Recurring objections across mid-market deals

You're identifying patterns in why mid-market deals stall.

Using Sentra:

1. Pull entities around mid-market deals and stage in {evaluation, procurement, legal}.
2. Filter to Interactions where Sentra extracted a Decision or Rationale with polarity = "concern" or facet = "objection".
3. Cluster the extracted objections by theme using whatever clustering the Semantic Agent exposes — pricing structure, security review, integration depth, time-to-value, vendor consolidation, etc.
4. For each cluster, give the count, the three most-quoted phrasings, and the three accounts where it was loudest.

Output:

- Top 5 objection themes, ranked by frequency.
- For each: one sentence on what it actually means, three quoted phrasings with sources, and a suggested response we've used successfully in another account (cite the Interaction).