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Treasury · FX and Settlement · Hub

AI Agents for FX and
Bank Reconciliation

The same FX result comes from a rate that moved or an exposure that grew, and those call for opposite responses.

Key takeaways
  • An FX result reported as one number with one sentence attached is the least useful form of the information, because the same result has several possible causes.
  • Decomposing into rate effect, volume effect and timing effect is what makes the commentary actionable rather than descriptive.
  • Revaluation errors are scope errors. An account wrongly flagged as monetary moves every period, and a monetary account never flagged accumulates exposure silently.
  • The monetary flag is set once and rarely reviewed, so testing it against how the account actually behaves is the only reliable check.
  • In a multi currency group the bank reconciliation is the only place several FX errors are externally tested, which is why clearing it as hygiene work is expensive.

AI agents for FX decompose every result into rate, volume and timing effects, test which accounts should actually be revalued, and classify bank reconciling items by cause. ChatFin produces commentary that names a reason rather than restating the direction of a number.

This matters because the FX line is explained badly almost everywhere. A loss from a rate moving against a stable exposure is a hedging question. The same loss from an exposure that grew while rates were flat is an operations question. ChatFin separates them before anybody writes a sentence about the result.

TreasuryFX analysisFX revaluationBank reconciliationMulti currencySettlementHedgingAI agents for finance
01

Separate the rate movement from the exposure that moved

An FX result is reported as one number and explained as if it had one cause. It almost never does. The same result can come from a rate that moved against a stable exposure, or an exposure that grew while rates barely moved, and those call for opposite responses.

What changedWhat the result looks likeWhat should happen
Rate moved, exposure stableA lossReview hedging, not operations
Exposure grew, rate stableA lossReview why the balance grew
Both moved togetherA large lossTwo separate conversations
Rate moved, hedge in placeLittle or nothingConfirm the hedge worked
Timing of settlement changedAn unexplained varianceLook at the settlement date

ChatFin decomposes the FX result into rate effect, volume effect and timing effect before any commentary is written, because a single figure with a single sentence attached is the least useful form of this information.

In ChatFin

ChatFin decomposes every FX result into rate, volume and timing effects, so the commentary names a cause rather than restating the direction.

02

Revaluation errors hide in what was included

Period end revaluation is mechanically simple and quietly error prone, and the errors are almost always about scope rather than about arithmetic.

An account flagged as monetary that is not. It gets revalued every period and it should never move.
A monetary account not flagged. It never gets revalued and the exposure accumulates silently.
Intercompany balances revalued on both sides differently. Which produces a group level difference that consolidation then has to absorb.
A rate taken from a different source or time. Small per account and systematic, and it never reconciles to a published rate.
Balances in the entity's own currency. Revalued by accident where the currency field is blank rather than set.

ChatFin tests the monetary flag against the account's own behaviour rather than against its configuration, which is how a wrongly flagged account is actually found.

a stock ticker board of green and red numbers
Revaluation errors are scope errors, not arithmetic errors.
In ChatFin

ChatFin tests which accounts should be revalued from how they actually behave, rather than trusting the monetary flag that was set once and never reviewed.

03

Bank reconciliation is where FX errors are finally visible

Bank reconciliation is treated as a hygiene task. In a multi currency group it is the control that catches FX problems nothing else will, because it compares your record to an external one at a real settlement rate.

Reconciling itemWhat it usually revealsWhere else it would show
Small persistent differencesRate source mismatchNowhere
Difference on settlement dayBooked at the wrong date rateNowhere
Bank charges in another currencyNever accruedNowhere
A payment sent and returnedA beneficiary detail errorEventually, badly
Two entries netting to zeroA reversal, correctly handledIt is fine

Four of those five appear nowhere except the bank reconciliation, which is why a group that treats it as low value work loses the only place its FX handling is externally tested. ChatFin reconciles and classifies the differences by cause rather than clearing them.

In ChatFin

ChatFin classifies bank reconciling items by cause, which is where rate source and settlement date errors become visible instead of being cleared away.

04

Where this underperforms

Three.

Rates are not stored with the transaction. If only the converted amount is kept, rate and volume effects cannot be separated after the fact.
Hedge documentation lives outside finance. Then the effectiveness question cannot be answered from the ledger and this becomes a documents exercise first.
The group is effectively single currency. With one trading currency and minor foreign balances, this whole area is worth less than the time it takes to set up, and the honest answer is to say so.
Start by decomposing the last four FX results into rate, volume and timing. It uses data you already have and it usually changes what the commentary has been claiming.

Deeper in FX and settlement

Use cases under this hub, shown rather than linked while they are in build.

In build
FX analysis · Bank reconciliation · FX revaluation

Covered as sections here
Rate versus volume effect · Monetary flags · Reconciling item causes · Settlement timing

Questions treasurers ask first

Why decompose the FX result at all?

Because one number has several possible causes and they need opposite responses. A rate that moved against a stable exposure points at hedging. An exposure that grew while rates were flat points at why the balance grew. ChatFin splits the result into rate, volume and timing effects so the commentary can name one.

What goes wrong in period end revaluation?

Scope, almost always. An account wrongly flagged as monetary is revalued every period when it should never move, and a monetary account that was never flagged accumulates exposure with nothing reporting it. ChatFin tests the flag against how the account actually behaves rather than against its configuration.

Is bank reconciliation really a control worth automating?

In a multi currency group it is the only place several errors are externally tested, because it compares your record to a bank's at a real settlement rate. Rate source mismatches, wrong date rates and unaccrued foreign charges show up nowhere else. ChatFin classifies the differences by cause rather than clearing them.

How ChatFin works on FX

Name the cause, not the direction.

ChatFin decomposes FX results into rate, volume and timing effects and writes commentary against the cause it identified.

It tests revaluation scope from account behaviour and classifies bank reconciling items rather than clearing them.

Bring four periods of FX results. The decomposition takes an hour.

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Ashok Manthena
CEO and co founder, ChatFin

Ashok Manthena is the CEO and co founder of ChatFin, an AI agent platform for enterprise finance that runs across NetSuite, Acumatica, JD Edwards, SAP and Dynamics 365. He works with CFOs and controllers on governed automation of the close, payables, receivables and reporting. Connect on LinkedIn.

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Bring four periods of FX results.

We will decompose them through ChatFin into rate, volume and timing and show you what your commentary has been attributing them to.

✓Rate, volume and timing effects separated
✓Revaluation scope tested from account behaviour
✓Bank reconciling items classified by cause
Request a demo
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