
A place for AI forward engineers and leaders
Watch sessions on building AI agents grounded in your governed data.


## The problemNPS data is rich but expensive to mine. An analyst exports the file, reads verbatim comments, hand-tags themes, calculates segment splits, and builds a slide deck — three to five business days per cycle. By the time leadership sees the report, the signal is stale and decisions get made on the last summary, not the current one.## What this app doesAn automated NPS intelligence workspace. Survey responses flow in on cadence and AI categorizes every verbatim comment by promoter or detractor and topic. The app surfaces a highlights and lowlights brief segmented by broker, department, or claim type — ready before the Monday leadership meeting. Analysts review only flagged or ambiguous comments, becoming validators rather than data wranglers, and the trend view replaces spreadsheet assembly entirely.## Key takeaways- AI categorization gives consistent, repeatable theme tagging- Highlights and lowlights brief delivered on cadence- Exception-only review frees analyst time for decisions- Annual reporting effort drops from sixty days to under ten## Who it's forCustomer experience leaders, voice-of-customer teams, and insurance or services executives whose NPS or survey programs run on manual analyst cycles today.