Your next employee might not need a desk, a parking space, or an invitation to the holiday party.
That last part could make December planning a little easier.
But before you start mentally rearranging the organizational chart, consider this: What job would you actually give them?
I found myself thinking about that question after attending an AI presentation recently. The speaker used the phrase “digital employee,” and it stuck with me.
We tend to talk about AI in terms of tools, subscriptions, and features. Thinking about it as someone joining the team makes the conversation more interesting.
Suddenly, the questions sound familiar.
What will they be responsible for? Who will show them how we do things? What should they be allowed to see? And who gets called when the work isn’t right?
You Probably Already Have a Task in Mind
There is likely something on your desk right now that you would happily hand over.
Maybe it is the weekly report. By the time you have collected everyone’s updates, tracked down the missing numbers, and made the formatting behave, half your morning has disappeared.
Maybe it is writing meeting follow-ups. You meant to send the notes right afterward. Then the phone rang, a client needed something, and now you are trying to remember what “check with Steve” meant.
Or perhaps it is the routine email you have written so many times that you could practically recite it, yet somehow still spend fifteen minutes rewriting.
None of this work is pointless. It needs to happen.
But does every part of it need your personal attention?
That is where the idea of digital help becomes appealing. Someone, or something, could get the work started while you handle the parts that need you.
If several possibilities come to mind, our article on prioritizing AI projects can help you choose where to begin.
Meet Your New Monday Morning Assistant
Imagine a small company in Novato.
Every Monday, the operations manager gathers updates from the team and prepares a summary for the owners. There are outstanding questions, upcoming deadlines, and usually one update that requires a second request.
Now imagine an approved AI tool takes the collected updates and prepares a draft.
The manager opens it, checks the details, adds context, and follows up on anything missing.
Would that feel useful?
I suspect it would, especially on a Monday when three other things already need attention.
This is a hypothetical example, and it leaves plenty of questions unanswered. But you can picture the arrangement. The manager still knows the business and decides what matters. The first pass is already waiting.
You might even start looking forward to the weekly report.
Let’s not get carried away, though. It is still Monday.
Would You Trust It After One Good Week?
Suppose that first report is excellent.
It is clear, organized, and ready much sooner than usual. You check it, make a few changes, and think, “We should have done this months ago.”
Then the next week, someone submits an update that says, “We might be ready by Friday.”
The report says, “The team will be ready Friday.”
Small change. Different meaning.
This is the part that interests me. How do we build trust in something that can sound so confident before we have checked whether it understood the situation?
With a new employee, we expect a period of questions, corrections, and learning how we work. We might review their first few reports closely. We notice whether they ask when something is unclear.
With AI, the polished presentation can tempt us to skip ahead.
A report that says “No update received” may be more useful than one that smoothly fills the gap. At least you know where to look.
Our Microsoft AI governance article explores how businesses can make room for useful AI work while keeping review and responsibility clear.
Who Does the Digital Employee Report To?
This is where the holiday-party joke starts to wear off.
Someone still has to manage the work.
Who notices when the report stops being useful? Who updates the instructions when the business changes? Who decides whether the tool can draft a client message, send it, or do neither?
You would probably have those conversations before giving a new hire responsibility for client communications. They deserve a place in this conversation too.
And then there is access.
“Here are all our files. Have a look around.”
Most of us would hesitate to say that to someone on their first day. Yet connecting a convenient new tool can make broad access feel like a minor setup decision.
The digital employee analogy helps because it brings us back to ordinary business judgment. What does this role need, and where should its authority stop?
We cover the access side in AI Agents Are Your New Privileged Users.
What Would Your Team Do With the Time?
Let’s go back to our operations manager.
The report is finished. The details have been checked. There is still time left in the morning.
Now what?
Perhaps they call the client whose concern has been sitting in the back of their mind. Perhaps they sort out next week’s scheduling problem before it becomes this week’s emergency.
Perhaps they simply finish the day with fewer loose ends.
That last outcome deserves some consideration too.
Business conversations about AI often jump quickly to how many jobs it might replace. But handing over a handful of tasks does not tell us whether an entire position could disappear.
It does give us a reason to look more closely at the position.
Which parts depend on the person’s judgment and relationships? Which parts consume their attention because nobody has found a better way to get them done?
Before asking whether you need fewer people, it is worth asking what your existing people could accomplish with a little more room to work.
A Few Questions You Might Be Asking
Is “digital employee” just another name for AI?
It is an informal way to describe AI assigned business responsibilities. The comparison is useful, but it has limits. Software does not become a colleague with human judgment or accountability because we give it a job title.
Would I have to let it work on its own?
No. Preparing something for a person to review can be a useful role. More independence should follow evidence that the workflow deserves it.
What if my process doesn’t need AI?
Then that is a useful discovery. A better template, an existing software feature, or a simpler process might give you the help you wanted.
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I keep coming back to the first question.
If some capable digital help showed up tomorrow morning, what would you hand over?
I imagine most business owners would have an answer pretty quickly. The task they keep postponing. The report that takes too long. The administrative work that follows them home.
What would that help need to show you before you felt comfortable letting go of the task?
If you have something in mind, let’s talk. Bring the task, including the messy parts. That is a good place to start.
