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ConnectOne Bank is Building the Future of Commercial Lending on nCino’s Agentic Operating System

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AI

nCino (NASDAQ: NCNO) announced that ConnectOne Bank is deploying nCino’s embedded AI across its commercial lending operations, including nCino Banking Advisor and two custom AI agents built on the Agentic Operating System (AOS). Document search time has been cut from 20 minutes to about 30 seconds, a 97.5% reduction, while active users increased 41% in 10 weeks. One Document Intelligence agent has reduced certain relationship‑update tasks by 60%. According to the companies, these deployments support ConnectOne’s ambition to make frontline commercial bankers 50% more efficient over time.

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Positive

  • Document search time reduced ~97.5% (20 minutes to 30 seconds)
  • Banking Advisor active users up 41% in 10 weeks
  • Document Intelligence agent cut specific task time by 60%
  • Two custom AI agents with 16 skills deployed on nCino AOS
  • Deployment timeline compressed from multi-year to weeks with nCino engineering

Negative

  • None.

News Explained

The July 14, 2026 release adds that ConnectOne’s deployment is being built within nCino’s AOS: the bank can use its own workflows, data and institutional knowledge, while AI-assisted actions remain auditable, explainable and under the institution’s control.

News Market Reaction – NCNO

+0.69%
1 alert
+0.69% Session close to close
$1.91B Market Cap
0.0x Rel. Volume

In the Jul 14 session, NCNO gained 0.69%, reflecting a mild positive market reaction.

Data tracked by StockTitan Argus on the day of publication.

Market Context

Set against prior AI-tagged news that averaged a modest -0.31% one-day move, this ConnectOne deploym...
Analysis

Set against prior AI-tagged news that averaged a modest -0.31% one-day move, this ConnectOne deployment fits a pattern where operational AI wins don’t always re-rate the stock immediately. With moderate short interest and recent insider Net Selling, investors may watch for concrete revenue or ACV impacts from these productivity gains.

Key Figures

Efficiency ranking: top 1% Productivity goal: 50% Legacy document search time: 20 minutes +5 more
8 metrics
Efficiency ranking top 1% Bank efficiency ranking nationally
Productivity goal 50% Target uplift for frontline commercial bankers
Legacy document search time 20 minutes Time previously needed for document search
Current document search time 30 seconds Time now needed for document search
Time reduction 97.5% Reduction in time spent searching credit policy and job aids
Adoption growth 41% Increase in active users over 10 weeks
AI agents deployed 2 agents Initial agents targeting high-friction commercial lending tasks
Task time reduction 60% Reduction in task time from Document Intelligence agent

Previous AI Reports

5 past events · Latest: May 13 (Neutral)
Same Type Pattern 5 events
Date Event Sentiment 24h Move Catalyst
May 13 AI benchmark survey Neutral -5.3% Released inaugural AI in Banking Benchmark based on 150 senior banking leaders.
Apr 06 AI product launch Positive +1.5% Introduced Analyst Digital Partner cutting commercial review effort by 60–70%.
Oct 16 AI award win Positive -1.0% Won 2025 Datos Gold award for Banking Advisor AI innovation.
Oct 02 Mortgage AI upgrade Positive -1.0% Unveiled new AI-powered mortgage features including AUS Smart Tasks and Refi Analyzer.
May 20 AI platform reveal Positive +4.3% Showcased new AI-powered banking solutions at nSight 2025, highlighting Banking Advisor.

24h Move is the share-price change in the day after each event; other market factors may also have contributed.

Pattern Detected

AI-focused announcements have produced mixed one-day reactions for nCino, with a slightly negative average move despite several strong product-related headlines.

Key Terms

document intelligence, knowledge base, role-based agents
3 terms
document intelligence technical
"One agent, which uses Document Intelligence to update individual and business relationships"
Document intelligence is software that reads, organizes and summarizes large volumes of written material—like regulatory filings, earnings reports, contracts and news—so people can find key facts quickly. For investors it acts like a fast, attentive research assistant that highlights important terms, risks and trends from dense paperwork, helping speed decisions, spot opportunities or red flags, and reduce the chance of missing critical information.
knowledge base technical
"Banking Advisor's Knowledge Base capability is live in the nCino Commercial Banking Solution"
A knowledge base is a centralized, organized collection of information—documents, procedures, data and answers—that a company uses to run its business and meet regulatory or clinical requirements. For investors it matters because it shows how well a company captures and shares what it knows: a reliable knowledge base reduces operational risk, speeds decision-making, supports compliance and due diligence, and can indicate stronger management and repeatable performance.
role-based agents technical
"Digital Partners, role-based agents, ensuring every AI-assisted action is auditable"
Software agents assigned specific, named roles (for example: analyst, negotiator, or scheduler) that carry out tasks, make decisions, and interact with other agents or systems according to role-specific rules and goals. Think of them like a team where each member has a job description and authority — this matters to investors because role-based agents can change how firms automate workflows, scale operations, allocate risk, and control compliance, all of which can affect costs, productivity, and operational risk.

