After AI training for a labor and social security attorney corporation, the office transformed in one month. The story of how 'man-hours for 120 subsidy applications were cut in half'

Hello, I am
Yuki Fukiage, Representative of Lean Stack Inc..

Introduction

This time, I am sharing a report on our results.

I usually talk about things like 'why you should use AI' or 'the risks of not using it,' but this time is a little different.

I conducted AI training for a labor and social security attorney corporation, and I want to show you how much things changed in just one month of intensive training.

I will show you all the results. Honestly, even I was surprised, haha.

I didn't expect such a transformation in such a short period of one month.

• Subsidy check tasks are now almost entirely completed by AI (they say they've cut about 90% of the workload).

• Man-hours for 120 Career Up Subsidy applications were cut in half.

• Payroll processing was dramatically shortened, and the creation of employment contracts was also streamlined.

Overall operations have truly become much easier.

But this isn't just a story about 'how nice it is that things got easier.'

The number of cases and work they can handle has increased.
In other words, the ceiling for their revenue has been raised.

This isn't about defense; it's about offense.

What was happening at the office before the training

First, let me talk about the state of things before the training began.

This labor and social security attorney corporation was by no means a 'bad office.'
On the contrary, it was an office that was running properly.

They had already introduced systems like Office Station and Jobcan.

They had a solid client base.
The staff were also working diligently.

But what was actually happening on the front lines?

We were spending an enormous amount of time on subsidy verification tasks.

For the Career Up Subsidy alone, we had 120 companies.
Checking documents for each company one by one, verifying if they met the requirements, and correcting any deficiencies.
We were doing all of this by hand.

Payroll calculation was the same.
Every single month, we would manually go through a set process.
However, that set process varied significantly from company to company.

Creating employment contracts also involved pulling up templates and editing them by hand one by one.

All of these were tasks that 'would get done if you just did them.'
But they took far too much time to complete.

And that time should have been usable for other, more important things.

• Acquiring new clients.

• Following up with existing clients.

• Expanding the scope of our proposals.

There were things we wanted to do.
But we were so chased by the work right in front of us that we couldn't get to them.

This isn't just a story about this one office, is it?
The exact same thing must be happening at labor and social security attorney offices all over the country.

What changed and how in one month

This is where the real story begins.

What exactly changed and how during the one-month intensive training?
I will lay it all out, task by task.

Subsidy verification tasks—now almost entirely completed by AI

The biggest impact was on the subsidy verification tasks.

Previously, staff members visually checked the contents of application documents one by one. Checking if they met the requirements, if there were any deficiencies in the entries, and if the attached documents were complete.

This work is now almost entirely completed by AI.

We set the subsidy requirements and check points in the AI and have it cross-reference the document contents. All humans do now is the final check of the results produced by the AI.

Saying 'almost entirely completed by AI' might sound like an exaggeration, but that is truly what is happening.

Checking tasks are, at the end of the day, just 'work that involves verifying against rules'.

That is why they are a perfect match for AI, which can be set up with clear rules.
In fact, it is sometimes more accurate than a human.
Because it doesn't miss anything.

Career Up Subsidy for 120 companies—man-hours cut in half

Applications for the Career Up Subsidy for 120 companies.

Just hearing this number, you can probably imagine it.
The workload is enormous.

If that overlaps with the busy season, you will definitely burn out.

Even if the processing time per company is shortened just a little, when you are dealing with 120 companies, the total difference is staggering.

In fact, the man-hours were reduced by about half.

Half, mind you.
Work for 120 companies is finished with the man-hours of 60.

• What can you do with the time you've saved?

• You can take on another project.

• You can propose new subsidies.

• You can spend time following up with clients.

When you think about it calmly, it's an incredible revolution.

This isn't just a story about things becoming 'easier'.
Increasing the number of projects you can handle directly translates to an increase in sales.

Well, I'm just writing about the obvious.

Payroll processing—'Wait, it's already done?' has become the norm

Payroll processing has also changed significantly.

The time that used to be taken for granted has been drastically reduced.

As I wrote in a previous article, what I did was simple.
Break down the work into processes and extract the parts that can be handed over to AI.

Checking attendance data, calculation logic for various allowances, and the review process.

By leaving these to AI, people can focus on the final verification.

As a result of the staff making this flow their own through the training, comments like 'Wait, is it already done?' started to come out naturally.

