Sumarity
Banking and payments

Nostro and vostro reconciliation

Reads correspondent statements (MT950, camt.053), internal bookings. Produces reconciled accounts, breaks chased. Code works out every figure, the Judgement Engine answers the narrow questions, and whatever stays uncertain goes to a person.

What it decides

Narrow questions, each with a check behind it.

Which statement line matches which booking

Proven by code. Code proves the answer from the data itself: totals tie, a match is exact, the quote is on the document. Most of these judgements settle without a person.

ReadsCorrespondent statements (MT950, camt.053), internal bookings
ProducesReconciled accounts, breaks chased
Who signsA person on your team, with every figure traced to its document and every call on record
ProcessReconciliation and matching
IndustryBanking and payments
See it run

Every line, decided where it's safest.

An example run. Each stage lights up as a line is decided there; pick a stage to see its lines.

Nostro and vostro reconciliation · example run Example run
Value dateStatement lineAmountDecided by
02.09MT950 CORRESPONDENT 4471Matches our booking, same reference1,250,000.00Code · matched
02.09FX SETTLEMENT USDOur side booked at trade date · 0.95 · deal number named740,000.00Engine · proven
03.09FEES SEPTCorrespondent fees, expected range · 0.91−320.00Engine · proven
03.09UNKNOWN CREDITNo booking, no reference18,000.00To a person
04.09COUPON BOND-0012Coupon on the holding, exact62,500.00Code · matched
Settled 4 To a person 1 Settled wrong 0
Illustrative lines. Amber rows are the Judgement Engine's calls; each settles only above its cutoff and when its check agrees.
What it could save

Your volumes in. Your hours out.

In our tests, between 24% and 42% of items still went to a person after tuning. Set your own share; a pilot measures it on your data.

By hand today80 ha month
With Sumarity24 ha month, for the items people decide
Saved56 hCHF 53,760 a year
Questions

What buyers ask

What happens when Sumarity isn't sure?

Nothing settles below the cutoff, or when the check disagrees. The item goes to a person in the inbox with what the engine saw, its best answer and the runner-up. The person's ruling is kept and tunes the next run.

How are its judgements checked?

Code proves the answer from the data itself: totals tie, a match is exact, the quote is on the document. Most of these judgements settle without a person.

Can we change it to fit how we work?

Yes. Start from this workflow and describe your differences in plain words. The design assistant revises it, the validator checks it, your expert reviews it on the canvas, and your admin publishes it.

Does it read our files as they are?

Yes: spreadsheets and CSV in any layout, PDFs, bank formats and e-mail attachments. Sumarity suggests how each column maps, proves the mapping on a sample and remembers it once a person confirms it.

Where does our data go?

Sumarity runs in Zurich. Your data, backups and logs are stored in Switzerland.

How does it get better?

Your team's rulings become an answer key. Better questions and cutoffs are proposed, tested on data they haven't seen, and published only when your admin approves. It improves itself, with permission.

Start from this workflow. Run it on your data.

A pilot runs alongside your own process for a few weeks, at our cost, and ends in a line-by-line comparison.