Is it true that "AI has nothing to do with us because we are a small professional firm"!?

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

Introduction

"AI and DX are topics for large firms, right?"
"We are just the principal and a few staff members, so it probably doesn't apply to us."

This is something I hear very often in professional firms.

I understand the sentiment.
AI implementation case studies usually feature large corporations.
They are almost always stories about organizations with hundreds of employees spending tens of millions of yen on systems.

It is no wonder you think, "This has nothing to do with a five-person firm like ours."

But let me tell you, I can state this clearly.

It is actually the opposite.
Small firms are the ones that need AI the most.

In this article, I will write honestly about why "small firms need AI the most."
And about the overwhelming advantage that small firms have when it comes to AI implementation.

The reality behind "It doesn't apply to us because we are small"

First, I want to ask those who think "AI has nothing to do with us because we are small."

Isn't the burden on each individual actually heavier in a small firm?

Large firms have teams dedicated to payroll.
They have departments specializing in procedures. They also have staff dedicated to labor consultations.
Work is divided.

Small firms are different.

The principal handles sales, staff handle payroll, perform procedures, answer calls from clients, prepare documents, and issue invoices at the end of the month.

One person plays many roles.

In other words,the damage when one person leaves is incomparable to that of a large firmisn't it? I believe the same can be said even for part-time staff.

In my previous article, I discussed how "not being able to function without that one person" is the greatest risk.

This is more serious for smaller firms.

If one person leaves a large firm, there is a possibility that the remaining members can cover for them.

However, if one person leaves a five-person firm, 20% of the work vanishes.

It's not that it doesn't matter because you're small.
It's fatal because you're small.

"AI is expensive" is a thing of the past

"But doesn't AI cost millions to implement?"

I hear this very often, too.

Certainly, that might have been true five years ago.
Developing a dedicated system, setting up servers, paying maintenance fees—it was an amount that small and medium-sized firms couldn't afford.

But today, in 2026, it's different.

There are tons of AI tools available for a few thousand to tens of thousands of yen per month.
And these are tools that are actually usable for professional practice.

The era of "implementing multi-million dollar systems" is long gone.

Implementing AI today is closer tothe feeling of installing an app on your smartphone.

There is no need to set up a large-scale project.
First, try it with one task, and if it goes well, expand it.
If it doesn't work, try a different approach.

This ability to "start small" is the biggest feature of AI today.

And the fact that you can start small means thatit is actually a perfect fit for small firms.

The "overwhelming advantage" that small firms have

This is actually the part I most want to convey.

Small firms are actuallyat an advantagewhen it comes to AI.

Why?
There are three reasons.

1. Faster decision-making

When a large firm tries to introduce AI,

• they first have to get approval.

• Coordinate between departments.

• Get everyone's agreement.

• Set up an implementation committee.

It is common for it to take half a year and still be "under consideration."

Small firms are different.
If the head of the firm says "let's do it," you can start tomorrow.

This speed of decision-making directly translates into a difference in competitiveness.

While a large firm is spending half a year considering it, a small firm has already been using AI for three months and has seen a radical change in operational efficiency.

This is actually happening.

2. You can see the big picture of the business

In large firms, most people only see their own assigned tasks.
Only management understands how the whole thing works.

In small firms, the head of the firm understands the big picture of the business.
They can see everything: which clients have what work, and who is doing what.

This is incredibly important for AI implementation.

To use AI effectively, you need someone who can judge "which tasks to change and how to change them."

In large firms, just finding someone who can make this judgment is a struggle.
In a small firm, the head of the firm can make that judgment directly.

The person who knows the business inside and out can become the leader of the implementation.
This is a strength that only small firms have.

3. Flexible to change

Large organizations have high resistance to change.
There is always someone who says, "I don't want to change the way we've been doing things."

Small firms have fewer members, so the transition to new methods is smooth.

The head of the firm sets the policy and tries it out together with the team.
If it goes well, it becomes the new standard.

Because the organization is small, change is fast.
This is not a weakness, but a clear strength.

Real-world examples of small firms transformed by AI

Let me tell you about a certain labor and social security attorney's office.
It is a three-person firm consisting of the principal and two part-time staff members.

They have 15 client companies. They handle monthly payroll, enrollment and withdrawal procedures, and a few filings per year. It is what you would call a "neighborhood labor and social security attorney's office."

