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FAQ

Frequently asked questions

Answers to common questions about services, pricing, process, AI adoption, and security. Ask us anything not covered here.

Services & pricing

What does System Solutions Inc. do?

A Tokyo-based (Hamamatsucho, Minato-ku) software company founded in March 2026 that provides AI agent development, cloud infrastructure on AWS / Azure / GCP, web and business-system development, IT consulting, and AI training. CEO Motoki Arai is a Udemy instructor with more than 6,000 students.

How do you price your services?

Typical ranges (excl. tax): new web service / MVP ¥1.5M–3M (6–8 weeks); business systems ¥3M–8M (2–4 months); AI agents, RAG, and workflow automation ¥1M–3M; cloud infrastructure on AWS etc. with IaC and CI/CD ¥1M–3M; maintenance from ¥50K/month; fractional CTO / advisory from ¥200K/month. AI-driven development lets us deliver custom code at no-code price levels. Development is fixed-price after requirements; advisory and PMO are monthly retainers. Initial consultation and quotes are free.

What can you build on a ¥3M budget?

For a new web service: an MVP focused on the one core feature worth validating — authentication, an admin screen, one integration such as payments, a cloud foundation on AWS with monitoring and backups — released in 6–8 weeks. We join from the planning stage and decide what not to build so the budget holds. After launch, maintenance starts at ¥50K/month with iterative development based on real usage. For business systems, digitizing one workflow currently run on spreadsheets or paper (entry, approval, lists, output) fits the same budget.

How does this compare with no-code tools like Bubble?

Price and speed are close to no-code; the difference is that you get real, custom code. Because AI-driven development cuts implementation effort, we ship Next.js or Laravel apps for ¥1.5M–3M in 6–8 weeks — no platform lock-in or usage-based limits, performance and extensibility as you grow, and the code is your asset. For cases where your own staff will change screens daily, or the idea may not survive validation, we will honestly recommend no-code instead.

How does this differ from a large or mid-size development firm?

The founder-engineer works with you directly from the planning stage. With no sales or PM layer in between, your budget isn't consumed by requirements and proposal phases, and decisions go straight into implementation. We have delivered business systems and AI adoption in accounting, finance, construction, education, and healthcare, and we own everything from cloud to maintenance. For projects that require dozens of on-site engineers or enterprise-scale support contracts, a large firm is the better fit.

How does this differ from hiring a freelancer directly?

We contract as a company (NDA and service agreements) and keep maintaining what we deliver. Alongside the founder there is a partner-engineer bench, so the project doesn't stall on one person's availability. We cover infrastructure on AWS, backend, frontend, and AI end to end, so you don't have to coordinate several freelancers. Pricing is close to freelance rates.

Do you work with individuals and startups?

Yes — from seed-stage startups to listed companies. We tailor the engagement (MVP, PoC, fractional CTO) to your stage.

About AI adoption

What exactly can you do for AI adoption?

Automation systems built on Claude, ChatGPT, and Gemini; RAG for internal knowledge; AI agents and chatbots; and rollout and training for AI coding tools such as Claude Code. Our CEO publishes a Claude Code course on Udemy and speaks on Agent Skills and cloud-based agent operations.

Can AI agents be run safely in the cloud?

Yes. We build agent runtimes on AWS and other clouds with credential / IAM management, isolated execution, audit logs, and cost visibility. Running agents in the cloud instead of on laptops enables team sharing, privilege separation, always-on operation, and scale — the topic of our AI BRIDGE KUMAMOTO 2026 talk.

Can we book Claude Code training or a talk?

Yes. Hands-on Claude Code training for engineers, generative-AI-at-work training for non-engineers, and leadership sessions, customized to your environment, online or on-site. Speaking requests are welcome.

Engagement process

How do you run a new-service launch?

1) Planning sessions (free): whose problem we solve and whether an existing tool already covers it. 2) MVP definition: the one core feature to validate, and what we won't build. 3) Development: working software every two weeks, shipping in 6–8 weeks. 4) Launch and measurement: cloud foundation, monitoring, analytics. 5) Iteration: further development and maintenance based on real usage. Projects go best when you involve us from the planning stage.

What is the flow from inquiry to kickoff?

(1) Contact form or email → (2) free 30–60 minute discovery call → (3) requirements and quote → (4) NDA and services agreement → (5) kickoff. We can start within 1–2 weeks of first contact.

How long do projects take?

Small web apps and AI PoCs take 1–2 months, business systems 3–6 months, and full cloud foundations 2–4 months. We commit to a schedule during requirements.

Do you work remotely and with clients outside Tokyo?

Yes, nationwide. Meetings are online by default (Google Meet / Zoom / Slack), with on-site visits available in the Tokyo area. We also speak at regional events such as in Kumamoto, and welcome overseas engagements.

Technology & security

Can you take over maintenance of an existing system?

Yes. We take over, maintain, and extend systems built by others, starting with an honest assessment of the code and infrastructure.

How do you handle confidentiality and security?

We sign an NDA before substantive work. Client data stays in secure environments such as AWS with no unnecessary export, and generative-AI usage goes through enterprise plans or APIs where inputs are not used for training.

Which technologies and clouds do you support?

Cloud: AWS, Azure, GCP (Terraform IaC, CI/CD, containers). Backend: Java, Laravel / PHP, Python, Node.js. Frontend: TypeScript, React, Next.js, Vue.js. AI: Claude / OpenAI / Gemini APIs, RAG, MCP, Claude Code.

Still have a question? Just ask.

AI agents, cloud, or software — reach out by form or email. We work remotely with clients across Japan.

Initial consultation and quotes are free

Hamamatsucho Diamond Bldg. 2F, 2-2-15 Hamamatsucho, Minato-ku, Tokyo 105-0013, Japan