AI Business System Development
"Actually used in the field" — we will not compromise on it. And we go beyond efficiency: apps that feed competitive strength.
For your operational challenges, we select the optimal solution from a wide range of means — including LLMs, AI agents, machine learning, optimization algorithms, and no-code. From full custom development to no-code / low-code with Microsoft 365 and big-data platforms. What we aim for is not a mere efficiency app, but one where data and know-how accumulate with use — feeding your competitive strength.
ARCHITECTURE
Our vision for building a competitive foundation
Every IPLoT product and service takes a place in this shared OS of competitive strength. AI Business System Development covers the highlighted part (Structured-UI layer + Activity-DB layer + Agent layer).
How IPLoT supports this model
The areas covered by each IPLoT product and service within the model above.
| Layer | Products & services in charge |
|---|---|
| Structured-UI layer (the window) | Brain Pro / Shiftly / System development |
| Knowledge layer (what AI is taught) | iPro Manual / AI Strategist Training / Knowledge Loop Consulting |
| Activity-DB layer (store the data) | AI Data Analysis / Yomitoru-kun / Kakikomu-kun / Wholesale core system |
| Agent layer (where AI acts) | IPRO-kun / Menta-kun / System development |
| Designing & applying the whole structure | IT consulting (overall design) / HRobo (all layers for HR & talent) / Knowledge Loop Consulting (full rollout) |
AI Business System Development covers: Structured-UI layer + Activity-DB layer + Agent layer
APPROACH
Not fixating on AI — we choose "actually used in the field"
Our job is not to introduce AI, but to genuinely make the field's work easier. To do that, on every project we evaluate means from many angles — not just LLMs, but also machine learning, optimization algorithms, and no-code.
─ Click each card for details
Purpose — Can it reduce the field's burden?
Our goal is not to introduce flashy technology, but for the people on the ground to feel that things got easier.
Means — The fastest, cheapest, surest path
If rule-based is enough, we don't use AI. If we use AI, we pick the optimal model. We always weigh the balance of cost and effect.
Operation — A form that's still used a year later
We don't build systems that only work right after launch. We choose designs the field can grow and keep improving.
─ OUR PRINCIPLE
We don't sell AI — we sell results in the field.
Even for the same challenge, the optimal solution differs by client. That's why, on every project, we line up 8 types of tools and evaluate them, proposing "the combination that fits this field best."
We take responsibility for
results, not technology.
DIFFERENCE
How We Differ from Others
From planning to operations and maintenance, we set ourselves apart across all 5 phases.
Planning
Drawing on IT Consulting expertise, we design the system by working backward from your business objectives and KPIs. We walk alongside you starting from "why build it."
Implements the stated requirements as-is. Whether it contributes to business goals is not their concern.
Design & Development
With appropriate phasing, we roll out the highest-value features first. We optimize the balance of budget and effect.
Develops all features at once, tending to overrun the original estimate.
Rollout
We take responsibility through to adoption in the field. Our in-house training know-how is published as the IT Consulting Guidebook.
Done at system handover. If the field can't use it, that's out of scope.
AI Adoption
We optimize AI to fit the field's work and get it into operation. We convert person-dependent judgment into AI models.
Deploys AI as a package, with no tuning to fit the field.
Operations & Maintenance
We continuously monitor usage and measure adoption in the field. We proactively propose new features and improvements as the situation calls for.
Centered on incident response. Doesn't touch usage or room for improvement.
─ EVIDENCE
Our in-house know-how is published as a guidebook.
From the upstream-process framework of Ph.0–Ph.7 to the implementation steps for AI adoption and taking root in the field. It is the proof behind our track record.
─ PRODUCT / POST-LAUNCH MAINTENANCE
We turned “operations & maintenance” into a product.
We don't ship and walk away. After launch, our AI “Menta-kun” watches your system from its operation logs and reports how the field uses it, how well it's taking hold, regressions from data growth, and room for improvement — on a regular cadence. It delivers the “operations & maintenance” phase from the table above as a continuous AI maintenance service.
─ DESIGN FOR LONGEVITY
A year from now,
still designed to keep being used.
STEP
How We Run a Project
STEP 1
Planning & Operational Inventory
- We analyze your current business processes and system landscape in detail, surfacing issues—and the source of your strength: which judgments in which operations create value.
