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Banks Are Moving to a Dual Workforce Model, nCino’s Inaugural AI in Banking Benchmark Shows

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nCino (NASDAQ: NCNO) released its first AI in Banking Benchmark, based on a survey of 150 U.S. senior banking technology and business leaders. 89% expect a dual workforce of AI agents and humans within five years, yet only 21% are linking AI investments to revenue.

While 84% use AI at an enterprise level and 91% say it shifts time to higher-value work, 81% prioritize adoption over ROI. 87% feel confident in data quality, but 93% report governance challenges such as siloed or inconsistent data. 94% believe a fully integrated, end-to-end AI solution could provide more value.

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News Market Reaction – NCNO

-5.31%
-5.31% Session close to close

In the May 13 session, NCNO declined 5.31%, reflecting a notable negative market reaction.

Data tracked by StockTitan Argus on the day of publication.

Market Context

The stock moved -5.3% in the session following this news. A negative reaction despite an AI-focused ...
Analysis

The stock moved -5.3% in the session following this news. A negative reaction despite an AI-focused benchmark would fit prior patterns where constructive AI news did not always translate into gains, with several past AI-tagged releases followed by declines. With NCNO trading below its 200-day MA of 23.09 and more than 50% under its 52-week high, further weakness could reflect skepticism about converting high adoption figures into revenue impact, as only 21% currently tie AI to revenue.

Key Figures

Bankers expecting dual workforce: 89% AI tied to revenue: 21% Enterprise AI use: 84% +5 more
8 metrics
Bankers expecting dual workforce 89% See a future of AI agents and humans within five years
AI tied to revenue 21% Respondents currently linking AI investments to increased revenue
Enterprise AI use 84% Institutions utilizing AI at an enterprise level
Time reallocated by AI 91% Say AI enables time on higher-value or customer-facing work
AI changed roles 84% Bankers saying AI has significantly changed most banking roles
Adoption over ROI 81% Executives prioritizing AI adoption over return on investment
Executives surveyed 150 U.S. senior technology and business decision-makers in study
Data governance issues 93% Executives citing at least one data governance challenge

Previous AI Reports

5 past events · Latest: Apr 06 (Positive)
Same Type Pattern 5 events
Date Event Sentiment 24h Move Catalyst
Apr 06 AI product launch Positive +1.5% Launch of Analyst Digital Partner AI agent cutting review effort and deployment time.
Oct 16 AI award win Positive -1.0% Gold award for Banking Advisor AI and related analytics innovations.
Oct 02 AI feature updates Positive -1.0% New AI-powered mortgage features and enhancements to existing tools.
May 20 AI solutions launch Positive +4.3% Unveiling AI-powered banking solutions and nCino Research Institute at nSight 2025.
Jun 17 AI deployment Positive -1.1% Deployment of Banking Advisor generative AI to drive efficiency at banks.

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

Pattern Detected

AI-tagged announcements often read positively but have produced mixed reactions, with more divergence days than aligned moves.

Recent Company History

Over the past two years, nCino has repeatedly highlighted AI capabilities. Events like the nSight 2025 AI launch and the 2025 Datos Impact Award Gold underscored its data and analytics focus. Price reactions around these AI-tagged releases have been modest, averaging about 0.53%, with several negative sessions despite constructive product news. Today’s AI benchmark report fits this pattern of strategic AI messaging against a backdrop of restrained or mixed stock responses.

Key Terms

ai agents, agentic ai, data governance, data integrity, +1 more
5 terms
ai agents technical
"Nearly 9 in 10 senior banking executives say AI Agents are the future"
AI agents are computer programs designed to perform tasks or make decisions automatically, often by learning from data and adapting to new information. They act like virtual assistants or robots that can handle complex activities without human intervention, which can help businesses and individuals save time and improve efficiency. For investors, AI agents matter because they can enhance decision-making and automate processes that influence markets and financial outcomes.
agentic ai technical
"nCino, Inc. (NASDAQ: NCNO), the platform for agentic AI banking"
Agentic AI refers to computer systems that can make their own decisions and take actions without needing someone to tell them what to do each time. It's like giving a robot a degree of independence to solve problems or achieve goals on its own, which matters because it could change how we work and interact with technology in everyday life.
data governance technical
"nearly all (93%) cite at least one data governance challenge"
Data governance is the set of rules and practices that ensure information is accurate, consistent, and used responsibly within an organization. It is like a well-organized library system that keeps track of all the books, making sure they are correct, easy to find, and used properly. For investors, strong data governance helps ensure that the information they rely on is trustworthy and decisions are based on reliable data.
data integrity technical
"Compromised data integrity (41%)"
Data integrity is the assurance that financial, operational, and regulatory records are accurate, complete, consistent, and protected from unauthorized changes throughout their lifecycle. For investors this matters because reliable data is the foundation for valuing a business, assessing risk, and trusting reported results—like relying on a correct recipe or map, mistakes or tampering can lead to wrong decisions, regulatory penalties, and sudden changes in a company’s market value.
end-to-end ai solution technical
"a fully integrated, end-to-end AI solution could deliver more value"
An end-to-end AI solution is a single, complete system that handles every step of an artificial intelligence task — from gathering and cleaning data, to training models, to deploying and monitoring the results — so users get a finished capability rather than separate pieces. For investors it matters because such integrated systems can speed time to revenue, reduce ongoing integration costs, and make performance more predictable; their quality affects scalability, maintenance costs, and competitive advantage.

