The Wave of Subsidies is Here. A Tailwind for AI Implementation in SMEs
In 2024, services supporting “digitalization and AI implementation subsidies” for small and medium-sized enterprises are being announced one after another. Companies like Tokuji Computer Service are notably offering one-stop support from AI implementation to operational adoption. Speaking from my own experience supporting IT implementation for over 38 clients, this is undoubtedly a tailwind.
However, looking back at past subsidy booms, we’ve seen a flood of “unused systems” and “tools that couldn’t sustain operations.” Even if you acquire tools with subsidies, they’re just a cost if the team can’t use them effectively.
This article explains three conditions for successful AI implementation based on the latest subsidy trends and our track record of 93 cases with a 2989% ROI.
Condition 1: Decide “What to Automate” Before Implementation
When using subsidies, it’s easy to fall into the mindset of “let’s just implement AI.” However, this is the biggest failure pattern.
From my experience, AI implementation yields results only when it’s “problem-first.” For example, it starts with questions like these:
・Can we automate the 20 hours per month spent on invoice data entry?
・Are we too busy handling customer inquiries to focus on core sales activities?
・Are internal manuals too dependent on specific individuals, causing work to stop when they’re away?
Subsidy applications have a section for “implementation purpose.” Instead of vague statements like “implement AI to improve efficiency,” write something specific like “automate 20 hours of monthly invoice entry to free up time for sales.” This makes it possible to measure results after implementation.
Key Points for Selecting Specific Tools
Once the problem is clear, it’s time to choose tools. Many tools are eligible for subsidies, but here are some I’ve personally used and confirmed effective:
・Invoice processing: A pipeline that feeds PDFs into Claude or ChatGPT and converts them to CSV (a few thousand yen per month)
・Inquiry handling: Integrating an AI agent with Slack to automatically answer 90% of FAQs (about 20,000 yen per month)
・Manual generation: Automatically creating manuals from conversation logs and storing them in a shared drive (about 10,000 yen per month)
All of these can be started for around 10,000 to 20,000 yen per month. With subsidies, the actual cost is even lower.
Condition 2: Design the System for Operational Adoption from the Start
Even if you implement tools with subsidies, they’re meaningless if the team doesn’t use them. Tokuji Computer Service emphasizes “support until operational adoption” precisely because they understand this point.
Among my clients, there have been many cases where tools were used right after implementation but abandoned after three months. The causes are always the same: “no operational rules,” “the person in charge left,” or “no manual.”
Therefore, I recommend deciding on the following three points at the time of implementation:
・Who will operate it? (It doesn’t have to be a dedicated person. Just assign someone to check once a week.)
・What to do when it fails? (An escalation route for when AI gives incorrect answers.)
・What metrics will measure effectiveness? (Time reduction rate, error rate, employee satisfaction, etc.)
In my own company, we’ve built a pipeline that automatically formats data generated by AI agents, stores it in a shared drive, and manages version control. This prevents dependency on specific individuals and allows anyone to operate with consistent quality.
Often Overlooked in Subsidy Applications: “Human Resource Development Costs”
When looking at eligible expenses for subsidies, tool purchase costs and implementation consulting fees are often covered, but internal training and education costs may be excluded or have low caps.
However, if the team can’t use the tools, they’re a waste. Check the subsidy requirements and, if possible, include “employee training to master AI” in your budget. From my experience, at least a half-day hands-on training session and a one-month follow-up period are necessary.
Condition 3: Start Small and Visualize Results
Just because subsidies are available doesn’t mean you need to implement company-wide all at once. In fact, starting with one department or one task increases the chances of success.
What I recommend is a “small project that can be completed in one week.” For example:
・One person in the accounting department tests having AI handle invoice data entry for a week.
・The sales department tests having AI handle 90% of FAQ responses for a week.
・The general affairs department tests having AI create manuals for a week.
In this small test, verify the following three points:
・Is the AI’s accuracy practical?
・Has the team’s workload decreased?
・Is the implementation cost likely to be recovered?
In my own company, we’ve judged several tools as “unusable” at this testing stage. Don’t be afraid of failure; small-scale testing leads to long-term success.
Specific Methods for Measuring Effectiveness
To visualize results, comparing before and after implementation is essential. Set metrics like these:
・Processing time: How many minutes did it take per item before, and how many after?
・Error rate: The error rate before implementation versus after.
・Employee satisfaction: How did it change on a 1-5 scale before and after?
Some of my clients have used this effectiveness measurement to create subsidy performance reports and apply for additional subsidies. If you can show results with numbers, it’s easier to get management’s buy-in.
Summary: Subsidies are a “Means,” Not an “End”
Subsidies for digitalization and AI implementation for SMEs are indeed a powerful tailwind. However, obtaining the subsidy itself should not become the goal.
In my experience supporting over 38 clients, the companies that succeed with AI implementation all adhere to these three conditions: “clarify the problem, start small, and ensure operational adoption.”
Don’t let the pressure of subsidy deadlines cut into the time you spend thinking about “what you want to solve” before choosing a tool. That one hour can make a difference for months and years to come.
Based on our track record of 93 cases and a 2989% ROI, I can say that AI implementation doesn’t guarantee results just by doing it. If you follow the right steps, you can get returns that exceed the subsidy. Conversely, if you get the steps wrong, you’ll just waste the subsidy amount.
Start by writing down your company’s problems on paper. That first step is the shortcut to successful AI implementation.
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