AI for banking that speeds up credit decisions and cuts operational loss

Where bank margin leaks

Credit decisions that wait on manual analysis while the customer goes elsewhere. KYC and onboarding reviewed document by document. Fraud and error found after the money has moved. Collections that treat every overdue account the same. Back office exceptions reconciled across systems by hand.

What we build for banks

Credit and risk decision systems with explicit rules, model assisted scoring and an audit trail your risk team can explain, decision systems for fraud and operational exceptions, and knowledge engineering so staff answer from policy with the source. Data stays in your infrastructure, under your access control.

Workflows we take into production

• Credit decisioning: applications assembled with the evidence, simple cases decided by rule and the rest routed to an analyst with a recommendation.
• KYC and onboarding: documents checked for consistency and missing items before a person reviews.
• Fraud and error signals: inconsistencies across transactions, accounts and history flagged before the money moves.
• Collections: overdue accounts prioritised by recovery likelihood, with the right approach for each.

Proof

At Banco BMG we embedded decision architecture at the exact point where the credit decision happens, inside the stack the bank already operates: +30% credit conversion.

Measured before it scales

Every engagement starts with what the problem costs today, what solving it costs and the net benefit. A Discovery + PoC from $18,000 proves the case on your data with success criteria agreed up front; we scale only when the evidence is stronger than the doubt.