FINANCE

Contract Renewal Spend Prep Pack

When a vendor contract nears renewal, it pulls that vendor's full spend and usage trend from BigQuery and assembles a negotiation prep pack in Coda with leverage points…

CategoryFinance
Enginesim
Difficultyintermediate
Triggerevent
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerCalendar event for upcoming renewalGoogle CalendarGoogle Calendar
  • ActionPull vendor lifetime spend and usageGoogle BigQueryBigQuery
  • LogicClassify vendor as grow, hold, or cut
  • ActionDraft negotiation prep packOpenAI
  • OutputPublish prep pack to renewals workspaceCodaCoda

What it does

Triggered by an upcoming renewal date, this workflow gathers the vendor's complete spend history and usage trend from BigQuery, then builds a negotiation prep pack in Coda. The pack summarizes total spend, the trajectory, whether usage justifies the cost, and a recommended negotiating position with supporting leverage points.

When to use it

Use it when renewals sneak up and buyers walk into calls without history at hand. Wiring it to your contract calendar means every renewal gets a data-backed prep pack automatically, weeks ahead of the deadline.

How it works

  1. 1A calendar event for an approaching renewal triggers the run.
  2. 2BigQuery returns the vendor's lifetime spend, period-over-period trend, and usage metrics.
  3. 3A logic step classifies the vendor as grow, hold, or cut based on spend-versus-usage signals.
  4. 4OpenAI drafts the prep pack with leverage points and a recommended ask aligned to that classification.
  5. 5Coda publishes the prep pack to the renewals workspace and links it to the calendar event.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect Google CalendarEvents, attendees, availability.
  2. 2
    Connect BigQueryDatasets, queries, schemas.
  3. 3
    Connect OpenAIModels, embeddings, files.
  4. 4
    Connect CodaDocs, packs, automations.
  5. 5
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  6. 6
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  7. 7
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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