Banking
Connect customer, account, transaction, and finance data so operations and risk teams can work from consistent definitions. These workflows address fragmented systems, time-sensitive exceptions, and decisions that need a clear evidence trail.
From a business question to the evidence behind it.
Try a banking workflow with synthetic data. Change a rule, inspect an exception, and follow the handoff to the next team.
KYC / AML investigation
Turn fragmented customer records into a reviewable investigation.
Try the interactive demoLoan & mortgage origination
Build a complete application package before the credit review.
Try the interactive demoTransaction reconciliation
Match the routine transactions. Investigate the exceptions.
Try the interactive demoInteractive demos use synthetic data and run in your browser.
Explore the use cases
Open a use case to see its inputs, working steps, review requirements, and opportunities to reduce repeated effort.
Credit risk and lending
Retail and commercial lending teams need a consistent view of a borrower across applications, existing facilities, repayment behavior, and collateral. Separate extracts and conflicting definitions make it difficult to explain an exposure, assess a changing risk profile, or reproduce the evidence behind a lending recommendation.
Explore the workflowBankingRegulatory compliance (KYC/AML)
Know Your Customer (KYC) and anti-money laundering (AML) teams must reconcile customer identities, ownership relationships, screening results, and transaction alerts across disconnected systems. Incomplete evidence and duplicate cases slow reviews and make it hard to distinguish a data problem from a matter requiring investigation.
Explore the workflowBankingCustomer experience and personalization
A bank may see a service complaint in one channel, a product inquiry in another, and an unresolved account issue elsewhere. Without a shared customer context, teams repeat questions, offer irrelevant messages, and cannot explain why an experience differs between digital and branch interactions.
Explore the workflowBankingIntelligent loan and mortgage origination
Loan and mortgage applications combine forms, income evidence, property information, valuations, and existing liabilities. Teams repeatedly re-enter document fields and chase missing items, while inconsistent values move between brokers, operations, underwriting, and the loan origination system.
Explore the workflowBankingAutomated trade finance document processing
Trade finance teams compare invoices, packing lists, transport documents, and credit terms that arrive in different formats. Repeated manual extraction makes it difficult to track mismatched parties, quantities, dates, currencies, and document versions across a transaction.
Explore the workflowBankingAutomated banking reconciliation
Operations and finance teams reconcile core banking transactions, payment and settlement feeds, bank statements, subledgers, and the general ledger. Different identifiers, cutoffs, reversals, fees, and exchange rates create recurring breaks that are difficult to assign and explain at period close.
Explore the workflowBankingRegulatory reporting and compliance automation
Regulatory reporting teams must assemble repeatable figures from lending, deposit, transaction, risk, and finance systems while maintaining an explanation of every transformation and adjustment. Spreadsheet handoffs, changing mappings, and unresolved source exceptions make each reporting cycle expensive to reproduce and review.
Explore the workflowBankingCustomer onboarding reconciliation
A customer enters through several channels, leaving conflicting identity records and incomplete onboarding evidence.
Explore the workflowBankingCredit portfolio early warning
Risk teams need to distinguish deteriorating payment behavior from reporting delays across lending systems.
Explore the workflowBankingFinancial crime investigation preparation
Investigators spend time assembling customer and transaction context before they can assess an alert.
Explore the workflowBankingLiquidity data reconciliation
Treasury receives balances and cash-flow projections with inconsistent cutoffs and product classifications.
Explore the workflowBankingPayment exception management
Failed or delayed payments appear in different operational systems without a shared view of their status.
Explore the workflowBankingBranch and channel capacity planning
Managers cannot compare demand across branches and digital channels when activity measures use different definitions.
Explore the workflowBankingCustomer consent and preference consistency
Different systems apply different customer contact preferences, creating inconsistent service and campaign lists.
Explore the workflowBankingCollateral valuation oversight
Loan and collateral records drift apart, making outdated valuations difficult to find across the portfolio.
Explore the workflowBankingBank profitability attribution
Finance teams report different profitability figures because product costs and customer relationships are allocated inconsistently.
Explore the workflowBring your own systems and business context.
Start with one approved dataset and a clear review owner. Validate the workflow with representative records, then expand it using your deployment's available connectors and controls.