4 Hours of Time Saved per Employee per Day Thanks to AI Automation

When you create something that genuinely makes someone else happy, it always feels good. I feel that when campaigns turn out to work, when a sharper positioning suddenly lands, but also when it comes to automation. Maybe especially with automation, because then you are not only making something smarter. You are making someone’s working day lighter.

That is why I decided to help my childhood friend Koen.

Koen inspects houses with his company Gewoon Koen (Normal Koen). And anyone who thinks a working day like that mainly consists of three inspections of about an hour each has no idea what comes afterwards. Because after those inspections, the real work begins. Then 37 sections have to be worked out.

Everything has to be described line by line, repair costs have to be estimated, photos have to be found, comments checked, and eventually a report has to be created that is professional enough to be taken seriously by a buyer, real estate agent or mortgage provider.

That is monk’s work.

And when you think you are done, the administrative part still begins. Creating invoices, following up on overdue payments, looking up customer details, finding emails, changing appointments, updating the calendar and, of course, staying available for new requests in between.

To be honest, I first thought Koen had become a little lazy when he started doing inspections only four days a week and used Fridays to finish overdue reports. But I take that back. This profession as a home inspector is simply 60 to 80 hours a week of hard work. And the heaviest work is not even the inspection itself, but everything that comes after it.

First, Get the Basics Right

The first step was not AI. That is often the mistake people make. They want to jump straight to the magic, while the basics are still messy. But AI on top of chaos mostly creates faster chaos.

So we started with normal automation.

Koen moved from a Word template and loose administration to an automated online booking system, customer administration, invoicing system, mail automation and report templates.

That may sound less exciting than AI, but it already made an enormous difference.

A customer books an inspection online. Koen approves the date and time or suggests another moment. The system automatically confirms the appointment to the customer and immediately sends the invoice by email. No more ten phone calls a day. No more stopping by the side of the road three times a day to check the calendar. No more separate invoices because someone arranged something by email or phone.

That saves not only time, but also attention.

Because every interruption pulls you out of your work. Especially when you are on the road all day, inspecting houses, speaking with customers and also trying to remember who asked what.

Then came the reporting process. When Koen came home, he could immediately start filling in the next report. No need to first search through emails for customer details and property information, because all of that was already neatly prepared. Upload photos per section, fill in the lines, click “create report”, check and send.

The customer then automatically receives an email saying the report is ready online. And because Koen really does not want to be busy calling people to ask whether the invoice can finally be paid, the customer can only download the report once the invoice has been paid.

No awkward payment reminders. No loose administration. No hassle.

Just a process that works.

So We Added a Realistic Avatar Too

Because we had to adjust the website for online bookings anyway, we decided to add something extra right away: a realistic AI avatar.

Thanks to AI and platforms such as ElevenLabs and HeyGen, it is now relatively easy to create a digital avatar that visitors can talk to online. But again, I did not want to use it only as a gadget. An avatar can be fun, but it should also solve something.

And in Koen’s case, it does.

A large part of his requests comes from international clients. On average, around 70% of his requests come from people from India, China, Korea or Japan. Koen does not speak those languages himself, but his AI avatar can help customers in their own language. They can ask questions about the inspection, the process, the costs, the planning and even request a booking directly in the language they know best.

That does not only make the process easier for the customer. It also makes it calmer for Koen. Fewer misunderstandings. Less back-and-forth emailing. Fewer phone calls where language becomes a barrier from the very first sentence.

That, to me, is good automation as well. Not adding something because it is technically possible, but because it makes a real problem smaller.

Practice Is Always Slightly Different from Theory

Of course, not everything worked perfectly straight away. It never does.

Koen had to get used to the new system and the new way of working. And I had to discover in practice that there are always exceptions you cannot fully foresee in advance.

For example, when a real estate agent books the inspection, the customer has to pay the invoice, but the agent wants to receive the report. That seems like a small detail until your system is not set up for it. Then you realize that automation only becomes truly good when you do not only build the standard process, but also understand the exceptions.

So that required custom work. And that is exactly how you should do it. First get the basics right. Then see where things start to rub. And only then continue automating.

The Real Gamechanger Was AI

Three weeks ago, Koen went on holiday with his girlfriend for two weeks. I took my chance.

I wanted to surprise him when he came back with the real gamechanger: AI automation for his reports. Not as a toy. Not as a gimmick. But as a practical solution for the work that was costing him hours every day.

The mobile app now allows him to take a photo for each section during the inspection, which is uploaded immediately. He then records what he sees on location. Just in normal language.

For example, for the kitchen:

“The kitchen is in good condition. Some scratches here and there. Equipped with modern built-in appliances such as an oven, dishwasher, fridge, freezer and a Quooker for hot water. The sealant joints need to be replaced to prevent leakage. The costs for this are approximately 150 euros.”

How he says it does not really matter. The AI behind the system has been trained on more than 400 reports and therefore understands how such text should be structured logically. Not as a raw transcript of what Koen says, but as clean report lines in the right order.

For example:

Line 1: Modern kitchen with minor signs of use.

Line 2: Equipped with modern built-in refrigerator, freezer, oven, Quooker and dishwasher.

Line 3: Sealant joints need to be replaced due to possible leakage damage. Estimated costs: €150.

That may seem small, but for Koen this is huge. Because he no longer has to first inspect on location, then make notes, later search through photos, think again at home about what exactly he saw, and then write it all out neatly.

He does it once. On location. While he is already looking at it.

Human in the Loop Remains Necessary

After the final photo and the final spoken message, Koen presses “create report”. By the time he gets home, the entire report is ready.

No notebook. No loose calendar. No pile of photos he has to go through again. No evening work where he still has to write out three reports while his day should actually be over.

But AI is smart, not flawless. So yes, Koen always checks. Human in the loop, as they so nicely call it.

That is also how you should use AI in these kinds of processes. Do not trust it blindly. Do not pretend the system knows everything better. Let AI do the heavy preparation, so the professional can use his experience for checking, nuance and final responsibility.

After a short inspection of a few minutes and sometimes a small adjustment, the reports are online. Where he used to spend hours, he can now sometimes be done in fifteen minutes.

And then Koen can do what he actually feels like doing.

For example, lighting the BBQ and making a good ribeye.

From Administration to Peace of Mind

The first automation round already saved him about an hour a day. Fewer phone calls, less administration, less invoicing hassle and less searching for information.

But with AI automation added, the time saving increases to around four hours per day.

That is not only efficiency. That is quality of life.

Because four hours less administrative work per day does not only mean you can do more. More importantly, it means you no longer have to keep chasing yourself. Less stress. Fewer evenings behind the laptop. Fewer Fridays full of overdue reports. More room to do the work you are good at and still have some space left to be a normal human being afterwards.

That, to me, is the real value of AI automation.

Not in the promise that everything happens by itself. Not in the hype that AI completely replaces people. But in smartly removing work that costs energy while adding hardly any real value.

If AI ensures that a craftsman spends less time on report lines, invoices, searching and repetition, then his work does not become less human.

It gives him more room to be human.

And when you manage to do that, automation no longer feels technical.

It simply feels good.

This case study also belongs in the wider AI in Business overview.