FINANCE

FX Receivables Hedge-Threshold Alerter

Pulls open foreign-currency receivables from Snowflake each morning, compares net exposure per currency against your hedge thresholds.

CategoryFinance
Enginesim
Difficultyintermediate
Triggerschedule
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerMorning schedule before market open
  • ActionQuery net FX receivables exposure by pairSnowflakeSnowflake
  • LogicCompare each pair to its hedge threshold
  • ActionCompute over-threshold and suggested hedge notional
  • OutputPost ranked breach alert to treasury SlackSlack

What it does

Every morning this workflow reads your open foreign-currency receivables from Snowflake, nets exposure by currency pair, and checks each pair against the hedge thresholds you maintain. When unhedged exposure crosses a limit (for example, EUR exposure exceeds 2M unhedged), it posts a structured alert to the treasury Slack channel naming the pair, the amount over threshold, and the suggested hedge notional.

When to use it

Run this when your team manages multi-currency receivables and needs a daily, deterministic check that nothing has drifted past policy before the FX desk opens. It replaces a manual spreadsheet pull and eliminates the risk of an unhedged position sitting unnoticed over a weekend.

How it works

  1. 1A morning schedule fires before market open.
  2. 2Snowflake query aggregates open receivables into net exposure per currency pair.
  3. 3A logic step compares each pair's unhedged exposure to its threshold row.
  4. 4If no pair breaches, the run ends quietly.
  5. 5For each breach, an action computes the over-threshold amount and suggested hedge notional.
  6. 6A Slack message delivers the ranked breach list to the treasury channel.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect SnowflakeWarehouses, queries, shares.
  2. 2
    Connect SlackChannels, DMs, threads, mentions.
  3. 3
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  4. 4
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  5. 5
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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