AI-generated analysis. How Rhea-AI works. Not financial advice.

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Already ranked in the nation's top 1% in efficiency, the Bank is building a suite of AI agents on nCino with a goal to make every frontline commercial banker 50% more productive

WILMINGTON, N.C., July 14, 2026 (GLOBE NEWSWIRE) -- nCino, Inc. (NASDAQ: NCNO), the platform for agentic AI banking, today announced that ConnectOne Bank is actively deploying nCino’s embedded AI capabilities across its commercial lending operations. Through a combination of nCino Banking Advisor capabilities now live in production and two custom AI agents built on the nCino Agentic Operating System (AOS), ConnectOne is expanding what its bankers can do and laying the foundation for a new level of operational performance.

"When we adopted nCino, we needed a tool that could strengthen our efficient operating model as we scaled, while supporting our speed to market," said Frank Sorrentino III, Chairman and CEO at ConnectOne Bank. "In this next chapter, we are working with nCino to reimagine how our teams work. By leveraging nCino’s investments in AI, we can remove friction & administrative burden from our workflows, and double down on ConnectOne’s competitive advantage - our ability to serve our clients at the pace of their business.”

Early Results

Banking Advisor's Knowledge Base capability is live in the nCino Commercial Banking Solution at the Bank, and the results are already clear. Document search, a task that previously took bankers 20 minutes, now takes as little as 30 seconds, a 97.5% reduction in time spent searching credit policy and job aid documentation. Adoption has followed, with active users growing 41% in just 10 weeks.

The AOS enables financial institutions to deploy nCino's native Banking Advisor capabilities out of the box, then build on top of them using their own workflows, data and institutional knowledge, all governed within the same trust infrastructure that underlies nCino's own Digital Partners, role-based agents, ensuring every AI-assisted action is auditable, explainable and under the institution's control.

ConnectOne has started with two agents targeting the high-friction, time-consuming tasks that have long defined commercial lending, comprising 16 unique skills with additional capabilities rolling out over the coming months. One agent, which uses Document Intelligence to update individual and business relationships, has already reduced task time by 60%.

nCino's forward deployed engineering team worked alongside ConnectOne Bank team members to design, build and refine the agent suite directly within the institution's environment, compressing what would traditionally be a multi-year transformation into an active, iterative deployment measured in weeks.

Building Toward 50%

At nSight, nCino’s annual industry conference, Sorrentino shared how the deployment fits into ConnectOne's broader ambition: "We are one of the most efficient banks in the country. I believe with the things we're working on today together with nCino, we are going to be able to make every single one of our frontline people 50 percent more efficient. Fifty percent means our bankers will work a thousand hours less on things that don't matter and a thousand hours more on the things that do."

"Frank had the same questions about AI every banking leader has right now; the same board conversations, the same concerns,” said Sean Desmond, CEO at nCino. “The difference is he made a choice to focus on outcomes over checking a box. And the results speak to what that looks like when you build the right foundation and actually commit to it. Frank and his team have turned AI into a measurable operational advantage across the entire lending lifecycle, and the work they're doing on the AOS puts them ahead of where most of the industry is even trying to get to."

About ConnectOne Bancorp, Inc.

ConnectOne Bancorp, Inc., is a modern financial services company that operates, through its subsidiary, ConnectOne Bank, and the Bank’s fintech subsidiary, BoeFly, Inc. ConnectOne Bank is a high-performing commercial bank offering a full suite of banking & lending products and services that focus on small to middle-market businesses. BoeFly, Inc. is a fintech marketplace that connects borrowers in the franchise space with funding solutions through a network of partner banks. ConnectOne Bancorp, Inc. is traded on the Nasdaq Global Market under the trading symbol "CNOB," and information about ConnectOne may be found at https://www.connectonebank.com.

About nCino

nCino (NASDAQ: NCNO) is the platform for agentic AI banking. With over 2,700 customers worldwide — including community banks, credit unions, independent mortgage banks, and the largest financial entities globally — nCino offers a trusted, agentic platform purpose-built for financial services and regulated industries. By deploying AI agents alongside human teams, nCino's dual workforce enables institutions to eliminate inefficiencies, sharpen decision-making and deliver better outcomes for the customers they serve. For more information, visit www.ncino.com.

