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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
ContractsRenewalsSentiment
Token savings
75%

The 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.

See it work

Run it from

ClaudeCursorChatGPTAny agent · MCP

How it runs

  1. 01Copy the prompt into any agent connected to Sentra over MCP.
  2. 02The agent reads the company memory, scoped to what you are allowed to see.
  3. 03One grounded answer comes back, with every line traceable to its source.

Or automate it with Actions

The same prompt runs as a Sentra Action: on a schedule, or on a semantic trigger. Output lands in Slack or email, and every send waits for your approval.

Trigger idea: procurement standup

Sentraover MCPRanked by spend × internal sentiment

Next 60 days · 5 auto-renewals

DataViz Pro · $48k · act

sentiment · 9 mentions

Negative sentiment, duplicate capability, alternatives already priced by two teams.

DeskSuite · $22k · shrink

usage + invoices

60% of seats show no activity in 90 days.

CloudRelay · $30k · keep

threads

Neutral-to-positive, load-bearing in two services, no complaints on record.

Plus two small

$6k combined, no signal either way; renew and ignore.

The prompt above becomes this. Fictional data, real mechanics: every line cites the meeting, thread, or record it came from.

Without Sentra

  1. 01Pull every contract with an auto-renew clause from the contract management system.
  2. 02Filter to those with renewal dates in the next 60 days.
  3. 03For each vendor, re-process internal interactions over the last 12 months to compute aggregate sentiment.
  4. 04Pull billing data for the contract value.
  5. 05Search procurement records for the last approver.
  6. 06Sort by value × inverse sentiment.
  7. 07Compose the table and the top-three deep-dive.

~130,000 tokens

With Sentra

  1. 01Filter `Contracts` where auto_renew = true and `renewal_date` < 60 days.
  2. 02For each, attach `Vendor` aggregate sentiment, contract value, owning `Actor`, last approver — all typed.
  3. 03Sort by value × (1 - sentiment).
  4. 04Compose the table and the top-three concerns.

~32,000 tokens

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