DOCUMENT OPS

Build a payment-milestone calendar from master service agreements

On demand, reads an MSA or SOW from Dropbox, extracts every payment milestone and invoicing trigger with an LLM.

CategoryDocument Ops
Enginesim
Difficultyintermediate
Triggermanual
Steps6
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerManual run on a selected MSA or SOW
  • ActionDownload document from DropboxDropboxDropbox
  • ActionExtract payment milestones and amounts with OpenAIOpenAI
  • LogicSeparate fixed-date payments from triggered ones
  • ActionCreate Google Calendar series for dated milestonesGoogle CalendarGoogle Calendar
  • OutputReturn the milestone schedule

What it does

Given a master service agreement or statement of work, this workflow pulls out the payment schedule — fixed-date invoices, milestone-triggered payments, and recurring fees — and lays them onto Google Calendar as a dated series finance can act against, with the dollar amount and trigger condition in each event.

When to use it

Use it right after signing a deal with a non-trivial payment structure, when you want billing dates and amounts on a shared calendar so invoices go out on time and revenue forecasting reflects the actual contract terms.

How it works

  1. 1A manual run is started against a selected Dropbox file.
  2. 2The MSA or SOW text is downloaded and read.
  3. 3OpenAI extracts each payment milestone with its amount, due date or trigger, and invoice reference.
  4. 4A logic step separates fixed-date payments from condition-triggered ones, scheduling fixed dates and flagging triggers for manual placement.
  5. 5Google Calendar events are created for the dated milestones with amounts in the title.
  6. 6The run returns the full milestone schedule for review.

Set it up

What you configure once, before turning it on.

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

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