That feeling when the office atmosphere gets heavy during payroll calculation season.
Apparently, it's truly hellish for some offices, haha.

That is gone.

It might seem trivial, but for those on the front lines, this is huge...

Creating employment contracts—another quiet revolution

And then, the creation of employment contracts.

This, too, was significantly streamlined by AI, moving away from manual creation one by one.

Once employment conditions are entered, the AI generates a draft of the contract.
All that's left for humans to do is review and make minor adjustments.

You might think, 'Why not just make employment contracts by hand?'

Certainly, that's true for one or two companies.

But when it comes to dozens or hundreds of companies, the story changes.
If you can save 15 minutes per company, that's 25 hours for 100 companies.
That calculates to three full days of time saved.

These kinds of 'tasks that are small individually but become enormous when piled up' are exactly where AI shows its true strength.

Ultimately, what happened during this training is that'all operations became easier across the board'.

Subsidy checks, career-up subsidy applications, payroll calculations, and employment contract creation. Everything was cleared.

In one month, all of it.

This isn't a story about 'defense.' It's a story about raising the ceiling on revenue.

Here, I want to say what I most want to convey.

When people hear 'operational efficiency,' many think it's about 'defense'.

Cost reduction.
Overtime reduction.
Error prevention.

Of course, those are important too.
But that is not the most amazing part of the results this time.

The number of cases that can be handled has simply increased—that is what it means.

An office that was previously overwhelmed with 120 subsidy cases is now able to handle the same volume with half the man-hours.

This means they can take on new cases with the time saved.

Payroll processing finishes faster.
This means there is room to take on new advisory clients.

Operational efficiency is not about 'defense'.
It is about 'offense' to raise the ceiling on sales.

I want to shout this from the rooftops.

At the end of the day, the revenue of a professional services firm is capped by 'human hands'.

You can only increase advisory clients to the extent that the head of the office and the staff can handle.
You cannot take on more cases.

If you try to increase sales without changing this structure, you have no choice but to hire more people.

But personnel costs weigh heavily as fixed costs.
And besides, there is no guarantee you can hire good talent.

Surprisingly, the work at professional services firms is quite specialized, haha.

Improving operational efficiency with AI is about
breaking through this ceiling of 'the limits of human hands'.

You can handle more volume without increasing staff.
If you can handle more volume, your sales will increase.

And what's more, fixed costs do not increase.

From a management perspective, this is an incredible thing.

As long as you are living off advisory fees, there is always a ceiling on sales.
If that ceiling is determined by 'human hands', then you have no choice but to apply power other than human hands. That is what this is about.

It changed in one month. But this gap will continue to widen.

This time, such a significant change occurred through a one-month intensive training program.

Honestly, even I thought, 'Can it really go this far in one month?'

But the truly scary part starts here.

Offices that have started mastering AI are accelerating rapidly.
When work becomes more efficient and there is more breathing room, time is created to take on new challenges.

Those challenges then produce results, leading to further progress.

On the other hand, offices that think 'we're still fine' or 'we're still managing with manual work' remain at a standstill.

This gap will only widen as time goes on.

Right now, it might just be a 'slight difference.'
But in a year, it will be an irreversible gap.

I truly believe this is the turning point between offices that will survive and those that will not.

The crossroads are here, right now.
Not a year from now. Right now.

Summary

What happened in one month after conducting AI training for a Labor and Social Security Attorney Corporation.

Subsidy verification tasks are now almost entirely completed by AI.

Man-hours for 120 Career Up Subsidy cases were cut in half.
Payroll processing was dramatically shortened.
Even the creation of employment contracts has been streamlined.

And above all,the number of cases handled has increased. The ceiling for revenue has been raised.

This isn't just about the defensive side of 'efficiency.'
It's about the offensive side of accelerating office growth.

In one month, it changes this much.

The rest is just a matter of whether you do it or not. That's all.

Thank you for reading until the end.

'I'd like my office to receive AI training too'
'I want to consult on which tasks to start with specifically'
'Honestly, I don't believe it can change that much in a month, so I want to see it first! (We show it for free)'

If you are interested, please feel free to consult with us via the official LINE below.

Click here for LINE consultation!
↓
https://lin.ee/I73KUiN

I also share information about AI and DX on YouTube.
↓
https://youtube.com/channel/UC-f1ZI9MiME-GC0l1gwNf4w?si=WeyqGjBSvVXwSaDB