68% of employees use unauthorized AI at work. 77% paste company data into chatbots. This anonymous survey reveals what is actually happening, without surveillance. Free, instant results.
Start Survey FreeAI tools used by employees without IT approval or oversight. Includes personal ChatGPT accounts, unauthorized coding assistants, browser-based AI tools. The average enterprise has 1,200 unofficial AI applications (IBM). Shadow AI breaches cost $4.63M on average.
The framework of policies, processes, and accountability structures that govern how AI is used in an organization. Only 26% of organizations have formal AI governance (ISACA). This survey provides the baseline data needed to build one.
I've analyzed the results and summarized the key themes — with actionable recommendations for your team.
An AI usage survey is an anonymous questionnaire that reveals how employees actually use AI tools at work. Unlike surveillance tools (Zylo, LayerX) that monitor browser traffic, this survey asks employees directly, capturing not just what they use but why they use it and what they need.
The numbers are alarming. 68% of employees now use unauthorized AI at work (Gartner 2025). 77% paste company data into AI chatbots, with 22% of those paste operations containing PII or payment card data (LayerX). 91% of AI tools in enterprises are completely unmanaged by IT (Torii 2026). Yet only 26% of organizations have a formal AI usage policy (ISACA).
This survey is step one of the shadow AI audit playbook. For the full enterprise security context, see our Enterprise AI Agent Security guide and OpenClaw Enterprise Risks analysis. It provides the quantified evidence your security team needs: which tools, what data, how often, and what gaps your current policies leave open.
Start using this template for freeTechnical monitoring catches tool installations but misses personal accounts, mobile usage, and browser-based AI. Anonymous surveys reveal the full picture. 38% of employees deliberately hide their AI usage (Salesforce).
Know exactly what types of company data are being shared with unauthorized AI tools. 77% of AI users paste company data into chatbots (LayerX). This survey tells you which data categories are exposed.
Surveillance tools show which tools are used. This survey reveals WHY employees use them and what they wish they had instead. This is the insight you need to provide a managed alternative they will actually adopt.
Stop guessing. Use survey data to create an AI usage policy that addresses real usage patterns, real risks, and real employee needs. See our GDPR & AI Act compliance checklist for the regulatory framework. Also check our AI Governance Assessment for a maturity score.
Grouped into 4 categories: current usage discovery, data handling and risk, policy awareness, and needs assessment. All responses are anonymous.
Which AI tools do you currently use for work tasks?
Identifies the full landscape of shadow AI tools in use. Often reveals 10x more tools than IT is aware of.
How frequently do you use AI tools for work?
Frequency indicates dependency level. Daily users are most at risk of data leakage.
What types of work tasks do you use AI for?
Maps AI usage to business functions. Reveals where a managed tool would have the highest adoption.
Do you use personal or company-provided AI accounts?
Personal accounts = data processed outside company control. This is the core shadow AI risk.
What types of company data have you input into AI tools?
Directly quantifies data exposure risk by category (code, customer data, financials, HR data).
Have you copy-pasted content from internal systems into an AI tool?
Copy-paste from CRM/ERP/email into AI is the primary data leakage vector. 77% of users do this (LayerX).
Are you aware of where the data you input into AI tools is stored?
Awareness gap indicates training need. Most employees assume AI conversations are private.
Does your organization have a formal AI usage policy?
Only 26% of organizations have one (ISACA). If employees don't know, the policy isn't working.
Have you received training on AI usage at work?
Training is the most effective shadow AI prevention. This question reveals the training gap.
If there is no approved AI tool for a task, what do you do?
Reveals the use it anyway
vs skip the task
split. Most choose shadow AI over no AI.
What is your biggest frustration with AI tools at work?
Identifies the root cause of shadow AI. Usually: no approved tool, or the approved tool is too limited.
Which work tasks would benefit most from better AI support?
Captures unmet demand. This is your roadmap for what the managed replacement must cover.
Would you use an officially approved and secure AI tool if provided?
Gauges adoption potential. If >80% say yes, you have a strong business case for a managed platform.
What would make you feel confident using AI at work?
Reveals trust barriers: policy clarity, privacy guarantees, management endorsement, training.
How important is it that your company provides official AI tools?
Measures urgency from the employee perspective. High importance = strong demand signal for IT/HR.
Share the anonymous survey link with your team or organization. No app installation, no browser extension, no IT setup required.
Employees answer 15 questions in 5 minutes. Responses are fully anonymous. No personal data collected. Trust-based discovery, not surveillance.
AI analyzes responses and generates a report: tools in use, data exposure risk, policy gaps, employee needs. The evidence your security team needs to act.
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