Artificial intelligence (AI) is rapidly changing the way organizations operate, but many business leaders still underestimate how broadly it can be applied. Human resources departments are streamlining hiring processes and identifying discrepancies in candidate information. Finance is leveraging it to consolidate and analyze data across multiple spreadsheets. Procurement employees are vetting vendors, while customer service teams are accessing customer history to deliver faster, more informed support. 

AI is a power tool. In the right hands, it can deliver significant value. Applied improperly, it can create costly mistakes, security risks and unintended consequences. As business leaders evaluate AI opportunities, there are three key realities they should understand before getting started.

1. Your employees are already using AI — and opening you up to risk.  

Many business leaders mistakenly assume employees aren’t using AI because it hasn’t been deployed within the company. But employee behavior tells a different story. According to the 2024 Microsoft & LinkedIn Work Trend Index, 75% of workers reported using AI at work, with nearly 80% leveraging their personal AI tools.

The issue isn't simply about employees using AI; it's that many organizations don't know how it's being used. Unapproved tools can expose sensitive information to security, privacy and compliance risks. And when productivity gains are created through an employee's personal AI account, the organization may not retain ownership or control of the processes, prompts or knowledge that generated those gains, meaning the benefit leaves with the employee rather than becoming an organizational asset.

 This makes a strong case for implementing AI through company-managed platforms and policies rather than leaving adoption to chance. A secure AI environment gives organizations greater visibility, control and protection while helping ensure the benefits built are retained by the business.

2. Not all AI is the same — and the distinction matters. 

AI is a broad term encompassing technologies that solve different problems. Most business leaders associate AI with generative tools such as ChatGPT, where users enter a prompt and receive a result. Agentic AI, on the other hand, trains artificial agents to perform tasks, follow business rules and execute parts of a process similarly to what an employee would do. For example, an agent might be trained to help process orders submitted via email by monitoring an inbox, filtering out spam, and identifying and routing legitimate orders.

Understanding the distinction is important because the costs, implementation requirements, risks and potential business benefits are very different. Organizations operating in regulated industries may also need to document how agentic AI is making decisions, what controls are in place and where human oversight remains part of the process. The more an AI agent participates in operational workflows, the greater the need for governance, transparency and accountability.

3. AI should solve a problem — not just check a technology box. 

Successful AI adoption starts with a strong business case, not a rush to get on board with the latest technology buzz. Without a clear end game, it’s extremely easy to rack up costs through unnecessary tools and poor implementation. 

Proper program setup takes digging into what AI can help you achieve and weighing that benefit against the total cost, including initial setup, ongoing maintenance, training, software licensing and internal resources. 

It’s also important to remember that implementation is rarely as easy as advertised. Many organizations underestimate the work required to prepare data, integrate systems, establish governance policies and train employees to use AI effectively.

Without a clear business objective and measurable return, organizations can find themselves spending significant resources on tools that fail to deliver meaningful value.

AI Specialists Here to Help

At the end of the day, software isn’t inherently difficult to build. Implementing it in your own environment in a way that benefits your business is the hard part. Look to the specialists at Doeren Mayhew affiliate GRIFFIN Global Technologies to help you evaluate AI opportunities, establish the right controls and implement a company-managed platform designed to deliver long-term business value.