A Business Leader's Guide to Enterprise AI Adoption in 2025
If you have been paying attention to the news, you've likely encountered the internet buzz surrounding artificial intelligence (AI).
As talked-about as this technology is, it can still seem intimidating to integrate AI solutions into your business. How do you introduce this technology into your workplace? What policies should you have in place to mitigate data security concerns? What are appropriate vs inappropriate uses for AI?
These are all questions you should be asking yourself before you implement AI tools into your business operations. To simplify what to expect and how to go about proper use of AI, here's your guide to enterprise AI adoption in 2025.
Why Is Artificial Intelligence So Popular in 2025?
Artificial intelligence in business has become a gamechanger in productivity and efficiency. Many businesses have jumped to incorporate AI technology, since it offers a competitive advantage over late adopters.
The push to innovate is not new, however. Countless examples throughout history show that those who fail to innovate are destined to fall behind the competition. Following this principle, businesses have adopted AI for both routine and complex tasks including:
- Customer service
- Data analytics, reporting, and prediction
- Strategy & idea generation
- Scheduling and calendar organization
- Project management
This is not an exhaustive list of AI's uses in business, since the possibilities of this technology expand every day. We do not yet know all that AI is capable of, in fact, since it is a new technology largely in its infancy. What we do know, however, is it is here to stay.
In 2025, What Are the Most Important Challenges With Using AI?
Before you hurriedly integrate AI and start encouraging your employees to use it in their everyday tasks, remember that like any technology, it has its drawbacks. Data privacy, incorrect information, content originality and ethical problems are all concerns that experts warn users of.
Data Privacy Issues
All AI tools are created through machine learning models that gather information from their environments to improve their own performance and accuracy. That means that when you input data into AI, you are effectively helping to teach the tool new things.
The issue with this has to do with data privacy. If you or your employees feed any sensitive information to an AI platform, it will retain that data with no real protection against unauthorized access.
For example, say your human resources rep uploads an employee list with salary information, social security numbers, and dates of birth to an AI model. Another employee could potentially search for that information and access this sensitive data through the AI application, which is a major data security concern.
To read more about how AI can complicate data security, check out our blog: How AI Poses a Unique Threat To Cybersecurity
False or Untrustworthy Information
Another concern with AI is the issue of false information or inaccuracies. Since generative AI tools are designed to produce an answer, when they can't find an adequate answer to a particular question on the web, they might fabricate facts or research.
This may look like making up court cases that don't exist in order to bolster an argument or otherwise producing false information. Learn more about the complications of AI use in business in our blog: Ask the Expert: Responsibly Integrating AI Business Solutions
Plagiarism
One big problem to note when using AI for writing is the issue of plagiarism. AI finds resources on the web and its databases to produce content. This means anything you take directly from AI tools can be considered plagiarized if you try to pass it off as your own.
You might not find this to be all that concerning if you're only using AI to write internal memos and content, but make sure you use AI sparingly with public-facing or company-wide content.
Especially on social media, many thought leaders are running into issues when automating content creation through AI, since it will generate identical results for many users. Many creators don't edit these AI-generated posts before hitting send, creating an endless loop of unoriginal content.
If you want to avoid looking like a copycat, consider AI-produced content as a jumping-off point. Make sure to always re-write and make posts your own instead of copying and pasting.
Ethical and Legal Issues
Like any kind of technology, AI can be abused. It can also open up new concerning questions regarding fairness, objectivity, and bias for business activities like hiring new employees.
AI has the potential to "absorb human biases" as explained in this article by Forbes about the complicated ethics of using AI to aid in hiring processes.
For example, AI can evaluate patterns such as historical biases favoring some candidates over others on the basis of sex, age, cultural background, and other protected classes. For an in-depth look on how to mitigate these issues within your company, read our blog: Can a Generative AI Use Policy for the Workplace Help Protect Sensitive Data?
What Are the Barriers to Adopting AI Technology in Businesses?
There are several barriers that may complicate AI implementation at your business. Some common roadblocks to technology adoption in general include:
- Integration issues
- Cost concerns
- Problems with configuration/settings
- Lack of user training/awareness
With these common issues preventing workplaces from innovating, it may seem like an uphill battle to get your employees on board with AI as a tool to make their lives easier. After all, if employees need to devote significant time to learning a new tool, they might just abandon it before they get any real use out of it.
That's why it's important to offer resources for your employees to learn about AI, unique ways it can simplify processes, and most importantly, how to put it to practical use. To learn more about how businesses are overcoming barriers to tech adoption, read our blog: Are Businesses Innovating? Key Barriers to Tech Adoption
How Does AI Impact the Future of Work?
By now you've likely heard a million times how AI can simplify work and streamline processes. But what are some real-world examples of generative artificial intelligence at work? Here are a few ways businesses are leveraging this technology in meaningful ways.
1. Task Management
Many businesses are investing in tools for task management, due to AI's ability to help organize and prioritize objectives to streamline workflows. Some examples of task manager tools that utilize AI include Todoist, Monday.com, ClickUp, and Trello.
2. Writing and Editing
What was once a tedious task requiring painstaking attention to detail can now be much easier with AI. Writing and editing anything from emails to social media posts and white papers can be streamlined through intuitive AI tools.
These tools can analyze text to help you reword awkward sentences, summarize high-level topics, simplify complex wording, fix grammatical errors, and much more. A few examples of writing and editing AI tools include Grammarly, Jasper, Typefully, and Wordtune.
3. Enhanced Accessibility
AI has endless potential to promote inclusivity and accessibility. With video call captioning and transcription along with other tools like text-to-speech and visual assistance applications, you can offer a more accessible workplace for your employees.
Some examples of accessibility AI tools include AccessiBe, Aircaption, Read Easy.AI, and Audioeye.
4. Notetaking and Meeting Summaries
One common way AI saves professionals time and stress is by taking notes based on video call transcriptions. Different tools can summarize what was said in meetings, pull out the most relevant points, and even create action steps moving forward.
Some examples of notetaking AI tools include NoteGPT, Evernote, Otter.ai, and Fathom.
How to Implement New Technology At Your Business
Integrating new technology into your business is no small task. You must first select the right tech stack that makes sense for your size, industry, and unique needs in serving your customers and getting work done.
Managed service providers (MSPs) are a great resource for creating the optimal tech stack for your business. Through strategic technology road maps, high-level technology consulting, and access to experienced IT professionals, you might find that an IT provider can level up your workflows and capabilities.
If you're interested in learning more about the power of AI, or if you're looking to upgrade your business's tech stack, click the button below to speak with an IT expert.