

Financial Services
Your KYC packs still move by hand
We build ledgers, internal tools and document processing that run where your data lives, with an audit trail through every step.
Static rules fall behind. New schemes need models that learn from our data.
Head of financial crimeKYC packs, loan files and compliance reviews still move by hand.
Operations leadCore banking, CRM and spreadsheets do not talk, so decisions use partial pictures.
Head of dataRegulators ask where data lives and who can touch it. Per-seat SaaS cannot say.
Compliance officer
What changes first
Reconciliation stops eating the week
Breaks are raised with the matching evidence attached, so the queue is a decision list.
Packs arrive complete
Missing documents are requested before anyone opens the file, so the reviewer sees a case.
The audit question has an answer
Where the data sits and who touched it is answerable as a query.
Where the work leaks, and what we build
The ledger was never built for this volume
Double-entry ledger systems on TigerBeetle, whose published benchmark exceeds 1M transactions per second, with event streaming and audit trails designed in from day one.
Your engineers sign off the schema and reconciliation rules before anything posts.
The dashboard everyone uses is a spreadsheet
Back-office dashboards, reconciliation, and reporting built around your workflows. One fixed scope, then it's yours. No per-seat fees.
The people who do the work approve each workflow first.
KYC packs and loan files move by hand
KYC, loan files, and compliance documents processed on your infrastructure, with human review on every consequential decision.
A reviewer approves every consequential decision. Nothing files itself.
Static rules find the scheme too late
Models trained on your transaction patterns and deployed inside your boundary, a capability we build into the systems above, not a black-box score.
Your analyst confirms or dismisses every flag, and both decisions are recorded.
A week with the system
- Monday
- The reconciliation is already done, and the breaks are queued with the evidence attached.
- Tuesday
- A KYC pack arrives incomplete. The missing document is requested before anyone opens it.
- Wednesday
- An anomaly is flagged on a pattern nobody had a rule for.
- Thursday
- A loan file crosses the core and the CRM. The divergence is drafted.
- Friday
- The audit question lands: where does this data sit, and who touched it.
Illustrative example. Nothing here is a measured result.
What we would watch with you
| What we watch | How it is measured | Baseline |
|---|---|---|
| Reconciliation break rate and days to clear | Breaks raised against items reconciled, and median days to close. | Known as a month-end total, never decomposed by cause. |
| Onboarding pack completeness at first submission | Packs accepted without a request for further information. | Measured today by the reviewer's frustration, not by a number. |
| Back-office hours removed per week | Named people and hours on the task, before and after. | The easiest baseline to establish, and the one owners feel. |
| Anomaly-alert precision | Flags a reviewer confirmed as real, against flags raised. | The figure that decides whether the system survives. |
| Audit-question turnaround | Hours from a data-residency question to a documented answer. | Today it takes a project to answer. |
Questions finance teams ask
Can you build financial systems that keep data on-premise?
Yes. That is the default. Ledgers, document processing and analytics run on your servers or private cloud, designed for PCI DSS and UK GDPR alignment, with audit logging throughout.
How fast are the transaction systems you build?
It depends on your workload. We measure your engagement and build on TigerBeetle, whose published benchmark exceeds 1M transactions per second.
Do we own the system at the end of the engagement?
Yes. Code, schemas, models and documentation are yours, with a handover period included. Support contracts are available afterwards, but you are never locked in.

Talk through your architecture.
Bring your constraints: regulators, legacy core, data residency. A senior engineer gives you an honest read and a scoped quote.
Book a discovery call
