Artificial intelligence has become one of the most difficult technology decisions facing businesses today.

Some organizations are eager to adopt it. Others are cautious. And some have taken a much simpler approach:

Don't use AI.

For organizations that don't fully understand artificial intelligence, this can seem like the safest option. If you don't know what a technology can do, what data it accesses, or what risks it introduces, avoiding it altogether can feel like responsible leadership.

But there is a problem with that strategy.

Your employees may already be using it.

And when employees use AI without organizational guidance, security policies, or appropriate oversight, a business can end up with a problem that is much harder to see and manage.

At EMCO Technology, we've seen this situation firsthand.

When Saying "No" Didn't Stop AI From Being Used

We recently worked with an organization that had made a clear decision regarding artificial intelligence.

Leadership had decided that the organization would not use AI.

The reasoning was understandable. AI was evolving quickly, the risks weren't fully understood, and leadership didn't want employees putting sensitive business information into systems they didn't control.

From a security perspective, saying "no" seemed like the responsible choice.

But there was a gap between the organization's policy and what was actually happening.

Employees had begun using AI independently.

Rather than using an organization-managed AI platform, members of the staff were creating and using personal accounts.

Leadership had said no to AI.

But AI was already inside the organization.

The difference was that leadership didn't have visibility or control over how it was being used.

That changed the conversation entirely.

The question was no longer:

"Should this organization use AI?"

The better question became:

"How can this organization use AI responsibly and securely?"

The Problem With Unmanaged AI

This situation is an example of what can happen when technology adoption happens without a governance strategy.

Employees don't necessarily use new technology because they are trying to circumvent company policy.

Often, they are simply trying to solve a problem.

AI can help employees draft documents, summarize information, brainstorm ideas, analyze data, automate repetitive tasks, and accomplish other work more efficiently.

If an employee discovers that an AI tool can save them an hour of work, telling them that AI isn't allowed may not eliminate their desire to use it.

It may simply encourage them to find another way.

That creates a form of shadow IT - technology being used within an organization without the knowledge, approval, or management of the organization's IT or leadership teams.

The security concern isn't necessarily AI itself.

The concern is unmanaged AI use.

Questions quickly begin to emerge:

• What AI tools are employees using?

• Are they using personal accounts?

• What information are they entering?

• Are sensitive business or client documents being uploaded?

• Who owns the accounts?

• What happens to company data when an employee leaves?

• Are employees aware of the limitations of AI-generated information?

• Does the organization have a policy governing acceptable AI use?

• Is leadership able to monitor or manage the organization's AI environment?

Without clear answers, the organization may have very little control over its AI exposure.

This is similar to the broader challenge businesses face when productivity and security are treated as separate issues. As we've discussed in our article, Why Businesses Invest in Productivity but Overlook IT Security, technology should help employees work more effectively without creating unnecessary security risk.

AI Governance Is More Than an AI Policy

One of the most important lessons from this experience is that an AI policy by itself isn't enough.

A policy can tell employees what they should or shouldn't do.

But organizations also need the appropriate technology and processes to support that policy.

This is where AI governance becomes important.

AI governance is the framework an organization uses to determine how artificial intelligence can be selected, deployed, used, monitored, and managed.

The National Institute of Standards and Technology (NIST) AI Risk Management Framework was developed to help organizations manage risks associated with artificial intelligence while incorporating trustworthiness considerations into the design, development, use, and evaluation of AI systems. NIST also published a Generative AI Profile to address risks that are unique to or intensified by generative AI.

For businesses, that means AI governance can involve several layers.

1. Establish Clear AI Policies

Employees should understand what AI tools are approved for business use and what information should never be entered into an AI system.

A good policy should be practical.

Simply saying "AI is prohibited" may not address the situations employees encounter in their daily work.

Instead, organizations should establish clear expectations around acceptable use, sensitive information, approved tools, human review, and accountability.

2. Identify Appropriate AI Tools

Not every AI platform is appropriate for every organization.

Businesses should evaluate AI solutions based on their specific requirements, including security, privacy, administrative controls, integrations, and the type of information employees will be working with.

The goal isn't to find the newest AI tool.

The goal is to find the right tool for the business.

This is the same philosophy we apply across our Managed IT Services. Every business has different needs, risks, and goals, so technology should be evaluated within the context of the organization—not adopted simply because it is popular.

3. Give Employees a Secure Alternative

If employees are going to use AI, giving them an approved and managed solution can be far more effective than simply telling them not to use it.

A managed enterprise AI environment can give leadership greater control over how the technology is introduced and used.

It also gives employees a legitimate way to take advantage of AI without having to create their own solutions.

This principle applies beyond AI as well. A comprehensive Cybersecurity strategy should account for how employees actually work, not simply how an organization wishes they would work.

4. Educate Employees

AI governance isn't only an IT problem.

Employees need to understand why policies exist and what risks they are designed to address.

For example, employees should understand that AI-generated content can be inaccurate and that confidential or sensitive information should not automatically be entered into an AI system simply because the system is convenient.

