Use cases
Finance, Procurement, Legal

Verbal commitments that conflict with the contract draft

What sales promised on the call vs. what made it into the paper — flagged before signature.

Best for
Contract close
Primitives
  • Commitments
  • Contracts
  • Diff
Side by side

Token Usage, with and without Sentra

~57k tokens saved60% less work for the agent

Without Sentra
~95k tokens
With Sentra
~38k tokens
Claude (without Sentra)
  1. Pull every call transcript, email, and Slack thread between our team and the customer during the deal cycle.
  2. Read each to identify verbal promises — discount terms, deliverable dates, exception clauses.
  3. Pull the current contract draft from Ironclad or Docusign.
  4. Manually diff each verbal promise against the written terms — present, missing, or contradicted?
  5. Categorize each gap by risk: high (legal / financial exposure), medium (scope clarification), low (nice-to-have).
  6. Compose the diff table with citations to verbal moments.
~95k tokens
Claude + Sentra
  1. Pull all verbal Commitments extracted from Interactions between our team and the account during the deal cycle.
  2. Pull the current contract draft.
  3. Diff each verbal Commitment against contract clauses — already segmented by clause type.
  4. Risk-rank each gap.
  5. Compose the diff table with Sentra citations.
~38k tokens
Agent prompt
You are reviewing the {{account_name}} contract before signature.

Using Sentra:

1. Pull every verbal Commitment Sentra extracted from meetings, threads, or emails between our team and {{account_name}} during the deal cycle.
2. Pull the current contract draft (Ironclad / Docusign / shared doc).
3. Diff the two: which verbal Commitments are reflected in the written terms, which are missing, and which written terms contradict what was said.
4. Categorize each gap by risk: high (legal exposure, financial commitment, deliverable date), medium (process / scope clarification), low (nice-to-have).

Output:

- A diff table: verbal commitment · source · status in contract · risk.
- A short paragraph: the one or two clauses that should be raised with legal before signature.
- Sentra citations for every verbal commitment so the legal team can verify the exact words.

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Subprocessors include Amazon Web Services, GitHub, Slack, Google Cloud Platform, and OpenAI.

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