Lending Automation
Accelerate loan decisions, validate 100% of files, and orchestrate your LOS, documents, and data, without replacing the lending systems you already run.
The UiPath Solution for Loan Origination
Accelerate loan decisions, validate 100% of files, and orchestrate your LOS, documents, and data, without replacing the lending systems you already run.
Each UiPath Solution arrives as a configured workflow. Lending teams skip the custom build and start operating on day one. The Loan Setup and QA/QC modules cover the full origination lifecycle, with agents, robots, and people coordinated across each stage.
Run origination with fewer manual handoffs and a faster path to funding
Agentic AI reaches every team that touches a loan.
Consumer lending
Maestro routes documents, IXP extracts income and asset data, agents run DTI/LTV and apply underwriting logic, humans handle exceptions, robots update the LOS. Every step carries a full audit trail.
Commercial lending
Agents extract financial data from 1120-S returns, K-1s, and financial statements, validate against LOS fields, and run LexisNexis research. Analysts finalize credit judgment, not data entry.
Compliance
Automated policy checks run at origination, exceptions route for human review, remediation is tracked, and audit-ready QA reports are generated continuously rather than on monthly cycles.
Watch how AI agents, robots, and people coordinate across origination and QA.
Case study
The #1 wholesale mortgage lender in the U.S. cut invoice processing from 3 minutes to 30 seconds per loan and eliminated a 20% chunk of its email queue using UiPath Document Understanding™ and UiPath Communications Mining™.
90% of invoice processing automated
83% faster per-loan processing
50,000+ email queue items eliminated

WHITE PAPER
A compendium of agentic AI use cases across banking, lending, insurance, and capital markets, with the operational detail buyers actually want.

REPORT
The annual benchmark on automation maturity across global banking. Industry stats and executive framing reveal what separates leaders from the rest of the market.

WHITE PAPER
The case against running AI agents and RPA in silos, and what a single orchestration layer delivers for lending, FCC, and beyond.
What loan automation is, how loan processing automation works in practice, and how UiPath fits into the LOS and core banking stack you already run.
Loan automation is the use of RPA, AI agents, and intelligent document processing to handle the manual work in the lending lifecycle: application intake, document validation, credit analysis, underwriting checks, LOS updates, and QA. Loan automation doesn't replace the loan origination system; it orchestrates work across it and the surrounding stack so decisions happen faster with full audit documentation.
Loan processing automation targets the most manual stage of the lending lifecycle: the review, validation, and routing of a loan file between application and underwriting decision. Typical steps automated include income and asset extraction from borrower documents, DTI/LTV calculations, LOS field updates, exception routing, and conditional approval notifications. This is where most banks see the largest cycle-time and cost gains.
UiPath orchestrates the full lending lifecycle across the LOS and document stack you already run: Encompass, Empower, nCino, Jack Henry, and others. Purpose-built Loan Setup and QA/QC modules handle document ingestion, policy checks, and audit reporting. The broader platform adds Maestro for long-running workflows, UiPath Document Understanding for extraction, and governed AI agents for underwriting judgment.
No. UiPath is complementary to your LOS, core banking, and document management platforms. It sits on top and automates the work that happens across them: reconciling data, updating LOS fields, generating audit trails, and routing exceptions to humans. Institutions deploy without rearchitecting their lending stack.
Yes. The platform supports consumer loan automation (personal loans, auto loans, credit cards, HELOC, and mortgage) as well as commercial loan automation, including tax return spreading, financial statement analysis, and commercial QA/QC. Because workflows are built on a single orchestration layer, institutions can scale loan automation across lines of business without fragmented tooling.