FINANCE

Month-end deferred-revenue waterfall reconciliation to Coda

On a month-end schedule, recomputes the expected deferred-revenue balance from all active contracts in Snowflake, reconciles it against the recognized total.

CategoryFinance
Enginesim
Difficultyintermediate
Triggerschedule
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerMonth-end close schedule
  • ActionQuery active contract schedules from SnowflakeSnowflakeSnowflake
  • LogicCompute expected balance and flag variances
  • ActionBuild reconciliation roll-forward table
  • OutputPublish close-ready reconciliation to CodaCodaCoda

What it does

At close, finance must prove that the deferred-revenue balance on the books equals the sum of every contract's unreleased schedule. This workflow rebuilds the expected ending balance from contract-level schedules in Snowflake, compares it to the recognized-to-date total, and surfaces any contract whose schedule drifted — typically from an amendment that was never re-waterfalled.

When to use it

Use it as part of your monthly revenue close to replace the manual tie-out between the GL deferred-revenue balance and the contract subledger. It catches stale schedules before they become an audit finding.

How it works

  1. 1A month-end schedule trigger fires after the close cutoff.
  2. 2It queries Snowflake for every active contract's full release schedule and the recognized-to-date amount per contract.
  3. 3A logic step computes the expected ending deferred balance and flags contracts where scheduled minus recognized does not foot.
  4. 4It builds a reconciliation table: contract, expected balance, recognized, variance, and a stale-schedule flag.
  5. 5The table and a roll-forward summary are written to a Coda doc the controller reviews, with flagged rows pinned to the top.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect SnowflakeWarehouses, queries, shares.
  2. 2
    Connect CodaDocs, packs, automations.
  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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