Media Contact

Riley Keyzer

press@ncino.com

Forward-Looking Statements:

This press release contains forward-looking statements about nCino's financial and operating results, which include statements regarding nCino’s future performance, outlook, guidance, the benefits from the use of nCino’s solutions, our strategies, and general business conditions. Forward-looking statements generally include actions, events, results, strategies and expectations and are often identifiable by use of the words “believes,” “expects,” “intends,” “anticipates,” “plans,” “seeks,” “estimates,” “projects,” “may,” “will,” “could,” “might,” or “continues” or similar expressions and the negatives thereof. Any forward-looking statements contained in this press release are based upon nCino’s historical performance and its current plans, estimates, and expectations and are not a representation that such plans, estimates, or expectations will be achieved. These forward-looking statements represent nCino’s expectations as of the date of this press release. Subsequent events may cause these expectations to change and, except as may be required by law, nCino does not undertake any obligation to update or revise these forward-looking statements. These forward-looking statements are subject to known and unknown risks and uncertainties that may cause actual results to differ materially including, but not limited to risks associated with (i) adverse changes in the financial services industry, including as a result of customer consolidation or bank failures; (ii) adverse changes in economic, regulatory, or market conditions, including as a direct or indirect consequence of higher interest rates; (iii) risks associated with acquisitions we undertake, (iv) breaches in our security measures or unauthorized access to our customers’ or their clients' data; (v) the accuracy of management’s assumptions and estimates; (vi) our ability to attract new customers and succeed in having current customers expand their use of our solution, including in connection with our migration to an asset-based pricing model; (vii) competitive factors, including pricing pressures and migration to asset-based pricing, consolidation among competitors, entry of new competitors, the launch of new products and marketing initiatives by our competitors, and difficulty securing rights to access or integrate with third party products or data used by our customers; (viii) the rate of adoption of our newer solutions and the results of our efforts to sustain or expand the use and adoption of our more established solutions; (ix) fluctuation of our results of operations, which may make period-to-period comparisons less meaningful; (x) our ability to manage our growth effectively including expanding outside of the United States; (xi) adverse changes in our relationship with Salesforce; (xii) our ability to successfully acquire new companies and/or integrate acquisitions into our existing organization; (xiii) the loss of one or more customers, particularly any of our larger customers, or a reduction in the number of users our customers purchase access and use rights for; (xiv) system unavailability, system performance problems, or loss of data due to disruptions or other problems with our computing infrastructure or the infrastructure we rely on that is operated by third parties; (xv) our ability to maintain our corporate culture and attract and retain highly skilled employees; and (xvi) the outcome and impact of legal proceedings and related fees and expenses.


FAQ

How is ConnectOne Bank using nCino (NCNO) to improve commercial lending efficiency?

ConnectOne Bank is deploying nCino’s Banking Advisor and custom AI agents to automate high-friction lending tasks. According to nCino, this has sharply reduced document search and relationship-update times, supporting ConnectOne’s goal to boost frontline banker productivity by up to 50%.

What early efficiency results has ConnectOne Bank reported from nCino’s AI platform NCNO?

ConnectOne reports document search time dropped from 20 minutes to about 30 seconds using nCino Banking Advisor. According to nCino, a Document Intelligence agent also reduced certain relationship-update tasks by 60%, indicating measurable time savings across commercial lending workflows.

What is nCino’s Agentic Operating System (AOS) being used for at ConnectOne Bank?

ConnectOne uses nCino’s AOS to run native Banking Advisor and two custom AI agents with 16 skills. According to nCino, AOS lets the bank apply its own data and workflows while keeping AI-assisted actions auditable, explainable, and under institutional control.

What productivity target is ConnectOne Bank aiming for with nCino (NASDAQ: NCNO) AI agents?

ConnectOne’s CEO said the bank aims to make every frontline commercial banker 50% more efficient. According to ConnectOne, this could shift roughly 1,000 hours per banker from low-value tasks to higher-value client activities as AI removes administrative friction.

How quickly was nCino’s AI deployed at ConnectOne Bank compared with traditional transformations?

According to nCino, its forward deployed engineering team helped ConnectOne design and refine AI agents in weeks. The company said this compressed what is typically a multi-year transformation into an active, iterative deployment directly within the bank’s environment.

How many AI agents and skills has ConnectOne Bank built on nCino’s AOS so far?

ConnectOne has started with two AI agents comprising 16 distinct skills on nCino’s AOS. According to nCino, these agents target high-friction, time-consuming commercial lending tasks, with additional capabilities planned for rollout over the coming months.