FINANCE
Weekly FX Exposure Drift Narrative
Every Monday an agent pulls multi-week receivables exposure from BigQuery, writes a plain-English narrative explaining what drove the currency-mix drift and the hedging…
How it runs
The automated pipeline, trigger to output.
- TriggerMonday morning schedule
- ActionQuery trailing-weeks exposure from BigQueryBigQuery
- LogicRank material movers and infer drivers
- ActionDraft exposure-drift narrative
- OutputPublish to Confluence and link in SlackConfluence
What it does
This workflow produces the weekly FX exposure write-up treasury usually assembles by hand. An agent queries BigQuery for receivables exposure across the trailing several weeks, identifies which currencies gained or lost share and by how much, and reasons about likely drivers such as a regional customer ramp or a large settlement. It drafts a narrative covering the drift, the resulting unhedged position, and recommended hedge adjustments, then publishes the page to Confluence and drops a summary link in Slack.
When to use it
Use it when leadership wants context, not just numbers, and someone is spending an hour each Monday turning exposure tables into prose. It suits treasury and FP&A teams that maintain a running FX commentary page.
How it works
- 1A Monday schedule starts the run.
- 2The agent queries BigQuery for trailing-weeks exposure by currency.
- 3It analyzes share changes, ranks the material movers, and infers probable drivers from the data.
- 4It drafts a structured narrative with drift, unhedged position, and hedge recommendations.
- 5It publishes the page to Confluence and posts the link with a two-line summary to Slack.
Set it up
What you configure once, before turning it on.
- 1Connect BigQueryDatasets, queries, schemas.
- 2Connect ConfluenceSpaces, pages, blueprints.
- 3Connect SlackChannels, DMs, threads, mentions.
- 4Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 5Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 6Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
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Run this workflow in your colony.
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