FINANCE

Monthly FX exposure narrative brief for the CFO

At month-end an AI agent pulls receivables from Snowflake and charges from Stripe, builds a consolidated currency exposure picture.

CategoryFinance
Enginepaperclip
Difficultyadvanced
Triggerschedule
Steps5
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerMonthly close schedule
  • ActionQuery month-end receivables in SnowflakeSnowflakeSnowflake
  • ActionPull month's Stripe settlement activityStripeStripe
  • ActionAgent drafts exposure narrativeOpenAI
  • OutputEmail exposure brief to CFOGmailGmail

What it does

Numbers alone don't tell the CFO what changed or why it matters. This workflow consolidates FX exposure across booked receivables and live payment flows, then has an agent write a short narrative brief: where exposure grew, which currencies drove it, the margin impact of rate moves this month, and a recommended action. It turns a spreadsheet into a decision memo.

When to use it

Use it for the monthly close or board prep when you need an interpreted exposure summary, not just raw figures. Best when receivables live in Snowflake and a meaningful share of revenue flows through Stripe.

How it works

  1. 1A monthly schedule trigger runs near close.
  2. 2A Snowflake query returns end-of-month open receivables by currency.
  3. 3A Stripe call adds the month's settlement activity by currency.
  4. 4An agent step reconciles both sources, applies month-over-month rate changes, and drafts a narrative with the largest exposures and a recommendation.
  5. 5The brief is emailed to the CFO with a structured exposure table attached.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect SnowflakeWarehouses, queries, shares.
  2. 2
    Connect StripeCustomers, subscriptions, payments.
  3. 3
    Connect OpenAIModels, embeddings, files.
  4. 4
    Connect GmailRead, draft, send, label.
  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.

Run this workflow in your colony.

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