Conversation failures have structure.
Some are obvious — a user expressing frustration or confusion. But most aren't.
The AI contradicts itself without acknowledging it.
A user rephrases the same question three times.
The AI confidently gives wrong information and the user just moves on.
There's a gap between what the user expected and what the AI was set up to do. These patterns show up across every domain we've studied. We've spent years mapping how AI conversations break down and trained our models on over 100,000 real conversations to detect exactly these signals. That's what enables Bigspin to process your transcripts and surface real problems from day one.
Explore. Hypothesize. Validate. Report.
Bigspin doesn't just scan your transcripts once and spit out tags. Our agent reads through your conversations in multiple passes — first getting a lay of the land, identifying where things are going wrong and how severely. Then it zooms in on the most critical conversations, reads them carefully, and starts forming hypotheses: what are the recurring failure modes? What patterns connect these issues?
Once it has hypotheses, it goes back to the evidence — re-reading transcripts to validate each pattern, pull supporting quotes, and understand the full picture of what's happening and why. The result isn't a list of flagged conversations. It's a set of validated findings, ranked by impact, each backed by real evidence and bundled into a report you can actually hand to leadership.
The result: a report that shows you what matters — and an AI assistant that can go deeper.
The report is built to share with leadership as-is — clear problem statements, key evidence, linked transcripts, and concrete recommendations. And the AI assistant that created it stays with you. It can answer follow-up questions, do deeper dives on specific categories, and run the same analysis on demand. It's not a chatbot bolted on. It's the same system that built the report, ready to keep going.
Gets sharper the more you use it.
Bigspin delivers clear results from your first batch of transcripts. But as your team starts engaging — commenting on flagged conversations, adding context, refining what matters most for your product — the system keeps learning. Over time, Bigspin captures the nuances of what quality really means for you, so every report gets more precise and more relevant.
