nCino builds cloud-based software that banks and credit unions use to handle lending, account opening, and portfolio management from a single platform. Instead of juggling disconnected legacy systems for each step of the banking process, financial institutions use nCino to unify everything from loan origination through underwriting, closing, and ongoing portfolio oversight.
The Core Platform
At its heart, nCino is an operating system for banks. It connects the people, data, and workflows involved in banking operations into one cloud-based environment. When a borrower applies for a loan or opens a deposit account, the platform moves that request through preconfigured workflows, pulling in data from credit bureaus, core banking systems, and third-party applications automatically rather than requiring manual handoffs between departments.
A key piece of this architecture is the nCino Integration Gateway, which acts as a data hub connecting an institution’s internal systems with outside data sources. Think of it as a central nervous system: instead of a loan officer toggling between five different applications to pull credit reports, verify documents, and check compliance rules, the platform brings all of that information into one place. The result is what nCino calls a “single source of truth,” where every stakeholder, from the relationship manager to the compliance team, sees the same up-to-date information.
Commercial and Small Business Lending
Commercial lending is where nCino first made its name. The platform manages the entire lifecycle of a commercial loan: origination, credit analysis, underwriting, approval, closing, and ongoing portfolio management. Preconfigured workflows automate steps like pre-qualifications and credit approvals based on the institution’s own policy rules. The system can identify whether a loan should be automatically approved, declined, or flagged for manual review, which removes a significant amount of back-and-forth from the process.
On the portfolio management side, the platform generates real-time reports and automatic notifications. If a borrower has a loan covenant coming due, the system alerts the responsible banker and keeps a compliance record for auditors. Regulators and auditors can pull loan reports directly from the platform, which simplifies the review process considerably. A feature called Deal Management lets bankers view and manage a client’s full relationship, including loan and treasury products, in real time rather than piecing it together from separate systems.
Mortgage Lending
nCino’s Mortgage Suite applies the same single-platform approach to residential mortgages. It automates mortgage operations, streamlines the borrower journey, and improves collaboration between loan officers, processors, underwriters, and closing teams. Because everything lives in one cloud-based system, a borrower’s file moves through the pipeline without the document handoff delays that slow down traditional mortgage shops.
Deposit Account Opening
Beyond lending, nCino handles deposit account opening. This covers the process of onboarding new customers, verifying their identity, and setting up checking, savings, or other deposit accounts. The platform applies the same automation logic used on the lending side: standardized workflows, integrated data pulls, and digital document collection. One institution, Arrow Financial, reported a 280% increase in accounts opened after implementing nCino’s deposit account opening solution.
AI and Banking Intelligence
nCino layers artificial intelligence and analytics across its platform through several tools. Banking Advisor uses AI to help bankers work faster by surfacing relevant information and recommendations during their workflows. Continuous Credit Monitoring provides real-time, data-driven risk insights across the credit lifecycle, so institutions can spot emerging problems in their loan portfolios before they become losses.
On the analytics side, Mortgage Analytics offers turnkey reporting and insights for mortgage lenders, while Operations Analytics transforms operational data into strategic intelligence. A distinctive feature of the operations tool is peer benchmarking: institutions can compare their performance against anonymized data from nCino’s broader community of global bank clients, giving them context for whether their processing times or approval rates are competitive.
nCino also describes what it calls an Agentic Operating System, which governs how AI agents and human bankers collaborate on the platform. This layer provides banking-specific guardrails for deploying, managing, and measuring AI across an institution’s operations, an important consideration in a heavily regulated industry where automated decisions need audit trails and oversight.
Who Uses nCino
More than 2,700 financial institutions worldwide use the platform. The customer base spans the full range of institution types: enterprise banks, regional banks, community banks, credit unions, challenger banks, building societies, and independent mortgage banks. Notable clients include ABN AMRO, AIB, Absa Bank Limited, Bendigo Bank, and Judo Bank, which gives a sense of the geographic spread across Europe, Africa, Australia, and North America.
This breadth matters because it means the platform is designed to scale. A community bank with a few billion in assets uses the same underlying system as a multinational institution, though the configurations and workflows differ based on the institution’s size, product mix, and regulatory environment.
Measurable Impact on Bank Operations
The practical payoff for banks comes down to speed and cost. Institutions using nCino’s platform have reported a 70% decrease in loan approval time, a 92% reduction in loan servicing costs, and a 75% reduction in the time it takes to spread financials (the process of extracting and analyzing data from a borrower’s financial statements). These numbers reflect the cumulative effect of automating manual steps, eliminating duplicate data entry, and giving decision-makers instant access to the information they need.
For borrowers, the difference shows up as faster answers. A commercial loan that once took weeks to move from application to closing can be processed in a fraction of that time when the workflow is automated and every participant is working from the same system. For the bank, faster processing means the ability to handle more volume without proportionally increasing headcount, which directly improves profitability.