AI for Finance
AI in finance that an auditor can follow.
We build financial AI on the work that actually pays back: reading documents, triaging alerts, drafting compliance reports, and answering policy questions from your own approved sources — inside your cloud, with every decision logged.
Field accuracy
95%+
On tuned financial document extraction
Alert triage
Minutes
From queue arrival to scored recommendation
Deployment
Your VPC
Data residency and network isolation respected
Auditability
Every decision
Inputs, evidence, and outcome retained
What we build for finance teams
Document intelligence
Statements, invoices, contracts, and KYC packs parsed into structured fields with confidence scores and a review queue for the uncertain cases.
Fraud and AML support
Behavioural signals and pattern detection that rank alerts by risk, reducing false-positive review load while keeping the human decision in place.
Compliance reporting
Draft regulatory and internal reports from source data, with every figure traceable to the record it came from.
Forecasting and risk models
Cash-flow, churn, collections, and exposure models built on your history, with monitoring for drift after deployment.
Grounded internal assistants
Policy, product, and procedure answers for staff, cited from your own approved documents rather than generated from memory.
Controls and human review
Role-based access, approval checkpoints, PII redaction, retention rules, and full traceability designed in from day one.
Workflows worth automating first
Onboarding and KYC
Read identity and corporate documents, cross-check registries, flag mismatches, and hand a complete file to a compliance officer.
Transaction monitoring triage
Score and summarise alerts so analysts open the highest-risk cases first, with the supporting evidence already assembled.
Accounts payable automation
Match invoices to purchase orders, extract totals and tax lines, route exceptions, and post clean records to the ledger.
Collections and reminders
Prioritise accounts by likelihood of payment and run compliant reminder outreach with promise-to-pay capture.
Purpose-built vs. generic finance AI tools
| Dimension | Premium Robots | Generic tool |
|---|---|---|
| Deployment | Your cloud or VPC | Vendor multi-tenant SaaS |
| Decision handling | Scored recommendation + approval | Opaque automated output |
| Accuracy tracking | Continuous labelled evaluation | Launch-day claim |
| Audit trail | Inputs, evidence, outcome | Result log only |
| Document coverage | Tuned to your formats | Fixed templates |
Frequently asked questions
- How is AI used in finance?
- The reliable wins are document-heavy and rule-heavy work: extracting data from statements, invoices, and KYC packs; screening transactions for fraud and sanctions risk; drafting compliance and management reports; and answering internal policy questions from grounded sources with citations.
- Can AI be used safely with regulated financial data?
- Yes, when the architecture is designed for it. We deploy inside your cloud or VPC, keep customer data out of third-party training, redact PII before model calls where required, and log every decision with the inputs that produced it so an auditor can reconstruct it.
- How accurate is AI document processing for financial documents?
- On structured financial documents we target 95%+ field-level accuracy after tuning, with confidence scores routing anything uncertain to a human reviewer. Accuracy is measured continuously against a labelled sample, not claimed once at launch.
- Do these systems make automated decisions about customers?
- Only where you want them to. For credit, onboarding, and fraud outcomes we default to decision support: the system produces a scored recommendation with the evidence attached, and a person approves it. Full automation is enabled per rule, with thresholds you control.
- What does a first project look like?
- One narrow, measurable workflow — for example statement extraction or alert triage — delivered in 4-6 weeks with an accuracy baseline, a human review path, and a cost-per-document figure you can compare to today's manual cost.
Start with one financial workflow
Share a sample document set or alert queue and we will return an accuracy baseline, a review path, and a cost per item.