A product manager at Kogan.com shares how AI has become embedded in day-to-day product work across five areas: scheduled background automations (ticket triage, squad reports, stakeholder updates via Claude Cowork), customer session analysis using FullStory, meeting capture with Granola, team skill building through reusable prompt patterns, and direct codebase exploration. The author also describes personally implementing tickets using Claude Code and Cursor despite limited development background, freeing engineering capacity and deepening system understanding. A practical three-part test (repetitive, mundane, not decision-driven) is offered to identify automation candidates, with the overall message that AI reduces coordination friction without displacing core product judgment.
Table of contents
Task scheduling delivers compounding valueCustomer session analysisMeeting notes and action trackingSkill building that scales across the teamCodebase access has been the most significant shiftStepping beyond the traditional product remitPutting it into practiceClosing remarksSort: