Do You Know How Your Employees Are Using AI? The Hidden Risks Colorado Businesses Cannot Afford to Ignore

Introduction

Artificial intelligence has moved beyond being an emerging technology. It is now part of the everyday workplace.

Whether employees are drafting emails with ChatGPT, summarizing meetings with Microsoft Copilot, generating marketing content, analyzing spreadsheets, writing software code, or researching legal questions, AI tools are becoming as common as email.

For Colorado business owners, this presents both an incredible opportunity and a growing challenge.

The opportunity is clear. AI can improve efficiency, reduce repetitive work, accelerate decision making, and help organizations remain competitive in rapidly evolving markets.

The challenge is that many organizations have no idea how employees are actually using AI.

This phenomenon has become known as “shadow AI.” Employees independently adopt AI tools without company approval, security reviews, documented policies, or compliance oversight. Most employees are not trying to create risk. They are simply looking for faster ways to complete their work.

Unfortunately, good intentions do not eliminate business liability.

Across Denver and throughout Colorado, organizations in manufacturing, engineering, healthcare, legal services, and nonprofit operations are increasingly discovering that AI adoption has expanded faster than their governance programs.

That gap creates real concerns.

Sensitive customer information may be entered into public AI platforms.

Protected Health Information may be exposed through unauthorized prompts.

Engineering designs and intellectual property could leave secure environments.

Confidential legal information might be processed outside approved systems.

Government contractors pursuing CMMC compliance could unknowingly create cybersecurity issues.

None of these scenarios require malicious intent. They only require an employee trying to save time.

Business owners often ask whether they should prohibit AI entirely.

The better question is whether that is even realistic.

The answer is no.

Employees are already using AI. The organizations that will succeed are not the ones attempting to stop innovation. They are the ones establishing clear governance, practical policies, employee education, and compliance controls that allow innovation to happen safely.

For Colorado businesses, AI governance is becoming just as important as cybersecurity, privacy, and risk management.

AI Adoption Is Happening Faster Than Most Businesses Realize

Understanding Employees Using AI in the Workplace

Many executives believe AI adoption is still in its early stages inside their organization.

In reality, it often begins long before leadership becomes aware of it.

Consider a few everyday examples.

A marketing employee asks AI to create social media content.

An engineer uses AI to summarize technical documentation.

A healthcare administrator asks AI to organize patient scheduling notes.

An attorney uses AI to draft a contract outline.

A nonprofit development director uses AI to prepare a grant proposal.

An HR manager uses AI to rewrite a job description.

None of these activities appear dangerous at first glance.

However, each one raises important questions.

What information was entered into the AI platform?

Where is that information stored?

Does the platform use submitted data for future model training?

Has the organization approved that specific AI application?

Are employees aware of what should never be entered into an AI system?

Without clear answers, organizations cannot accurately evaluate their risk.

The issue is not AI itself.

The issue is unmanaged AI adoption.

Just as businesses developed acceptable use policies for email, cloud storage, mobile devices, and social media, AI now requires the same level of organizational oversight.

Ignoring AI does not prevent its use.

It only prevents visibility.

Why Shadow AI Creates Business Liability

One of the biggest misconceptions surrounding artificial intelligence is that AI creates new risks.

More accurately, AI amplifies existing risks that organizations have already been managing for years.

Consider the core responsibilities every business leader already understands.

Protect confidential information.

Safeguard customer data.

Maintain cybersecurity.

Meet contractual obligations.

Comply with industry regulations.

Protect intellectual property.

Maintain employee accountability.

Artificial intelligence intersects with every one of these responsibilities.

Imagine an employee copying an internal engineering specification into a public AI tool to simplify technical writing.

Now imagine another employee uploading customer financial information so AI can generate a report.

Perhaps someone pastes confidential legal correspondence into an AI assistant to create a summary before a meeting.

Each employee may simply be trying to work more efficiently.

Yet every action could introduce unnecessary compliance concerns.

Business liability often does not arise because technology exists.

It arises because organizations failed to establish reasonable controls around how technology should be used.

Artificial intelligence is quickly becoming another example of that principle.

The organizations that implement AI governance today will likely face fewer surprises tomorrow.

Colorado Businesses Face Industry Specific Risks

Every industry is adopting AI differently.

The risks facing a precision manufacturer are very different from those affecting a healthcare provider or law firm.

That is why a single AI policy rarely addresses every business function.

Colorado’s economy is especially diverse.

The Denver metropolitan area continues to attract advanced manufacturers, engineering firms, healthcare systems, technology companies, legal practices, nonprofit organizations, and government contractors.

Many of these industries already operate under strict regulatory requirements.

Artificial intelligence does not replace those obligations.

In many cases, it increases the need for documented governance.

Leaders should begin asking practical questions.

Do we know which AI tools employees are using?

Have we established an acceptable use policy?

Do employees understand what information can never be entered into AI systems?

Have our cybersecurity, legal, compliance, and executive teams discussed AI governance together?

Can we demonstrate due diligence if a regulator, client, insurance carrier, or business partner asks about our AI practices?

If the answer to these questions is uncertain, your organization is not alone.

Many businesses across Colorado are asking the same questions right now.

The organizations that begin building governance today will be better positioned to embrace innovation while protecting their customers, employees, and long-term reputation.

Manufacturing and Engineering: Protecting Intellectual Property in the Age of AI

Colorado’s manufacturing and engineering sectors have embraced innovation for decades. From aerospace and advanced manufacturing to industrial automation and product design, businesses throughout the Denver metro area depend on precision, proprietary processes, and intellectual property to remain competitive.

Artificial intelligence can significantly improve productivity in these environments. Engineers can use AI to summarize technical specifications, troubleshoot code, generate documentation, and analyze large datasets in minutes rather than hours.

However, these benefits come with important considerations.

Imagine an engineer uploads a CAD drawing or a proprietary design specification into a public AI platform to receive design recommendations. While the employee’s goal may be to improve efficiency, that information could include confidential product details, customer requirements, or trade secrets that should never leave the organization’s controlled environment.

Even seemingly harmless prompts can reveal valuable information about manufacturing processes, research and development efforts, or upcoming product launches.

For organizations that work with defense contractors or federal agencies, the stakes become even higher. Many contracts require strict controls over technical data and cybersecurity practices. Employees who unknowingly submit controlled information into unauthorized AI systems may create compliance concerns that extend beyond internal policy violations.

Business owners should ask themselves:

• Which AI tools have been approved for engineering teams?
• Do employees understand what qualifies as proprietary information?
• Are technical documents classified according to sensitivity?
• Is AI use included in engineering and cybersecurity policies?

AI adoption should support innovation, not compromise the competitive advantages that businesses have spent years developing.

Healthcare: AI Innovation Must Work Alongside HIPAA

Healthcare organizations are under constant pressure to improve efficiency while maintaining exceptional patient care.

Artificial intelligence offers exciting possibilities.

Administrative staff can draft correspondence, summarize meeting notes, organize workflows, and assist with documentation. Clinicians may eventually benefit from AI-assisted decision support, transcription, and operational improvements.

Yet healthcare organizations operate under one of the most recognized privacy regulations in the United States: HIPAA.

Protected Health Information requires careful handling regardless of whether it is stored in an electronic health record, emailed between providers, or entered into an AI application.

One common misconception is that removing a patient’s name automatically eliminates compliance concerns.

In reality, patient identifiers extend far beyond names. Dates of birth, medical record numbers, addresses, insurance information, treatment details, and combinations of seemingly harmless information may still qualify as protected information.

Without clear policies, employees may unintentionally paste appointment details, clinical notes, insurance information, or patient communications into consumer AI platforms that have not been approved for healthcare use.

This creates unnecessary compliance exposure.

Healthcare leaders should establish clear guidance regarding:

• Which AI applications are approved
• When AI may be used for administrative purposes
• What information is prohibited from being entered into AI systems
• Employee education regarding HIPAA and AI
• Ongoing monitoring and policy updates

AI should improve patient care while protecting patient privacy. Those objectives should always work together.

Legal Professionals: Confidentiality Remains Non Negotiable

Law firms and corporate legal departments are discovering that AI can dramatically improve research, document organization, drafting, and administrative efficiency.

For busy legal professionals, these capabilities are understandably attractive.

However, attorneys also have ethical responsibilities to maintain client confidentiality and exercise professional judgment.

Using AI without appropriate safeguards can create unnecessary risk.

For example, uploading contracts, litigation strategies, merger documents, privileged communications, or client records into unauthorized AI platforms may expose confidential information outside approved environments.

Even when AI generates useful content, attorneys remain responsible for verifying its accuracy.

AI should support legal professionals, not replace legal analysis or independent review.

Law firms considering broader AI adoption should develop policies addressing:

• Approved AI platforms
• Confidential information handling
• Client consent where appropriate
• Verification of AI generated content
• Documentation of AI use within legal workflows

Clients increasingly expect firms to embrace technology responsibly. Demonstrating thoughtful governance can strengthen both trust and professional reputation.

Nonprofit Organizations: Limited Resources Do Not Reduce Compliance Responsibilities

Many nonprofit organizations operate with lean teams, limited budgets, and growing demands.

Artificial intelligence can help organizations create grant proposals, develop marketing materials, manage donor communications, summarize board meetings, and streamline administrative work.

These efficiency gains can be transformative.

However, nonprofit organizations also manage sensitive information.

Donor records.

Volunteer information.

Financial data.

Personnel files.

Program participant information.

Strategic planning documents.

Grant applications.

Without clear guidance, staff members may unknowingly upload confidential organizational information into AI platforms while attempting to complete everyday tasks more efficiently.

Nonprofits also depend heavily on public trust.

A data exposure involving donor information or confidential organizational records can quickly affect fundraising, partnerships, and community confidence.

AI governance is not only a compliance issue.

It is also part of responsible organizational stewardship.

Even a simple AI acceptable use policy combined with employee awareness training can significantly reduce unnecessary risk while allowing staff to benefit from new technology.

Government Contractors and CMMC: AI Governance Supports Cybersecurity

Colorado is home to many manufacturers, engineering firms, technology companies, and service providers supporting federal agencies and defense contractors.

These organizations are increasingly focused on achieving or maintaining Cybersecurity Maturity Model Certification, commonly known as CMMC.

Although CMMC does not prohibit artificial intelligence, it emphasizes protecting Controlled Unclassified Information through documented security practices, access controls, risk management, and employee accountability.

Unmanaged AI adoption can complicate these efforts.

For example, if an employee copies Controlled Unclassified Information into an unauthorized AI platform, the organization may struggle to demonstrate that required security controls were followed.

Likewise, organizations working toward CMMC should evaluate how AI fits into broader cybersecurity governance.

Questions worth asking include:

• Are AI applications included within software inventories?
• Have AI tools undergone security reviews?
• Do vendor risk assessments include AI providers?
• Are employees trained on acceptable AI use?
• Does incident response planning address AI related events?

Organizations pursuing CMMC often invest significant resources into strengthening cybersecurity.

AI governance should become part of that same conversation rather than being treated as a separate initiative.

AI Adoption Is Also Becoming an Insurance and Business Liability Conversation

Many business leaders initially view AI governance as an information technology issue.

Increasingly, it is becoming a legal, insurance, compliance, and executive leadership issue as well.

Insurance carriers continue to evaluate how organizations manage cyber risk.

Clients increasingly ask vendors about cybersecurity practices before signing contracts.

Business partners expect organizations to protect confidential information.

Boards of directors are asking executives how artificial intelligence is being managed across the enterprise.

If a security incident occurs involving AI, investigators may ask reasonable questions.

Did leadership establish an AI policy?

Were employees trained?

Were approved tools identified?

Was sensitive information adequately protected?

Were risks periodically reviewed?

These questions are similar to those organizations already face following cybersecurity incidents or privacy breaches.

Documented governance demonstrates that leadership recognized emerging risks and implemented reasonable safeguards.

That approach not only supports compliance but also strengthens organizational resilience.

The goal is not to eliminate every possible risk.

The goal is to demonstrate responsible oversight while allowing innovation to continue.

Organizations that proactively address AI adoption today are more likely to build trust with customers, regulators, insurers, employees, and business partners tomorrow.

Building an AI Governance Strategy Before Problems Arise

The good news is that managing AI adoption does not require organizations to become technology companies overnight.

In most cases, the first step is simply understanding how AI is already being used across the business.

Many organizations are surprised to learn that employees have adopted multiple AI platforms without formal approval. Marketing teams may be using one tool, engineers another, and administrative staff yet another. Without visibility, leadership cannot accurately assess risk or establish meaningful safeguards.

An effective AI governance program should be practical, scalable, and aligned with the organization’s size, industry, and regulatory obligations.

A strong starting point includes:

1. Identify Current AI Usage

Conduct an internal assessment to determine which AI applications employees are already using.

Ask departments how AI supports their daily work, what information is being entered into these tools, and whether those platforms have been reviewed by IT or security teams.

Understanding current AI adoption provides the foundation for every other governance decision.

2. Develop an Acceptable Use Policy

Employees should not be left guessing what is appropriate.