Education turns an AI policy from a document employees are expected to follow into a technology practice they understand.

5. Continue Evaluating the Technology

AI is not standing still.

New tools, features, integrations, and capabilities are being introduced constantly.

That means an AI policy created today may need to evolve tomorrow.

Organizations should periodically review their AI tools, policies, risks, and business needs to determine whether their strategy still makes sense.

NIST describes AI risk management as an ongoing process, and its Generative AI Profile provides organizations with additional considerations for identifying and managing risks associated with generative AI.

AI Security Shouldn't Mean Avoiding Technology

This is a principle we believe applies far beyond artificial intelligence.

Good cybersecurity isn't about preventing employees from using technology.

It's about making technology safer to use.

Businesses need technology to operate. Employees need technology to do their jobs. The goal of an effective IT strategy should be to create an environment where those two realities can coexist.

AI is no different.

The Cybersecurity and Infrastructure Security Agency (CISA) has also emphasized the importance of responsible AI use and governance. CISA's AI roadmap specifically calls for governance and oversight processes around AI use, while its AI cybersecurity guidance addresses emerging security considerations surrounding AI systems.

Security should support productivity—not unnecessarily fight against it.

As we discussed in Why Businesses Invest in Productivity but Overlook IT Security, strong security doesn't have to mean making technology unnecessarily difficult to use.

The goal should be to find the right balance between security, usability, and productivity.

The Safest Option May Not Be "No"

For the organization we worked with, the solution wasn't simply to reverse its position and tell everyone to start using AI.

We helped the organization take a more intentional approach.

Together, we worked toward establishing an AI policy and implementing enterprise AI systems that could be managed by leadership.

That changed the situation significantly.

Instead of employees independently deciding which AI tools to use, the organization could begin establishing a controlled environment.

Instead of AI being something leadership couldn't see, it could become something leadership could manage.

Instead of employees working around the organization's technology strategy, the technology strategy could give employees a safer way to work.

And most importantly, the organization could begin having a productive conversation about how AI should be used, rather than simply whether it should be used.

AI Isn't Going Away

Businesses don't have to adopt every new technology.

In fact, they shouldn't.

At EMCO Technology, we believe businesses need the right technology at the right time, not technology simply because it happens to be popular.

That's why understanding the technology is so important.

Our earlier article, Discerning the Hype of AI and ChatGPT for Your Business, explores both the opportunities and risks businesses should consider when evaluating artificial intelligence.

The important distinction is between thoughtful technology adoption and uncontrolled technology adoption.

AI can create meaningful opportunities for productivity and automation. It can also introduce new risks when organizations don't understand how it is being used or what information is being exposed.

The answer isn't fear.

It's preparation.

What Should Your Business Do About AI?

If your organization has been avoiding AI because you don't fully understand it, that's understandable.

But don't let uncertainty turn into inaction.

Start by asking a few basic questions:

Do we know whether our employees are already using AI?

Do we have an AI policy?

Do employees know what information they should never provide to an AI system?

Are we providing employees with approved AI tools?

Can leadership manage the AI platforms being used by the organization?

Have we considered how AI fits into our existing cybersecurity and compliance strategy?

If the answer to several of these questions is "no," your organization may have an AI governance gap.

And that gap doesn't necessarily mean you need to immediately implement AI throughout your business.

It means you should understand what's happening before making your next decision.

The Goal Isn't to Say Yes to Everything

There is a tendency to view AI discussions as a choice between two extremes:

Use AI everywhere or don't use AI at all.

We don't believe either approach is the right answer for every business.

Technology decisions should be intentional.

Sometimes the right answer is to implement a new technology.

Sometimes the right answer is to wait.

And sometimes the right answer is to establish the policies, security controls, and management structure necessary to use that technology safely.

The important thing is that the decision is informed.

This is ultimately what a good IT strategy should provide: a framework for making technology decisions based on your business's actual needs, risks, and goals.

For organizations that need more strategic technology guidance, EMCO's Fractional CIO/CTO services can provide leadership and planning without requiring a full-time executive technology position.

Because sometimes saying "no" isn't the safest option.

Sometimes the safer option is to understand the technology, establish the right guardrails, and give your employees the tools they need to succeed.

AI doesn't have to be something your business fears.

With the right strategy, governance, and security, it can become another tool that helps your people—and your business—flourish.

Is Your Business Ready for AI?

EMCO Technology helps businesses evaluate their technology environments, identify risks, and develop practical technology strategies designed around their specific needs.

Our Managed IT Services provide proactive technology management, security, monitoring, and strategic support for businesses throughout the Greater Philadelphia region.

Our broader technology services also include Cybersecurity, Cloud Services, Backup & Disaster Recovery, and other solutions designed to help businesses build secure and reliable technology environments.

If you're unsure how AI should fit into your organization's technology strategy, contact EMCO Technology to start a conversation.

The goal isn't to adopt AI because everyone else is doing it.

The goal is to make sure that when your business does use AI, you're using it the right way.