The Hidden Purpose of AI Implementation in Labor and Social Security Attorney Offices is to Solidify Management Systems

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

DX support for labor and social security attorney offices "Yohakuru"
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https://www.yohakuru.com/

■ Track record of AI/DX implementation in labor and social security attorney offices
・Shinka Social Insurance Labor Consultant Corporation: 80% reduction in subsidy check tasks, over 50% reduction in document creation and procedural tasks
・Asterisk Social Insurance Labor Consultant Office: 95% reduction in work rules tasks
・Four Season Social Insurance Labor Consultant Corporation: 80% reduction in payroll processing tasks

Click here for free consultations and demos
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https://www.yohakuru.com/#contact

Introduction

In this article, I will write about AI implementation in labor and social security attorney offices from a slightly different perspective.

Many professionals think of AI and DX as "tools for operational efficiency."

Speeding up payroll processing.
Shortening document checks.
Reducing time spent creating work rules.

Of course, that is correct. But if you stop there, it is a significant missed opportunity.

Let me start with the conclusion.

The hidden purpose of AI implementation for labor and social security attorneys is to strengthen the office.

Operational efficiency is
no longer the goal.

It is the entry point.

The scope that AI can handle is expanding rapidly. Therefore, if you only look at "how many hours can be saved," you will overlook the true value of DX for labor and social security attorneys.

What you should be looking at is what lies beyond that.

Can you increase sales? Can you improve customer satisfaction? Can you break down reliance on specific individuals? Can you build an office that does not stop even if someone quits?

In this article, I will write quite candidly about the "hidden purpose" that labor and social security attorney offices should truly aim for with AI implementation.

The misconception about AI for labor and social security attorneys that everyone believes

First, let me clarify this point.

When they hear the term AI for labor and social security attorneys, many people think this.

"You want to reduce work hours, right?"
"You want to reduce overtime, right?"
"You want to cut labor costs, right?"

Yes. You are not wrong.

But that is a bit shallow.

To put it a bit bluntly, if you only view AI implementation as a "time-saving tool," you are losing out significantly as a business owner.

This is because improving operational efficiency with AI is already the norm.

Implementing AI shortens the pre-processing of payroll.
It reduces the time spent checking subsidies.
It produces drafts of work rules quickly.

These things will become increasingly common from now on.

In other words, saying "we can improve efficiency" will no longer be a strong selling point.

What matters is how the office changes as a result of that efficiency.

This is the point.

Work that took a whole day now takes two hours.
That in itself is great.

But what you really need to look at is how you use those six saved hours.

Will you use them for client support?
Will you use them for proposals?
Will you use them for acquiring new business?
Will you use them for training?

What the office head, as a business owner, should be thinking about is not "work has decreased," but "has the office's way of competing changed?"

What a labor and social security attorney office should really be looking at is sales expansion

When it comes to DX for labor and social security attorney offices, for some reason, everyone only talks about cost reduction.

How many hours were reduced.
Overtime pay was reduced.
We didn't have to hire more people.

Of course, that is important.

But I want you to stop and think for a moment.

Is the value of introducing AI really just cost reduction?
No, it is not.

Actually, the main objective is
sales expansion.

For example, let's assume there is a labor and social security attorney office that has reached its limit in handling 50 client companies.

Payroll processing, hiring and termination procedures, labor consultations, subsidies, and work rules.

The staff is overwhelmed with monthly tasks, and if they take on any more clients, the quality of service will drop.

Therefore, sales and referrals are inevitably held back at some point.

I believe there are quite a few offices like this.

But what if processing capacity increased through AI and DX, allowing the same number of staff to handle up to 100 companies?

This is not about
saving time; it is about changing the ceiling on sales.

An office that was limited to 50 companies could handle 100.
Simply put, the potential for doubling sales emerges.

Of course, in reality, this varies depending on unit prices, the scope of work, and the quality of the clients.

However, in terms of structure, that is what it comes down to.

A significant portion of a labor and social security attorney office's revenue is determined by "how many companies can be handled without compromising quality."

In other words, the limit on the number of companies handled is the ceiling for sales.

Introducing AI is an investment to push that ceiling higher.

If you ignore this and only ask, "How many hours can be saved?", the conversation becomes quite small-scale.

It is the structure, not the people, that determines the limit on the number of companies handled

So, why can't many labor and social security attorney offices increase the number of companies they handle?

Is it because they lack personnel?
That is half correct.
But the essence is a bit different.

What determines the limit on the number of companies handled is not the number of people, but the structure.

Payroll calculation rules for each client are kept in the staff's heads. The perspective for checking documents depends on the intuition of veterans. Revision histories for work rules are scattered across Word files and memories.

If you increase the number of clients in this state,
naturally, you will reach a limit.

This is because the office's processing capacity relies on 'human memory' and 'human effort'.

Even if you increase staff,
if the structure remains the same, it will become difficult.

Even if you hire new employees,
there is too much to learn.

Veterans have to take time to teach them.
In the end, the workplace becomes even busier while training is taking place.

This is a common hell.

What really needs to be changed is right here.

Rules for each client.
Past decisions.
Check perspectives.
Output formats.

Take these out of people's heads and accumulate them on the AI side.

In other words, turn the office's knowledge into assets.

If you can do this,
the limit on the number of companies you can handle will change.

