Can you use AI and still be authentic?

You’d quite like some help.

Perhaps you’ve got a workshop to plan and a head full of ideas that won’t quite settle into an order. Or there’s a proposal you’ve been avoiding because you know what you want to offer, but getting it onto the page feels like a job for another day.

AI looks useful. And when you try it, some of it really is.

But you run a business where your values matter. You care about how you treat people and whether you’re delivering what you promised. So alongside the relief of getting something done, there’s a little niggle.

Am I comfortable with this?

Perhaps you’re happy asking AI for ideas but feel differently about letting it reply to a client. You might use it regularly and still have questions about its environmental impact, while wondering whether everyone else has made peace with something you’re still trying to work out.

You’re allowed to find it useful and feel conflicted. Both can be true.

Using AI and being authentic can sit together. The starting point is deciding where you want support, where your own attention matters and what you’re willing to take responsibility for.

You don’t need one answer that covers absolutely everything. These five questions can help you work out where AI fits for you.

1. What do I actually want help with?

It’s surprisingly easy to open AI with a small task and emerge with a new business strategy, three offers and a podcast you never intended to start.

Some of the ideas might be good. But hang on. What did you come in for?

Getting clear about the help you want gives you a way to judge whether you’re getting it. Organising your notes before a meeting is a fairly defined job. Asking AI what direction your business should take leaves considerably more room for it to influence your thinking.

Say you’re planning a workshop. You know your subject, understand the participants and have a clear idea of what you want them to take away. AI could help you explore an activity or spot where you’re trying to squeeze too much into an hour.

You can assess those suggestions because you know the work.

Ask it to plan a session on something you know very little about, though, and it becomes harder to tell whether you’ve got a useful plan or a confident collection of things that sound plausible.

This is why I find augmented intelligence a useful way to think about AI. It can extend your thinking and help you do the work, while you bring the experience needed to assess it.

Before you start, try finishing this sentence:

“I want AI to help me with this part of the job…”

“This part” is useful. It reminds you that you can ask for help without handing over the whole thing.

2. What needs my personal attention?

There are tasks you’d happily never do again.

And then there are tasks that take time because the time is part of what you’re giving someone.

When a client raises a concern, for example, reading their message properly may help you notice something a quick summary would miss. The question they’ve asked might be straightforward, but the worry behind it deserves a little more thought.

When your business is built on relationships, that attention matters.

For me, email is one of those places. I don’t use AI to answer my emails because I want to see what someone has actually said and decide how to respond. Direct communication matters to me, so that’s a boundary I’ve chosen.

Yours might be different. You might carefully read a difficult email, decide what needs to be said, then ask AI to help you phrase it clearly. That support could help you give someone a more thoughtful response, especially when you’re struggling to find the words.

The question is what you want to stay involved in.

You could appreciate help organising your notes after a client meeting while wanting to think through the recommendations yourself. There’s no requirement to automate the next step just because you automated the last one.

Where would handing something over change the experience you want someone to have with your business?

That’s worth considering alongside how much time you could save. Sometimes the time is doing an important job.

3. Does this reflect what I actually think?

AI can give you a very convincing answer, confidently explained and perhaps presented in a little table.

And who doesn’t feel slightly reassured by a tidy table?

But a well-presented recommendation still needs your judgement.

Imagine you’re reviewing a proposal. AI suggests making the offer more compelling by promising a faster turnaround and adding extra support. It sounds attractive, but it also creates work you haven’t agreed to do.

The same issue can be less obvious in a customer response. The suggested wording might be polite and professional while neatly avoiding responsibility for something you think your business should own.

The wording works. The position doesn’t.

You start by asking for help and gradually find yourself accepting the reasoning because it sounds so complete. Before you adopt it, pause long enough to work out whether you agree.

These are useful questions to ask:

What assumptions is this making?
What information might be missing?
Could I explain my reasons to the person affected?
Am I comfortable taking responsibility for the outcome?

I ask AI to challenge my thinking, but I need to do the same in return. It doesn’t get the final say simply because it answered quickly.

You should be able to explain why you’re choosing something beyond “AI recommended it”.

If you can’t yet, you may need to explore the suggestion further or talk it through with someone who has the right expertise.

4. Am I sharing something real?

Authenticity gets a bit wobbly when AI starts filling gaps with things that didn’t happen.

You ask for help introducing a workshop, and the draft includes a personal story that isn’t yours. It fits the topic beautifully. Unfortunately, you didn’t live it.

The gaps can be smaller and easier to miss, too. A meeting summary might turn a tentative suggestion into an agreed action. If you send it on without checking, you’ve just told someone they committed to something they were only discussing.

