Use cases
Finance, Procurement, Legal

Contracts auto-renewing in the next 60 days

Auto-renewals on the horizon, ranked by internal sentiment.

Best for
Procurement standup
Primitives
  • Contracts
  • Renewals
  • Sentiment
Side by side

Token Usage, with and without Sentra

~98k tokens saved75% less work for the agent

Without Sentra
~130k tokens
With Sentra
~32k tokens
Claude (without Sentra)
  1. Pull every contract with an auto-renew clause from the contract management system.
  2. Filter to those with renewal dates in the next 60 days.
  3. For each vendor, re-process internal interactions over the last 12 months to compute aggregate sentiment.
  4. Pull billing data for the contract value.
  5. Search procurement records for the last approver.
  6. Sort by value × inverse sentiment.
  7. Compose the table and the top-three deep-dive.
~130k tokens
Claude + Sentra
  1. Filter Contracts where auto_renew = true and renewal_date < 60 days.
  2. For each, attach Vendor aggregate sentiment, contract value, owning Actor, last approver — all typed.
  3. Sort by value × (1 - sentiment).
  4. Compose the table and the top-three concerns.
~32k tokens
Agent prompt
You are scanning for auto-renewals in the next 60 days.

Using Sentra:

1. Pull every Contract Value Object with an auto-renew clause whose renewal date is within 60 days.
2. For each, attach: the dollar amount, the internal owner, the last approver, and the aggregate internal sentiment on the vendor.
3. Sort by dollar amount × inverse sentiment so the most expensive low-confidence renewals surface first.

Output:

- A table: vendor · contract value · renewal date · sentiment · owner · last approver.
- A short summary of the top three "should we be auto-renewing this?" candidates, each with the two strongest quoted moments of internal concern.

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