A written AI policy should clearly define:

• Approved AI platforms
• Prohibited uses
• Types of confidential information that must never be entered into AI systems
• Employee responsibilities
• Review and approval processes for new AI tools

The policy should complement existing cybersecurity, privacy, and acceptable use policies rather than replace them.

3. Train Employees

Policies alone do not change behavior.

Employees need practical examples that relate to their daily responsibilities.

Training should explain:

• How AI works at a high level
• What information should never be shared
• How AI supports productivity safely
• Industry specific compliance expectations
• When employees should ask questions before using new tools

Education helps create a culture where employees view AI as a business tool that requires the same level of care as email, cloud storage, or financial systems.

4. Review Vendors Carefully

Not every AI platform offers the same security, privacy, or contractual protections.

Before approving an AI application, organizations should evaluate:

• Data retention practices
• Privacy commitments
• Security controls
• Administrative features
• Regulatory support
• Contractual terms

Vendor due diligence has become an essential part of responsible AI governance.

5. Review Governance Regularly

Artificial intelligence continues to evolve at an extraordinary pace.

An AI policy written today should not sit on a shelf for three years.

Organizations should regularly review:

• Approved AI applications
• Regulatory developments
• Security guidance
• Internal usage trends
• Employee feedback
• Emerging business risks

Governance should evolve alongside technology.

Colorado Businesses Have an Opportunity to Lead

Colorado has long been recognized as a state that embraces innovation.

From aerospace and advanced manufacturing to healthcare, engineering, renewable energy, legal services, and nonprofit leadership, organizations across the Front Range continue to invest in technology that improves productivity and strengthens economic growth.

Artificial intelligence represents another opportunity to innovate.

However, innovation without governance creates unnecessary exposure.

Business leaders who establish clear expectations today will be better prepared to adapt as AI capabilities continue expanding.

Rather than asking whether employees should use AI, leadership should ask how AI can be used responsibly, securely, and in a way that supports existing compliance obligations.

That shift in perspective changes the conversation from fear to opportunity.

The Bottom Line

Artificial intelligence is no longer a future consideration.

It is already part of the modern workplace.

Employees are using AI to solve problems, improve efficiency, and complete work faster than ever before. That trend will only continue.

Organizations that ignore AI adoption risk losing visibility into how business information is being handled.

Organizations that ban AI entirely may limit innovation while encouraging employees to find unofficial workarounds.

The strongest approach lies between those extremes.

Responsible AI governance allows businesses to embrace innovation while protecting sensitive information, supporting regulatory compliance, and reducing business liability.

Whether your organization operates in manufacturing, engineering, healthcare, legal services, or the nonprofit sector, now is the right time to evaluate how AI is being used throughout your business.

The question is no longer whether AI is part of your organization.

The question is whether your organization is prepared to manage it.

Ready to Build an AI Governance Strategy?

If you are unsure how AI is being used within your organization, now is the ideal time to take a proactive approach.

An AI governance assessment can help your business:

• Understand current AI adoption across departments
• Identify compliance and security gaps
• Reduce business liability
• Support HIPAA and CMMC readiness where applicable
• Develop practical AI policies and employee training
• Enable innovation while protecting your business

The organizations that address AI governance today will be better positioned to earn customer trust, strengthen compliance, and confidently adopt the next generation of business technology.

Frequently Asked Questions

Can businesses safely use AI?

Yes. AI can deliver significant productivity benefits when supported by appropriate governance, employee training, security controls, and documented policies.

Does HIPAA apply to artificial intelligence?

HIPAA applies whenever Protected Health Information is handled by covered entities and business associates. Healthcare organizations should ensure AI tools are evaluated before patient information is entered into them.

Does CMMC address AI?

While CMMC is focused on cybersecurity rather than AI specifically, organizations should consider how AI applications fit within their broader security, access control, and governance programs, especially when handling Controlled Unclassified Information.

Should businesses prohibit employees from using AI?

For most organizations, a complete prohibition is neither practical nor sustainable. A better approach is to establish approved tools, clear policies, employee education, and ongoing oversight.

What is shadow AI?

Shadow AI refers to employees using artificial intelligence applications without formal approval, governance, or oversight. This can increase compliance, cybersecurity, privacy, and business liability risks if left unmanaged.

What should a business do first?

Start by identifying how employees are currently using AI. From there, develop an acceptable use policy, provide employee training, review approved AI vendors, and integrate AI governance into your existing compliance and cybersecurity programs.