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Enterprise AI: The Reality Behind the Hype

In partnership with Zogby Analytics and Pollfish, the Nitro Enterprise AI Report 2026 surveyed over 1,000 professionals across the US, UK, and Canada—including 103 C-suite executives—to identify critical trends in AI adoption, ROI, and perception gaps shaping enterprise strategy. 

Published: April 13, 2026
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The AI market is projected to exceed $1 trillion by 2031. Document processing with 95% adoption demonstrates that purpose-built AI integrated into platforms that users already trust drives value, high adoption, and measurable ROI at scale. That's the blueprint for enterprise AI success.

—Cormac Whelan, CEO, Nitro

6 key takeaways from Nitro's enterprise AI report

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Document AI delivers

95% of C-suite leaders leverage AI-driven document workflows to drive measurable time savings across the organization.
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Shadow AI thrives

68% of executives and 50% of employees have used unauthorized consumer AI tools to work around gaps in their approved tools.
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Security risks

33% of employees have processed confidential company info through AI, including financial data.
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Productivity returns

85% of executives expect employees to save 5+ hours weekly on document tasks using AI.
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Support & training

71% of executives and 74% of employees report minimal to no challenges with AI vendor support and training.
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Industry transformation

96% of executives and 79% of employees believe that AI will improve business performance.

1. Document AI delivers

The survey reveals that AI-powered document workflows have moved well past the pilot phase. With near-universal adoption among C-suite leaders and strong uptake across the broader workforce, document AI has become one of the clearest enterprise AI success stories to date.

How often are teams using AI tools at work? 

 

0%

of executives use AI for work at least weekly.

0%

of employees use AI for work at least weekly.


Usage frequency

Executive leadership

Employees
Daily 77% 59%
Weekly 19% 23%
Monthly 4% 7%
Rarely 0% 6%
Never 0% 5%

 

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2. Shadow AI thrives

Strong adoption numbers don't tell the whole story, though. The survey uncovered a significant gap between official AI policies and what's actually happening on the ground, with unauthorized tool usage spanning every level of the organization.

How often are executives and employees using unapproved tools?

0%

of executives have used unapproved AI tools in the past 3 months.

0%

of executives use at least one unapproved AI tool weekly.

0%

of employees have used unapproved tools in the past 3 months, with an average of 3+ unapproved tools used weekly.

Usage frequency

Executive leadership

Employees
More than 10 times 12% 16%
7-10 times 9% 5%
5-6 times 15% 8%
3-4 times 14% 10%
1-2 times 18% 11%
Never 32% 50%

3. Security risks

That gap between policy and practice carries real consequences. Employees routinely process confidential information through AI tools, often without visibility from IT or leadership into where that data ends up.

How often are employees passing confidential information through AI?

0%

of employees have processed confidential company information through AI tools.

0%

of executives believe employees process confidential data through AI daily or weekly.

0%

of executives use unapproved AI tools themselves.

Data type

% processed by employees through AI tools
Customer data 69%
Financial data 62%
Contracts/legal documents 56%
Proprietary research/company intelligence 45%
Regulatory filings 36%

4.  Productivity returns

The productivity case for document AI remains compelling despite these challenges. When organizations provide tools that actually fit how people work, the time savings are substantial and measurable.

How much time do employees save by using document AI?

0%

of executives expect employees to save 5+ hours weekly on document tasks.

0%

of executives expect employees to save 5-10 hours weekly on document tasks.

0%

of executives expect employees to save over 20 hours weekly on document tasks.
 

Hours saved

% reported by employees
<5 hours 39%
5-10 hours 38%
11-20 hours 14%
>20 hours 9%

5. Support & training

One factor accelerating adoption: the tools themselves have matured. Both executives and employees report that vendor support and training are no longer significant barriers to getting value from AI.

Does vendor support and training hold back AI adoption?

0%

of executives report minimal/no challenges with AI vendor support/training.

0%

of employees also feel that AI support and training are not a top challenge.

How challenging?

Reported by executives
Somewhat challenging 34%
Slightly challenging 19%
Challenging 18%
Not challenging 18%
 Extremely challenging   11%

 


How challenging?

Reported by employees
Somewhat challenging 23%
Slightly challenging 26%
Challenging 16%
Not challenging 25%
 Extremely challenging  10%

 

6. Industry transformation

Beyond individual productivity, the survey reveals broad confidence in AI's potential to reshape how entire industries operate. That optimism is especially pronounced among leadership, where belief in AI's business impact is nearly universal.

How confident are executives and employees in AI's business impact?

0%

of executives believe that AI will improve business performance.

0%

of employees believe that AI will improve business performance.

Area of Improvement

Executives

Employees
Individual productivity 97% 80%
Industry transformation 92% 74%

FAQs about Nitro's Enterprise AI Report

How often are teams using AI tools at work?

AI tool usage is near-universal at the executive level — 96% report using AI for work at least weekly. Employee adoption is slightly lower but still strong at 82% weekly usage. Daily usage is the most common frequency among executives, while employees show more variation across daily, weekly, and monthly usage patterns. 

How often are executives and employees using unapproved AI tools?

Shadow AI is widespread. 68% of executives have used unapproved AI tools in the past six months, with 63% doing so on a weekly basis. Half of employees have used unapproved tools in the past three months, averaging 4-5 unapproved tools each. Usage frequency skews heavily toward regular use — this isn't occasional experimentation. 

How often are employees passing confidential information through AI?

33% of executives acknowledge passing confidential company information through AI tools. Among employees, the numbers are more striking — 75% pass confidential information through AI at least weekly, and 68% report having done so themselves. 

What types of confidential data are employees sharing through AI tools?

The most commonly shared data types include customer data, financial data, employee/HR information, proprietary research and competitive intelligence, and regulatory filings. Customer data tops the list in terms of frequency. 

How much time do employees save by using document AI?

The productivity gains are substantial. 85% of employees report saving six or more hours per week on document-related tasks. The largest group (50%) saves between 6 and 10 hours weekly. A notable 14% report saving over 20 hours per week — essentially half a working week reclaimed. 

Does vendor support and training hold back AI adoption?

Yes, significantly. 71% of executives and 74% of employees identify vendor support and training as a major challenge. Both groups report a range of difficulty levels, from moderately to extremely challenging, suggesting the problem isn't limited to initial onboarding but persists through ongoing use. 

How confident are executives and employees in AI's business impact?

Confidence is very high. 96% of executives believe AI will improve business performance, and 79% of employees agree. The gap suggests executives may have broader visibility into strategic AI benefits, while employees are slightly more cautious. 

What areas of business do executives and employees expect AI to improve?

Both groups point to individual productivity and industry transformation as key areas. Executives show slightly higher confidence across all categories, with internal productivity and broader industry-level change cited most frequently. 

See the full report for more insights on enterprise AI adoption.

Read the report