In-house business systems with AI-driven development

Purpose-builtbusiness systems,built in-house, fast

For work that packaged software never quite fits, we build applications shaped around your team’s knowledge and decision criteria. AI-driven development compresses design, implementation, and iteration — a working system in weeks, at a fraction of the traditional cost.

Discuss an in-house build

What We Build

Systems your team actually uses

Work that off-the-shelf software never quite fits
Decision criteria and workflows unique to your operation
Quoting, daily reports, approvals, project tracking
Prototype small, improve in daily use

Process

01

Process mapping

Put workflows and decision criteria into words

02

AI-driven prototype

See working screens within days

03

Field review

Tune usability and edge cases with your team

04

Operate and improve

Leave behind a playbook your team can own

Use Cases

Work like this,
built just for you

Too specific for packaged software, too small for a traditional systems contract — that is exactly where AI-driven development earns its keep. These are examples; we build for workflows unique to your company.

Order intake

Orders without the fax pile

AI reads incoming faxes and registers orders automatically.

Customer relations

Customer management / CRM

Business cards, email, and meeting history in one view.

Sales ops

Quotes and invoicing

One flow from quote to order to invoice.

Inventory

Inventory and warehouse

Stock levels at a glance, reorder timing suggested.

Field work

Daily reports and inspections

AI organizes reports from chat apps and handwriting.

Quality

Inspection records

Paper checklists move to tablets, with anomaly alerts.

HR

Attendance and labor

Clock-ins, overtime, and leave in one place, with alerts.

Knowledge

Internal knowledge and manuals

AI-powered structured search over manuals and minutes.

Marketing / EC

E-commerce operations

From one product brief to listings and social posts.

Custom

Your own workflows

Paper forms and hanko approvals become web flows.

Finance / legal

Contracts and billing

From contract drafting to invoicing and reconciliation.

Support

Inquiry and support desk

An AI chatbot handles the first response, all tickets in one place.

Tell us about your work

AI-driven development (AIDD)

When the way you build changes, the business changes

AI-driven development treats AI not as a helper tool but as the foundation of the process — redesigning everything from planning to operations, and the way the organization works around it. One step beyond AI-assisted coding: the entire process becomes AI-native, delivering speed and quality together.

01From kickoff to the first working prototype

The traditional way

Requirements, wireframes, design comps, estimates, purchase order, coding. The first working screen appears one to two months in at best. Until then, every decision is made on PDFs and slides — which is exactly how projects drift away from what everyone actually meant.

The AI-driven way

AI supports the work from requirements onward, so a working prototype appears the same day you describe what you want and who it is for. You can click through the screens and feel the flow. It is not the finished product, but you know immediately whether the direction is right.

02When something turns out to be wrong

The traditional way

Discovering a problem mid-development can mean going back to the design phase. A change estimate arrives, with extra cost and extra weeks. The later it happens, the more it costs — and many teams end up settling for good enough as is.

The AI-driven way

Point at the working screen, say what should change, and a revised version comes back in minutes to hours. Because the try-and-fix cycle is short, you converge on the right answer through many small corrections. Instructions and versions stay on record, so you can revisit past decisions or hand the project to someone new.

03Who can participate in the project

The traditional way

Designers, engineers, and project managers each own their phase. The client mostly states requirements and waits for delivery, with little visibility in between. When a key person leaves, handover is painful.

The AI-driven way

The person who knows the business best drives development directly, through instructions to AI. Judgments — this screen is confusing, this order does not match how we work — happen on the spot, against working software. Engineers shift from routine coding to directing, reviewing, and deciding, and the distance between business and technology shrinks.

04Life after launch

The traditional way

The vendor delivers, the site goes live. From then on, even copy changes and new pages mean another request, another estimate, another wait — often with a monthly maintenance fee on top.

The AI-driven way

The instruction history, prompts, and templates from development stay with your team as an operating playbook, so similar fixes and new pages can be handled in-house. Know-how accumulates as an organizational asset instead of leaving with a vendor. For major features or security-sensitive work, bringing in specialists remains the right call.

At a glance

TraditionalAI-driven
Where AI is usedSpeeding up some tasksEvery phase, planning to operations
First prototype1–2 monthsSame day to a few days
Revision cycleWeeks, plus change feesMinutes to hours
Who participatesSpecialists onlyBusiness owners, directly
Autonomy after launchOutsource every changeSmall changes handled in-house
Initial costMillions of yen and upA fraction of the cost
Best fitLarge-scale, high-security buildsNew-service validation, internal tools, MVPs

Not everything needs AI at once. Start by changing how fast you can try things.
That is where the case for building in-house begins.

Tech Stack

The stack that connects AI, data, and operations

  • Lovable
  • Vertex AI
  • Google Cloud
  • OpenAI
  • Claude
  • AWS
  • GitHub
  • Azure AI
  • ElevenLabs
  • Cursor
  • Tailwind CSS
  • Gemini
  • Hindsight
Contact

Put your dormant knowledge to work with AI

Business documents, decision criteria, customer history, field expertise, past proposals. We turn the knowledge sitting idle in your organization into assets AI can reference, reason over, and act on.

Talk to us about AI and internal systemsHow we build internal systems