You won't be handling 100 companies through sheer willpower.
You will change the structure so that you can handle 100 companies.

AI introduction increases customer satisfaction

There is another value often overlooked when introducing AI to labor and social security attorney offices.

It is customer satisfaction.
You could also call it CS.

Clients of labor and social security attorney offices are not just looking for an office that is 'fast at payroll processing'.

Of course, being accurate and fast is a major prerequisite.
But what they are really looking for is what comes after that.

Being able to consult when in trouble.
Being told things in advance.
Proposing solutions while understanding the company's circumstances.
Properly facing the anxieties of business owners.

This is where the value lies.
But in reality, how is it?

Staff members are chased by monthly payroll processing.
They are chased by hiring and resignation procedures.
They are chased by checking documents for subsidies.

As a result, you lose the margin to take a step further into your clients' businesses.

"I actually want to make proposals"
"I actually want to spend more time on consultations"
"I actually want to anticipate and look into the client's situation"

Even if you think that way, your day ends with the tasks right in front of you.
That is just too painful...

This is the reason for reducing the workload through AI and DX.

It is not to reduce staff.
It is for people to return to work that only people can do.

Return the time spent on transcribing and checking payroll calculations to dialogue with clients.
Return the concentration drained by document creation to preventing labor disputes and making proposals.

When you do that,
customer satisfaction will naturally increase.

The churn rate will also decrease.
Referrals will increase.
And as a result, it will also return in the form of sales.

In other words, while AI introduction looks like back-office efficiency, it is actually a story about increasing front-office value.

Breaking down reliance on specific individuals makes the office stronger

The quietest and scariest management risk for a labor and social security attorney office.
That is reliance on specific individuals.

"Only that person knows how to do Company A's payroll calculation"
"Only the predecessor knows the history of Company B's work rules"
"It's scary to check this subsidy without having a veteran look at it"

I think this state is not uncommon.
But let me be clear.

This is not a strength of the office.

It is a risk.
And a quite significant one at that.

If the person in charge gets sick, work stops.
If they resign, it cannot be handed over.
Work concentrates on that person during busy seasons.

The head of the office also knows that "we are in trouble without that person," so the organizational design becomes increasingly distorted.

This is quite fragile as a management foundation.
So, what should be done?

The answer is simple.

Do not keep the veteran's knowledge only inside the veteran's head.

Accumulate payroll calculation rules for each client in the AI.
Equip the AI with checking perspectives.
Preserve past decision-making history as an asset of the office.

By doing so, even if one person in charge falls ill, there is room for other staff members to handle the work.

Of course, the final check should be performed by someone with professional expertise.

Having one or two people who are well-versed in payroll calculation to perform the final, responsible verification is necessary.

This is essential.

However, it is not necessary for veterans to handle everything, including the organization of the pre-process, reading, reconciliation, and identifying checking perspectives.

If you load knowledge into the AI, you can create a state where even young staff or interns can participate in tasks up to a certain standard.

This is bigger than you might imagine.
It does not mean that experts become unnecessary.

It means making the knowledge of experts usable by the entire organization.

What Yohakuru provides is not just efficiency, but a management foundation.

Let me talk about Yohakuru here.

Yohakuru is not simply creating an 'AI tool to make labor and social security attorney work easier'.

Of course, as a result, the workload decreases.

At Shinka Labor and Social Security Attorney Corporation, subsidy checking tasks have been reduced by 80%, and document creation and procedural tasks have been reduced by over 50%.

At Labor and Social Security Attorney Office Asterisk, work related to work rules has been reduced by 95%.

At Labor and Social Security Attorney Corporation Four Seasons, payroll calculation tasks have been reduced by 80%.

Looking at the numbers alone, it is a very easy-to-understand operational efficiency improvement.

However, what Yohakuru truly wants to create is what lies beyond that.

• An office that could only handle 50 companies becomes able to handle 100.

• Staff members who were chased by tasks become able to spend time on client support.

• The judgment criteria that existed only in the minds of veterans are accumulated in the AI.

• New hires and young staff can start working while utilizing the office's knowledge from the very beginning.

• Even if one person in charge falls ill, the office does not come to a halt.

This is what Yohakuru is aiming for.

In other words, it is not about efficiency, but about strengthening the management foundation.
It is not just a matter of killing two birds with one stone.

Sales expansion.
Improvement of customer satisfaction.
Elimination of reliance on specific individuals.
Reduction of training costs.
Resilience against hiring difficulties.
Reduction of human error.

These things start to move forward all at once.
It really is a case of killing many birds with one stone.

Will you end your Labor and Social Security Attorney DX journey with just the introduction of a convenient tool?
Or will you go as far as reshaping the management foundation of your office?

This gap will only continue to grow from here on out.

Thank you for reading until the end today.

"I want to strengthen the entire office structure, not just reduce payroll calculations and document checks."
"I want to reduce reliance on veterans and create an organization that functions regardless of who is in charge."
"Honestly, can Yohakuru really help me aim for sales expansion and an 80% reduction? I'd like to see a demo!"

If you feel this way, please feel free to consult with us below.
We offer free demonstrations and show real-life examples of efficiency improvements.

Please request a free consultation here!
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https://www.yohakuru.com/#contact

Well then, see you in the next article.