When you’re telling people what happened, what you’ve done or what you can offer, those details need to reflect reality. The same goes for an opinion presented as yours.

Getting help describing your experience doesn’t mean giving AI permission to add to it. You can explore an idea without deciding you believe it, and use an example without pretending it happened to a client last week.

“Imagine this happens…” is a perfectly useful way to explain something.

Here’s an instruction you can add to your brief:

Work with the information I’ve given you. Keep facts, suggestions and assumptions separate. Ask me when something important is missing, and don’t invent experiences, commitments or results.

You’ll still need to review the output. Giving the instruction is the start of the check, rather than the end.

The version that sounds better isn’t necessarily the version that’s true.

5. Does this use of AI sit comfortably with my values?

This is the bigger question. And it may not have a neat answer.

You might value personal connection and wonder where automation starts to get in the way. Or your main concern might be what happens to the information you share, particularly when it belongs to a client.

Those concerns don’t disappear because you’ve found a handy use for the tool.

What helps is turning a broad value into a practical decision. Caring about privacy, for example, means looking at the information you’re considering uploading, understanding how it will be handled and checking whether you’re authorised to share it.

Transparency brings a different question: what would a client reasonably expect to know about how AI is being used in their work? If you haven’t discussed it, you may be assuming you’re on the same page.

Then there’s environmental impact, which is something I think about too.

I spend time preparing instructions and knowledge documents so I’m not starting from scratch or repeating the same corrections. Part of my intention is to avoid unnecessary back-and-forth, but I can’t tell you that this saves a particular amount of energy. I don’t have that evidence.

It’s an attempt to be more considered in how I use AI, while acknowledging that I still have questions.

Your approach might be to keep its use fairly limited while you learn more. You could decide a particular task doesn’t benefit enough to justify using it. Or you might feel comfortable proceeding once you’ve put some boundaries around the information involved.

A useful question is:

“Could I explain this choice to a customer and feel comfortable with my answer?”

If you find yourself wanting to skip over a detail, pay attention to that. There may be a boundary you haven’t quite put into words yet.

You don’t need an all-or-nothing approach to AI

You can use AI to help plan your week and still write your own client emails. There’s nothing contradictory about getting support with one task while choosing to give another your personal attention.

The decisions involve different information, relationships and responsibilities. It makes sense that your answers might vary.

If you’re not sure where your boundaries sit, start with something you’re already doing. Think about why you’re comfortable using AI for it, or what keeps bothering you when you do.

Perhaps you’re happy getting help organising notes because you can check them against the original. But you feel uneasy about asking AI to recommend what a client should do, because that judgement is central to the service they’re paying you for.

That distinction gives you something practical to work with. You’ve identified where the help is useful and where you want to remain directly responsible for the thinking.

You’re also allowed to change your mind. Learning more could make you comfortable with a use you’d previously avoided, or lead you to reconsider something you’ve been doing quite happily.

Neither means you got the whole thing wrong. It means you’re paying attention.

Let’s give AI a better brief, starting with its role

When I talk about giving AI a better brief, I mean more than finding the right words to type into a chat box.

It starts with deciding what job you want it to do.

Try this before your next task:

I’m working on [task]. I want your help with [specific part].

I’ll be responsible for [decisions, checks or communication I’m keeping with me].

These things matter in how I approach it: [relevant values or boundaries].

Ask before making assumptions that could change the outcome. Flag what I need to check or decide myself.

That won’t remove the need for judgement, but it gives you a clearer starting point for using it.

For more practical ways to guide the conversation, my blog “5 prompts I never open ChatGPT without” includes how I give context, invite challenges and explore different ideas.

You can want the help and still be thoughtful about accepting it. Some tasks will become easier, and you might choose to spend the time you save on something that needs more of you.

Running a values-led business doesn’t mean every decision about AI will feel simple. It does mean giving yourself room to make a considered choice, rather than letting the availability of a tool decide how you work.

And if business communication is one of the areas where you’d welcome support, I can help. Through AI editing and content writing, we can work on getting your actual thinking, experience and voice into words.

Get in touch and tell me where you’re getting stuck.

Frequently asked questions about maintaining your authenticity while using AI

Yes, provided its use fits how you want to operate and what you’re willing to take responsibility for. Consider the task, the information involved, the people affected and the expectations you’ve set. You may choose different boundaries for different parts of your business.
Start with the specific help you need. Then consider whether you can assess the result, whether the information is appropriate to share and where your personal involvement matters. Being able to hand a task over doesn’t mean you have to.
Try to identify the particular concern. You might need more information about a tool, a conversation with a client or a firmer boundary around one task. You can limit your use while you work that out, without needing to settle every question at once.