Custom AI for the Work Behind Every Financial Decision
We build AI systems for banks, lenders and wealth firms that screen, decide, reconcile and report — with the evidence trail your examiners and model risk committee expect.
How it works
Most financial institutions do not have an AI problem — they have an operations problem that AI happens to solve. Analysts re-key documents into core systems, compliance teams work through alert queues that are 90% noise, and finance closes the books on spreadsheets nobody can audit. We build the software that absorbs that work, deployed inside your environment, with model documentation, human checkpoints and full decision lineage. (Looking for client-facing pipeline and relationship management instead? That is our Financial Services CRM.)
Onboarding, KYC and AML Screening
Turn document collection, entity resolution and watchlist screening into one reviewed pipeline instead of six disconnected steps.
- Extraction from IDs, formation documents, trust deeds and bank statements
- Sanctions, PEP and adverse media matching with name and transliteration variants
- Beneficial ownership unwinding across corporate layers
- Risk-tiered routing so analysts see the 10% of cases that need judgment
Credit Decisioning Support You Can Explain
Models that assemble the underwriting picture and show their reasoning, while the credit decision stays with your officers and policy.
- Spreading of financials, tax returns and bank data into your credit template
- Reason codes and feature attributions attached to every score
- Policy rules kept in your control, versioned and testable
- Adverse action support with the specific factors behind each outcome
Model Governance and Audit Trails
Every model we ship arrives with the documentation, monitoring and controls your second line and regulators will ask for.
- Model cards, validation packs and change logs aligned to SR 11-7 practice
- Drift, stability and fairness monitoring with alerting thresholds
- Immutable decision records: inputs, version, output, reviewer, timestamp
- Role-based access, SOC 2 controls and data residency in your cloud
Where teams use it
Built for real revenue work.
Reconciliation and Exception Handling
Match transactions across core banking, custodians, card networks and the general ledger, then group the breaks that remain by likely cause. Teams work a short exception queue instead of scrolling spreadsheets.
Transaction Fraud and Anomaly Detection
Scoring models that read behavior, device, counterparty and velocity signals together, tuned to cut alert volume without losing recall. Analysts get the narrative behind each flag, not just a number.
Regulatory Reporting Packs
Assemble SAR narratives, call report inputs and internal risk reporting from source systems, with figures traceable back to the underlying records. Reviewers approve and sign rather than rebuild.
“The part that convinced our regulator was not the accuracy — it was being able to click any decision and see the exact inputs, model version and reviewer. Our analysts now spend their time on the genuinely hard cases.”
FAQ
Questions, answered.
Will examiners accept AI in our compliance and credit workflows?
They accept documented, governed models with human accountability. We build to that standard by default: model documentation, validation evidence, versioning, monitoring and a decision record for every output. Automated steps handle preparation and scoring, while approvals stay with named people under your existing policy.
Do you need our production data to start?
No. We typically start with masked or synthetic samples during design, then move to your data inside your own cloud tenant or VPC. Nothing is used to train third-party public models, and data residency requirements are set before the first line of code is written.
How does this fit with our core banking and loan origination systems?
It sits alongside them. We integrate through the APIs, file drops or database views your platforms already expose — including Fiserv, FIS, Jack Henry, nCino and Salesforce — and write results back into the system of record. No core replacement and no change to your ledger of truth.
What does a project cost and who owns the result?
Projects are quoted at a fixed cost against a defined scope, with a dedicated team and delivery in four to twelve weeks depending on the number of workflows. You own the code, the models and the infrastructure they run on. There is no per-seat licence and no lock-in to our hosting.
Keep exploring
More from the Leadify platform.
Put your compliance and finance ops on a shorter clock
Bring us one workflow that eats your team's week and we will scope a fixed-cost build with the governance already included.