AI Takes Over Discovery Admin, PMs Shift to Decisions and Experiments

Continuous Discovery Is Becoming a Shared, AI-Assisted Team Practice

Bilendi’s AI upgrade for Bilendi Discuss adds Ask BARI plus automation for moderation, follow-up questions, translation, transcription, sentiment analysis, coding, summaries, and report generation. At the same time, reporting on continuous discovery shows engineers joining PMs directly in customer interviews, experiment design, and synthesis, usually inside a product trio with design. Together, these are the clearest signs that discovery is becoming easier to sustain because more of the manual work is being automated and more of the team is participating in the work itself.

This is a narrower shift than a full operating-model rewrite, but it matters: AI is reducing the time spent wrangling verbatims and building filters, while discovery is moving beyond PM-only review of research outputs. PMs still own strategy and interpretation, but the execution of discovery is spreading across the team.

For product managers, the job is tilting toward framing sharper questions, facilitating synthesis, and turning faster AI-assisted insight into decisions with engineers and designers already in the room.