FINANCE

Cash-Position Morning Reconciler

Every morning, pulls yesterday's bank-cleared transactions and reconciles them against expected AR/AP in Postgres.

CategoryFinance
Enginesim
Difficultyintermediate
Triggerschedule
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerWeekday 7am schedule
  • ActionPull cleared bank txns + open AR/AP from PostgresPostgreSQLPostgres
  • LogicMatch transactions to expected invoices/bills
  • LogicCompute net movement and unexplained variance
  • OutputPost cash-position briefing to SlackSlack

What it does

Builds a single morning cash-position picture by matching settled bank activity to what finance expected to clear. It compares each cleared deposit and withdrawal against open AR invoices and AP bills, computes the day's net cash movement, and surfaces any transaction it could not tie to an expected line item as unexplained variance.

When to use it

Run this when your controller starts each day chasing balances across a bank feed and the accounting ledger. It replaces the manual spreadsheet tie-out with an automated briefing that lands before the standup, so unexpected debits or missing customer payments are caught early.

How it works

  1. 1A scheduled trigger fires each weekday at 7am in your finance timezone.
  2. 2Queries Postgres for yesterday's cleared bank transactions plus all open AR and AP records dated to settle.
  3. 3Logic step matches each transaction to an expected invoice or bill by amount, counterparty, and reference, tagging the remainder as unexplained.
  4. 4Computes opening balance, expected vs actual net movement, and closing cash position.
  5. 5Posts a formatted briefing to the finance Slack channel, with unexplained items called out in a dedicated section for follow-up.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect PostgresAny Postgres URL — query, write, migrate.
  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.

Run this workflow in your colony.

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