers with documentation, incident response and CI/CD investigation. To do that well it builds a temporal knowledge graph of who actually answers what, how confident that signal is and how it changes over time. We built it to improve Bond's responses; it produced something we didn't plan for and revealed a preference map of how engineering knowledge actually flows in the organization which (un)surprisingly looks nothing like our org chart. This talk is about the gap between the two, why it matters and what every internal AI platform is already telling you about your team if you look.
I'm a Platform Engineer at Klaviyo, where I've spent the last four years building developer infrastructure across site reliability, DevOps, and AI enablement as the team has reorganized. My current focus is Bond, Klaviyo's internal AI platform and STEP our ephemeral test environment system…
