FINANCE

Daily FX exposure rollup with Slack threshold digest

Every morning, aggregates open multi-currency receivables from Snowflake, converts them to your base currency, and posts a per-currency exposure digest to Slack.

CategoryFinance
Enginesim
Difficultyintermediate
Triggerschedule
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerWeekday 7:00 schedule fires
  • ActionQuery open receivables grouped by currencySnowflakeSnowflake
  • ActionFetch spot rates and convert to base currencyHTTP webhook
  • LogicFlag currencies over threshold
  • OutputPost exposure digest to treasury channelSlack

What it does

Pulls all open, unpaid receivables from your Snowflake finance warehouse, groups them by currency, and converts each bucket into your reporting base currency using a live FX rate feed. It then compares each currency's net exposure against a configured threshold and posts a clean digest to a treasury Slack channel, highlighting currencies that crossed the line.

When to use it

Run this when treasury or FX teams need a daily, no-login snapshot of where currency risk is concentrated across outstanding invoices — without anyone manually exporting and pivoting a spreadsheet each morning.

How it works

  1. 1A scheduled trigger fires each weekday at 7:00 local time.
  2. 2A Snowflake query returns open receivables grouped by currency with summed amounts and invoice counts.
  3. 3An HTTP call fetches current spot rates and converts each bucket to base currency.
  4. 4A logic step tags any currency whose converted exposure exceeds its threshold.
  5. 5A formatted digest — totals, top exposures, and flagged currencies — is posted to Slack.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect SnowflakeWarehouses, queries, shares.
  2. 2
    Connect HTTP webhookTrigger any URL on agent actions.
  3. 3
    Connect SlackChannels, DMs, threads, mentions.
  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.

Run this workflow in your colony.

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