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

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Nearly 9 in 10 senior banking executives say AI Agents are the future, but only 1 in 5 are currently tying it to revenue

Barriers remain to turn AI momentum into measurable ROI

CHARLOTTE, N.C., May 13, 2026 (GLOBE NEWSWIRE) -- nCino, Inc. (NASDAQ: NCNO), the platform for agentic AI banking, today released its inaugural “nCino AI in Banking Benchmark,” which revealed that the majority of bankers (89%) see a future defined by a dual workforce of AI agents and humans within five years.

While institutions have made meaningful progress in adopting AI and defining strategy, many are still working to translate that activity into business outcomes, marking a pivotal shift from exploring various use cases to utilizing as a strategic growth enabler at scale. In fact, the report found that only 21% of respondents indicate that they are currently tying their AI investments to increased revenue.

This survey was launched at nSight 2026, nCino’s 14th annual industry event being held May 12-14 in Charlotte, North Carolina. It was fielded between late March and early April 2026 among 150 U.S. banking senior technology and business decision-makers.

“As AI adoption accelerates, this report reveals that banking leaders are rethinking how work gets done, increasingly moving to a dual workforce of AI agents and humans,” said Sean Desmond, Chief Executive Officer at nCino. “The next phase is turning that motion into real momentum, ensuring AI investments deliver measurable business outcomes. That requires treating AI not just as a technology initiative, but as a transformation of how institutions operate, compete and serve their customers.”

AI Has Moved to the Core of the Banking Enterprise

AI is now firmly embedded in banking operations, with the majority of institutions utilizing it at an enterprise level (84%). What began as experimentation has evolved into everyday integration, with the report showing 91% of respondents say it enables their time to be spent on higher value or customer-facing work.

This shift is being accelerated by agentic AI, which is already reshaping roles across the organization and laying the foundation for a dual workforce model. According to the report, 84% of bankers say it has already significantly changed how most banking roles operate and 89% expect to be working alongside AI agents within the next five years.

AI Adoption Is Outpacing Accountability

The report reveals that while most banks (91%) have defined AI strategies, many are still early in linking those investments to KPIs. A majority (81%) of executives prioritize adoption over return on investment, with relatively few tying AI initiatives to cost reduction (26%) or revenue growth (21%). As a result, many organizations remain in motion—without yet achieving the momentum needed to drive sustained business impact.

Confidence in Data is High—But There are Cracks Beneath It

One of the primary barriers to translating AI momentum into business impact is data. The survey shows that the majority (87%) of banking executives feel confident about their ability to access good, quality data—good news for AI adoption. Yet nearly all (93%) cite at least one data governance challenge, including:

  • Data siloed across systems (52%)
  • Compromised data integrity (41%)
  • Inconsistent or incomplete data (37%)
  • Poor data quality (34%)

Against this backdrop, the report found that 94% of executives say a fully integrated, end-to-end AI solution could deliver more value to their organization.

“ConnectOne has consistently operated among the top-performing institutions for efficiency, and we take pride in working with partners like nCino that help us continue to enhance that efficiency as we scale,” said Frank Sorrentino, Chairman and Chief Executive Officer of ConnectOne Bank. “As the pace of technological change accelerates, the institutions best positioned to lead will be those that rethink how they operate, apply modern solutions with purpose, and work with partners who can help translate innovation into meaningful outcomes for clients, teams, and shareholders.”

To download the full report, visit the nCino website.

Methodology

The nCino AI in Banking Benchmark was fielded between late March and early April 2026 among 150 U.S. banking senior technology and business decision-makers. Respondents’ roles included CEOs, CIOs, CTOs, Managing Directors, and VPs, and were employed across credit unions, community banks, regional and super-regional banks, and global financial institutions. All participants have direct influence over or responsibility for technology strategy and investment decisions. The survey was designed to assess how financial institutions are adopting and operationalizing AI, where strategic alignment and execution challenges persist, and how banks are measuring business impact and return on investment from AI initiatives.

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

What is nCino's AI in Banking Benchmark 2026 and who participated?

The nCino AI in Banking Benchmark 2026 is a survey of 150 senior U.S. banking technology and business decision-makers. According to nCino, participants included CEOs, CIOs, CTOs, managing directors, and VPs across credit unions and banks of various sizes.

What does the nCino (NASDAQ: NCNO) AI in Banking Benchmark say about dual workforces?

The benchmark indicates that 89% of surveyed bankers expect to work alongside AI agents within five years. According to nCino, 84% say AI has already significantly changed how most banking roles operate, supporting a shift to a dual workforce of AI agents and humans.

How many banks are linking AI investments to revenue according to nCino's 2026 survey?

According to nCino, only 21% of surveyed banking executives report tying AI investments to increased revenue. The survey also shows 81% of executives prioritize AI adoption over return on investment, with 26% linking AI to cost reduction.

What data challenges did the nCino AI in Banking Benchmark 2026 identify?

The survey found 93% of executives report at least one data governance issue, despite 87% feeling confident about data access and quality. According to nCino, key challenges include siloed data across systems, compromised data integrity, and inconsistent or incomplete data.

How widely is AI used at the enterprise level in banks, based on nCino's NCNO study?

nCino reports that 84% of surveyed institutions now use AI at an enterprise level. Additionally, 91% of respondents say AI enables them to spend time on higher-value or customer-facing work, suggesting AI is embedded in daily banking operations.

Why do banking executives see value in integrated AI solutions, according to nCino (NCNO)?

According to nCino, 94% of surveyed executives believe a fully integrated, end-to-end AI solution could deliver more value. This view arises amid widespread data governance challenges and a need to better connect AI efforts with measurable business outcomes.