Quick Links
Quick Links
AI has become one of those topics that is almost impossible for business owners to avoid.
There is always a new tool to try, a new feature being released, or someone explaining how AI can completely change the way you work.
And some of it really is impressive.
AI can help write content, analyze data, organize information, create images, assist with coding, automate repetitive tasks, and speed up work that used to take hours.
But after the initial excitement wears off, most businesses run into a much more practical question:
What are we actually supposed to do with all of this?
Because using AI well takes more than signing up for ChatGPT and testing a few prompts.
Someone still has to figure out where AI makes sense, what tools to use, how those tools fit into existing workflows, and how to make sure the final work is actually good.
For a business owner who already has plenty to do, that can quickly become another job.
The good news is that it does not have to be yours.
One of the easiest ways to make AI more complicated than it needs to be is to start with the tool.
You hear about a new platform, create an account, spend a few days experimenting, and then start looking around the business for something to do with it.
A few weeks later, you have another subscription and no real idea if it has made anything better.
Instead, start with the work.
Maybe your marketing team creates a great blog post, but nobody has time to turn it into social posts, emails, videos, and other content.
Maybe your customer service team keeps answering the same questions. Maybe someone spends hours every month pulling information from different spreadsheets to create reports.
Maybe you want to produce more video content, but editing takes too long.
Maybe there is an administrative process that everyone on your team dreads.
Those are business problems.
That is where the conversation about using AI should begin.
The question is not, “Where can we use AI?” It is:“How can we make this process better?”
AI may be part of the answer. It may only help with one small piece of the process. In some cases, it may not be the best solution at all.
That is okay. The goal is not to use more AI. The goal is to make the business work better.
And once you know what you are trying to improve, another question naturally follows.
Who has the skills to help you improve it?
This is where things get interesting.
AI is not just changing the tools businesses use. It is also changing the skills businesses need from the people doing the work.
Think about hiring a content writer a few years ago.
You probably looked for someone who could research a topic, write clearly, understand your audience, and perhaps work with SEO.
You still need all of those things.
But now that same writer may also use AI to help with research, brainstorming, content repurposing, optimization, and workflow efficiency.
They also need to recognize when AI gives them something inaccurate, generic, or simply bad.
The same shift is happening in marketing, design, development, customer service, operations, analytics, and other fields.
The underlying expertise still matters. The tools around that expertise are changing.
You may already have a great team, but nobody on that team has experience using AI for the particular problem you are trying to solve.That does not mean you need to replace anyone.
It also does not mean you need to create another full-time position every time a new skill becomes useful. Sometimes you simply need access to someone who already knows how to do the work.
That is where a freelancer can make a lot of sense.
Let’s say the problem is your marketing workflow.
You know your team could get more mileage out of the content it already creates, but nobody has the time to build the process.
You could spend the next few weeks researching tools, watching tutorials, comparing subscriptions, developing prompts, testing outputs, and figuring out how everything should fit together.
Or you could work with a marketing freelancer who already has experience doing exactly that.
That does not mean you should search for someone simply because their profile says “AI expert.” In fact, I would be careful about doing that.
The best person for the job should understand the actual work before you worry about how many AI tools they know. AI can help an experienced professional work faster, generate more options, and take on tasks that previously required much more time.
But the tool does not replace the expertise that tells them what good work looks like.
That distinction becomes even more important as AI gets better at producing work that looks finished.
One of the biggest advantages of AI is speed.It can also be one of its biggest problems.
Ask for ten ideas and you can have them almost instantly.
Great.
But if all ten ideas are terrible, you have just created bad ideas faster.
The same applies to AI-generated articles, designs, analysis, customer responses, code, and just about anything else.
Someone still has to look at the output and ask:
That requires judgment. And judgment usually comes from experience.
A freelancer who already understands the work can use AI as another tool in their process while still knowing when the output needs to be changed, challenged, or ignored entirely.
That is a very different thing from simply knowing how to write a prompt.
So how do you figure out if someone actually knows what they are doing? Go deeper than asking which AI platforms they use.
A long list of tools may sound impressive, but it does not tell you much about the results they can produce.
Ask them to walk you through their process.
A strong freelancer should be able to explain the role AI plays without making it sound like AI is doing everything for them.
This is especially important. Ask what happens after AI produces something.
You want someone who expects AI to make mistakes and has a process for catching them.
This may be one of the most useful questions you can ask. Someone who understands AI should also understand its limits.
There should be moments where their answer is, “I would not use AI for that,” or, “AI could help with part of that process, but I would still handle this portion myself.” That is a good thing.
You are looking for judgment, not enthusiasm for using AI everywhere.
Once you find the right person, there is still no reason to overhaul your entire business at once. Start with one thing.
A freelancer can help map out what happens today, identify where time is being lost, and look for places where using AI could actually improve the process.
Then you test it.
Do not measure success by how quickly AI generates something.
Look at the whole process.
Ask:
That last question can be revealing.
If an AI tool generates something in two minutes but someone spends an hour fixing it, you may not have improved much.
Using AI should make the overall workflow better.
That is the metric that matters.
This sounds strange, but successful AI adoption should eventually become a little boring.
At first, there is a lot of experimentation. You are testing new tools, trying new prompts, and figuring out what works. Eventually, the useful parts simply become part of the process.
Your team stops talking about using AI and starts talking about the work.That is a good sign.You are no longer trying to prove that your business is using AI.
You have simply found better ways to get things done. Of course, those processes will continue to evolve.
New tools will appear. Existing tools will improve. Your business will develop new needs.
A freelancer who understands both the work and the technology can help you keep improving the process without chasing every new tool that gets released.
This is one of the areas where AI gets especially interesting.
Smaller businesses have historically had to make some tough choices about what they could realistically do. AI is lowering some of those barriers.
But access to the technology is only part of the equation.
Think about video editing software. You can buy the same software a professional video editor uses. That does not mean you suddenly know how to edit a great video.
AI works the same way. The tool expands what is possible. The person using it determines what you actually get from it.
Pairing specialized freelance talent with AI can give a smaller business access to capabilities that once required much larger teams or budgets. One experienced professional using the right technology may be able to accomplish significantly more than that same role could have a few years ago.
That is a much bigger opportunity than getting AI to write an email faster.
Business owners already wear enough hats.
You should understand how AI is being used in your business. You should ask questions. You should set expectations around quality, accuracy, privacy, security, and human review.
But you do not need to personally master every AI platform that could potentially help your company.
You probably did not start your business because you wanted to spend your evenings comparing automation tools or learning advanced prompt techniques. You started it because you had an idea, a skill, or an opportunity you wanted to build something around.
Using AI should help you spend more time doing that.
Sometimes the smartest move is finding someone who already understands the work, knows how to use the technology, and can help you figure out how the two fit together.
You do not need a complete AI strategy before asking for help.
You may simply have a process that takes too long, a project your current team does not have the skills to tackle, or an idea you are not quite sure how to execute.
That is enough to start the conversation.
The FreeUp Client Success Team can talk through what you are trying to accomplish, help identify the skills your project requires, and help you determine what kind of freelancer makes sense for the work.
Book a call with our Client Success Team and tell us what you are trying to improve.
No minimums. Fast access to top US and international talent.
Start Hiring