Uptiq takes the manual effort out of intake, cash flow analysis, and underwriting so the same team decides faster on more files, with your team making every call.
















































Uptiq's SMB Lending solution is designed to help financial institutions automate and streamline the entire small business lending lifecycle. Rather than addressing a single task, the platform combines specialized AI agents that support borrower intake, business onboarding, document collection, cash flow analysis, underwriting, portfolio monitoring, and ongoing relationship management.
These agents work together through a shared data and policy framework, creating a connected workflow from application through portfolio management. Institutions can automate individual bottlenecks or build a more comprehensive lending operation without replacing their existing systems and processes.
The SMB Lending suite includes several purpose-built AI agents, each designed to solve a specific operational challenge. These include the Intake Superagent for borrower onboarding and document collection, the Business Deposit Account Opening Agent for account setup workflows, the Underwriting Superagent for financial analysis and credit decision support, the Cash Flow Analysis Agent for transaction-level liquidity assessment, the Business Analytics Agent for deeper borrower insights, and the Continuous Monitoring Superagent for ongoing portfolio oversight.
Together, these agents create a unified operating layer that helps institutions improve efficiency across the lending lifecycle.
Uptiq's Cash Flow Analysis Agent automatically extracts and analyzes transaction-level activity from borrower bank statements and financial records. The system categorizes deposits, withdrawals, transfers, payroll expenses, debt payments, and other cash movements to build a complete picture of a business's financial behavior. It calculates important metrics such as average monthly cash flow, liquidity trends, account volatility, and spending patterns while identifying potential risk indicators like recurring overdrafts or unusual transactions.
The result is a structured, underwriting-ready cash flow assessment that can be generated in minutes rather than hours of manual review.
Yes. Uptiq is designed to work alongside your existing technology environment rather than replace it. Through more than 100 pre-built integrations and APIs, the platform can connect with core banking systems, loan origination platforms, CRM applications, document repositories, accounting software, open banking providers, and other operational tools.
Information can move automatically between systems, reducing manual data entry and eliminating the need to maintain multiple disconnected workflows. Teams continue using the systems they already know while AI agents automate and accelerate work behind the scenes.
Deployment timelines are designed to be measured in days and weeks rather than months. Many institutions implementing a single agent can be operational within five business days, while broader multi-agent deployments are often completed within 30 days depending on workflow complexity and integration requirements. Uptiq manages implementation activities such as workflow configuration, policy setup, integration mapping, testing, and deployment support. Because the platform integrates with existing infrastructure, institutions can modernize lending operations without undertaking large-scale technology replacement projects.
Yes. Uptiq is built specifically for the security, governance, and compliance requirements of regulated financial institutions. The platform maintains SOC 2 Type II certification and incorporates enterprise-grade controls to protect sensitive borrower and financial data. Every calculation, recommendation, workflow action, and AI-generated output is supported by a complete audit trail and traceable source references. This level of transparency helps institutions satisfy internal governance requirements, regulatory expectations, and audit standards while maintaining confidence in the accuracy and integrity of AI-assisted processes.
Absolutely. Many financial institutions begin by addressing a specific operational bottleneck, such as borrower intake, cash flow analysis, underwriting, or portfolio monitoring. Once value has been demonstrated in one area, additional agents can be introduced gradually as business needs evolve. Because all agents operate on the same platform and policy framework, expanding into new workflows does not require starting over or implementing entirely new systems.
This modular approach allows institutions to modernize lending operations at their own pace while continuing to build on previous investments.