The principal used to work from 8:00 AM to 9:00 PM every day. Even after the staff went home, he would stay behind alone to clear up client paperwork day after day.

"I want to hire another person, but it's tough when you consider the labor costs."

He had been thinking that for a long time.

What happened after this firm worked on improving operations by utilizing AI?

Payroll processing time was reduced by approximately 60%.

Specifically, they entrusted the confirmation of attendance data, the calculation logic for various allowances, and the checking process to AI.
The principal and staff verify the results produced by the AI and perform only the final check.

Furthermore, by setting the business rules for each client into the AI,tasks that staff previously "couldn't understand without asking the principal" were drastically reduced.

Because information that was previously only in the principal's head was organized within the AI, the number of tasks that staff could complete on their own increased.

As a result, the principal was able to go home by 7:00 PM.
With the time saved, he resumed visits to existing clients and acquired two new clients in three months.

Instead of hiring one person, they streamlined operations with AI, thereby increasing sales while keeping costs down.

Is this a "story about a large firm"? It is something that actually happened at a three-person firm.

The era where you can make a living on retainer fees alone is already coming to an end

Let me talk about a slightly bigger picture here.

I will be honest.
Professionals must also be sensing it deep down.

Running a firm on retainer fees alone will become increasingly difficult in the future.

It is also guaranteed that securing talent will be difficult.

This is not just me saying this on my own.
In reality, firms that are taking action are already moving.

A labor and social security attorney office that has made support for introducing corporate-type DC (defined contribution pension plans) a new pillar of revenue.
An office that is shifting in earnest toward human resources consulting.
An office that has established grant proposals as a revenue source separate from advisory fees.

This is not just a story for large offices.
In fact, it is even more urgent for smaller offices.

The number of advisory clients is limited. Raising advisory fees is not easy.
In that case, the only option is to expand the range of services you can provide and increase the unit price per company.

But this is where the problem arises.

You want to start new services. You want to make corporate DC proposals.
You also want to focus on consulting.

But you are so busy with monthly payroll and procedures that you don't have the time.

This is a very realistic story, isn't it?

You have things you want to do. You can see the direction.
But you are so busy with the work right in front of you that you cannot take that first step.

That is exactly why we need AI.

Use AI to streamline daily operations and dedicate the saved time to the "next pillar."
One year from now, there will be an irreparable difference between offices that were able to do this and those that were not.

In the example earlier, I talked about how a three-person office acquired new advisory clients.
They were able to take action because they created time using AI.

AI is not just a "tool to make current work easier."
It is a means to create "time to build the future of the office."

"It has nothing to do with us because we are small" means you are throwing away opportunities.

Even after reading this far, some of you might still be thinking, "But for us..."

Even so, I will say it clearly.

"AI has nothing to do with us because we are small" is just you throwing away your own opportunities.

Large offices can fight with the power of scale.
Because they have many people, they can absorb some inefficiencies.

Small offices do not have that luxury.
That is precisely why there is no other way but to bridge the gap with technology.

Conversely, if a small office can master AI, it will be able to compete on the same playing field as large offices.

Actually, considering the speed and flexibility of decision-making, there is even a possibility that you can evolve faster than larger firms.

It's not that "it's impossible because we're small."
It's that "because you are small, you can change everything at once if you do it." This is not just empty encouragement or morale-boosting.

This is not just morale-boosting or encouragement.
It is a fact that I have actually seen in the field.

Summary

"We are a small firm, so AI has nothing to do with us"

The moment you say these words, you are closing off the opportunity for your firm to change.

In small firms, the burden on each individual is high.
That is precisely why it makes sense to use AI to streamline operations.

Small firms have fast decision-making.
That is precisely why you can start immediately.

Small firms are flexible to change.
That is precisely why you can change all at once.

And now, as the era where you can survive on advisory fees alone is coming to an end, whether or not you can create the time to build your next pillar will determine the survival of your firm.

Instead of "it doesn't matter because we're small,"
"because we're small, we should do it now."

Small firms that act first will win before large firms start moving.
We have already entered such an era.

Thank you for reading to the end.

"I want to consult on whether a small firm can utilize AI"
"I want to know specifically where to start"
"First, I want to see how much AI can be used in our operations! (We show this for free)"

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

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

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