BankValidate: Deterministic, Explainable Checks for Bank Identity Evidence

Reference-data quality is invisible until a single bad row stops a payment or holds up an onboarding. BankValidate is a small tool that reviews bank identity evidence the way a careful analyst would: deterministically, and with its reasoning shown for every flag.

Reference-data quality is invisible until it isn't. It stays out of sight right up to the moment a single bad row stops a payment or holds up an onboarding.

I built BankValidate to make that work visible and boring in the best way. It reviews bank identity evidence the way a careful operations analyst would: deterministically, and with its reasoning shown for every flag. You can try the live demo at https://bankvalidate.raafetchoukri.com" target="_blank" rel="noopener noreferrer">bankvalidate.raafetchoukri.com.

Each bad row is real friction

When a bank identity record is wrong, the cost is not abstract. It lands on payments and onboarding teams in three familiar ways:

- A transfer halts in the rail until the identity clears.
- A counterparty waits while the record is reconciled.
- Someone opens an investigation and works it by hand.

Multiply that across a portfolio and you get slow go-lives, growing exception queues, and a lot of manual repair that never shows up cleanly in a business case.

Every flag shows its work

BankValidate takes CSV records, previews the schema, and runs BIC and bank-identity checks through a deterministic core. The point is not just to say a row is wrong. It is to explain why.

For each flag you see the original value, the specific conflict, and the reason behind it. For example, when a BIC encodes one ISO country in positions 5 and 6 but the record states another country, the tool spells out exactly where the two disagree. A reviewer can read it, agree or disagree, and move on. An auditor can follow the same trail later.

Suggestions, not auto-fixes

The most important design choice is what BankValidate does not do. It does not quietly rewrite your data.

- Corrections are presented as suggestions. Nothing is changed for you.
- A human reviewer stays in the loop and approves every change.
- The check is deterministic, so the same input always produces the same result.

The useful tooling here is not a black box that guesses and overwrites. It is an explainable check that a person can trust and an organisation can defend.

A note on the public demo

The demo is deliberately scoped so you can explore it safely. It runs on synthetic records only, processes CSV text in memory, and does not call SWIFTRef, live directories, BDP, SSI, external providers, or any LLM. Please do not paste real customer, vendor, or bank data into it.

If the deterministic core is useful to you, the same logic can be wired into your onboarding and payment-routing flows on real reference data, with the controls and review steps your environment requires.

You can read more on the BankValidate project page, or get in touch if reference-data quality is costing you more than it should.

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Topics: Reference Data, Data Quality, BIC, Payments, Bank Identity, Validation