Automate complex bank statement parsing and transaction-level cash flow reconstruction to detect hidden risks and make same-day credit decisions.
For many financial institutions, evaluating borrower liquidity remains one of the most labor-intensive parts of underwriting. Analysts spend hours working through months of bank statements, manually reviewing transactions, categorizing activity, and piecing together a picture of cash flow performance.
Transform raw bank statement activity into structured liquidity intelligence. By analyzing transactions, identifying behavioral patterns, and surfacing risk indicators automatically, underwriters have a clearer view of borrower financial health in minutes.
Automatically extract and classify transaction activity from bank statements to calculate key liquidity indicators, including average revenue, cash burn, net cash flow, and overall cash position.
Detect patterns that may signal elevated risk, including overdrafts, unusual deposit activity, recurring debt obligations, cash flow volatility, and other transaction-level behaviors that deserve closer review.
Create structured summaries of cash flow performance, spending behavior, and transaction trends that can be used directly within scorecards, credit reviews, and lending decisions.
Measure borrower activity against your institution's lending criteria and automatically highlights exceptions, policy deviations, and areas that may require additional review.
Maintain a direct connection between every calculation, insight, and risk signal and the original transaction record, allowing reviewers to verify findings with confidence.
Proven operational improvements from banks and alternative lenders using Uptiq's lending intelligence agents.

Extracts, standardizes, and spreads borrower financial statements automatically, delivering structured financial insights that complement Cash Flow.

Drafts robust credit memos in minutes by autonomously synthesizing financial spreads, loan documents, and external data into your custom templates, cutting prep time by 63%.
Purpose-built financial capabilities that work together to automate liquidity analysis and borrower evaluation.
Extracts and categorizes transaction-level activity to calculate revenue trends, cash flow performance, and liquidity position.
Identifies patterns such as overdrafts, unusual deposits, recurring obligations, and cash flow volatility.
Applies institution-specific underwriting criteria to ensure consistent evaluation and exception handling.
Provides complete source-level lineage for every transaction, calculation, and generated insight.
Flags anomalies, policy exceptions, and borrower behaviors that may require additional review.
With more than 100 pre-built integrations across core banking platforms, LOS solutions, CRM systems, and external data providers, Uptiq works within the systems your teams already use, automatically pulling information required to generate complete credit packages.
The Uptiq Cash Flow Agent helps financial institutions automate the process of analyzing borrower cash flow directly from bank statements and transaction data. Instead of manually reviewing months of account activity and calculating liquidity metrics by hand, lending teams receive structured, decision-ready insights within minutes. The agent extracts transaction-level information, identifies cash flow patterns, and highlights key financial trends that impact creditworthiness.
This enables lenders to evaluate borrower liquidity more efficiently, reduce manual effort, and make faster, more informed lending decisions.
The agent ingests bank statements from multiple accounts, financial institutions, and statement formats, then automatically extracts and standardizes transaction data. Using AI-driven categorization, it organizes deposits, withdrawals, transfers, debt payments, payroll expenses, and other cash movements into meaningful categories. The system calculates critical cash flow metrics such as average monthly inflows and outflows, net cash flow, burn rate, liquidity trends, and account volatility.
Additionally, it can also identify potential risk indicators, including recurring overdrafts, hidden debt obligations, declining balances, unusual spending patterns, and other behaviors that may warrant further underwriting review.
No. The Cash Flow Agent is designed to support underwriters by automating data-intensive analysis, not by replacing human decision-making. The agent performs transaction extraction, categorization, and financial calculations at scale, but underwriters remain responsible for evaluating the broader credit picture.
Lending professionals review the generated insights, consider borrower-specific circumstances, assess qualitative factors, and apply their expertise when making recommendations. By eliminating much of the manual analysis work, the agent allows underwriting teams to focus more of their time on risk assessment and credit judgment.
The agent is designed to integrate seamlessly into existing lending operations through more than 100 pre-built connectors and APIs. It can connect directly with Loan Origination Systems, core banking platforms, CRM solutions, document repositories, and open banking providers such as Plaid and MX. This allows transaction data and borrower information to flow automatically between systems without requiring duplicate entry or manual file transfers.
Lending teams can continue working within their current workflows while the agent performs Cash Flow and delivers insights where they are needed.
Most financial institutions can deploy the Cash Flow Agent and begin using it within days to a few weeks, depending on the complexity of integrations and workflow requirements. Uptiq manages the implementation process, including policy configuration, workflow alignment, system integrations, and testing. Because the solution is built to work alongside existing technology infrastructure, organizations do not need to replace their current systems or undertake lengthy transformation projects. This enables lenders to improve underwriting efficiency quickly while minimizing operational disruption.
Yes. The Cash Flow Agent is built for the security, governance, and compliance requirements of regulated financial institutions. Uptiq maintains SOC 2 Type II certification and applies enterprise-grade controls to protect sensitive borrower and transaction data. Every extracted transaction, categorization decision, and calculated metric is linked back to the original bank statement through a complete audit trail.
This level of traceability provides transparency for auditors, risk teams, and regulators while ensuring confidence in the accuracy and integrity of the underlying analysis.
Absolutely. Every financial institution evaluates cash flow differently based on its lending policies, risk appetite, and underwriting standards. The Cash Flow Agent can be configured to align with those requirements. Teams can customize transaction categories, risk rules, liquidity thresholds, alert triggers, exception handling criteria, and policy benchmarks.
The system automatically compares calculated cash flow metrics against your institution's guidelines and flags any deviations that require attention. This helps create a more consistent underwriting process while preserving the flexibility needed to support different lending products and borrower profiles.
Our team handles scoping, configuration, and go-live. Most financial institutions are in production within 5 business days, with no rip-and-replace of existing systems required.

