AI-NativeSystemDevelopment

Executives, business leads, and engineering managers who want to rebuild business systems around AI from the ground up

Next-generation system development with AI inference at the core, including interfaces for external AI agents to operate the system

Bolting AI onto a business system versus building with AI at the center — the difference is made at the design stage. Bolting AI on tends to end with a bot pasted onto a UI. Designing with AI at the core means redrawing the data structure, decision logic, API boundaries, and human intervention points as one coherent whole. At Yakumo we build our own business systems this way — including CLIs and APIs that let AI agents operate the system directly. We bring that same thinking to new system builds and overhauls for our clients.

PoC From JPY 5M · MVP JPY 10M–30M · Lump sum / Time-and-materials

Is This For You?

  • Design a business system with AI at the core
  • Existing systems don't work well with AI
  • Launch a new AI-first business
  • Enable external AI agents to operate our systems
  • Redesign order or case management with AI

If this sounds like your situation, please reach out for a free consultation. Contact us

What We Solve

What we solve

Bolt LLM onto an existing business system and you typically increase the need for human intervention. The data structures, API boundaries, and UI flows were not designed with AI in mind. Putting AI at the center requires building the system from the ground up with AI as a first-class concern.

In this service, we place business processes and agents on the same design surface. The data layer is structured for AI readability; the UI is designed for human-AI collaboration from the start. The parts where agents own execution and the parts where humans make judgments are fixed as properties of the system architecture.

Not “wrapping AI around it” — but “building the system with AI at the core.” The option to take when launching a new business or overhauling an existing system.

After State

A business system with AI inference at its core is in production, and both humans and agents can operate the system through the same API.

Phases & Deliverables

[ 01 ]

Business and architecture requirements

Define the full requirements for a new system combining business processes and AI, and agree on the architecture direction.

Deliverable Requirements document + architecture diagram Duration 3–5 weeks
[ 02 ]

System design

Design data, APIs, agents, and UI with AI as a first-class concern.

Deliverable Full design documentation Duration 4–8 weeks
[ 03 ]

Phased development

Build from MVP and expand functionality in sprints.

Deliverable Working system Duration 8–24 weeks
[ 04 ]

Delivery and migration

Accompany the migration from existing operations and train operators.

Deliverable Production launch + migration complete Duration 3–6 weeks
[ 05 ]

Ongoing support

Three months of post-launch support — revisions based on operational logs.

Deliverable Stable operations Duration 3–6 months

Timeline & Pricing

A PoC engagement starts at From JPY 5M, with an MVP (production-ready quality) starting at JPY 10M–30M. Actual cost varies significantly by number of agents and scope of existing system integrations. Contract types: Lump sum or Time-and-materials.

Indicative estimates only. Actual cost varies significantly with business scope and data migration complexity. Contact us for an accurate quote.

Request a quote