- We clearly define the project's overall goals, required resources, and risk factors.
STEP 2
Organizing the Business Workflow
- We diagram the current business processes and identify room for efficiency gains and points that can be automated.
- We establish a shared understanding among stakeholders and align the project's direction.
STEP 3
Technology Selection
- Based on the requirements surfaced by organizing the business workflow, we select the optimal technology, tools, and platform.
- We decide the technical approach for each area — full custom development, no-code tools, cloud databases, and more.
STEP 4
Requirements Definition
- We clearly define the specific features and operational requirements the system must meet.
- We incorporate feedback from each stakeholder to produce a specification that is feasible and ready for future expansion.
STEP 5
System Design
- We carry out high-level and detailed design based on the operational requirements and the selected technology.
- We build an architecture with flexibility and scalability in mind, with attention to security and performance.
STEP 6
Development
- We carry out the actual system development based on the design and requirements definition.
- We adopt the latest automation tools and CI/CD pipelines to achieve a fast, high-quality development process.
STEP 7
Testing
- We perform thorough quality verification at every stage — unit, integration, system, and user acceptance testing.
- We also run security and performance tests, finding and fixing issues early.
STEP 8
Analysis
- We continuously collect and analyze operational data and user feedback after the system goes live.
- We extract quantitative and qualitative insights for improving business processes and adding new features.
STEP 9
Planning (Considering Improvement Measures)
- Drawing on the analysis results and market trends, we formulate plans for the next round of system development and feature improvements.
- Working with stakeholders, we drive continuous operational improvement and system updates.
Build with the field,
grow it in the field.
IPLoT METHOD
From finding the problem to running it—one continuous flow.
While other firms take on just “development” or just “maintenance,” IPLoT delivers all three as one: (1) problem discovery & consulting, (2) development powered by generative AI, and (3) post-launch operations. The map below shows where each of our services sits across these three pillars.
Three parts, one offering: Discover → Build → Operate
Problem discovery & consulting
Before “what to build,” we ask “what is the real problem.” A standardized method distilled from our 36 in-house courses structures the issues on the ground.
Development
We make the most of generative AI to go from requirements to implementation fast and at lower cost.
Custom development
Designed and built to your requirements
SaaS adoption
Launch fast and low-cost on standard features
Core-system implementation
For core operations: orders, inventory, billing
Operations & maintenance
We don’t just ship and leave. We keep watching the live system through its operation logs and keep improving it.
Every phase does not have to be ours. We agree the split of responsibilities—and how records are shared—with you and your existing vendors, and keep the information connected.
How we differ from a typical dev firm
| Aspect | A typical dev firm | IPLoT |
|---|---|---|
| Entry point | Builds what it’s told (spec-first) | Starts from problem discovery & consulting |
| Consulting | Relies on the individual’s experience | Repeatable via a standard method (36 courses) + Brain Pro |
| Development | Cost piles up with man-hours | Compresses build cost with generative AI |
| Operations | Passive—fixes things once they break | Menta-kun watches and proposes improvements proactively |
| Delivery | Split by phase, with gaps at the seams | One team, from discovery through operations |
“A typical dev firm” describes what commonly happens when phases are split between parties; it does not refer to any specific company.
FAQ
Frequently Asked Questions
We cover a wide range: core operational systems (ordering, inventory, sales management), generative-AI-powered operational support systems, and web applications for internal DX. We default to a modern cloud-first architecture, and consider on-premise or hybrid setups depending on requirements.
It depends on scale, but a rough guide is 1–2 months (from a few million yen) for a small PoC, and 6–12 months (from tens of millions of yen) for core-system scale. We can also deliver a standalone "requirements definition package" that carves out just the early phase of organizing requirements.
Yes. From integrating with existing ERP, core-system RDBs, and in-house APIs to phased replacement of legacy COBOL/VB systems, we propose a realistic migration plan as part of the work.
We provide hands-on support over the long term with defined SLAs, covering post-release operations and maintenance, additional development, and incident response. We can also set up a hybrid arrangement that operates jointly with your in-house team.
Yes. We offer a menu of support for building a "team that can run on its own" — engineer development, hands-on code review, architecture review, development-process setup, and more.
FREE TOOLS
Start with our free tools to see where you stand
No sign-up, completely free. Try our AI Adoption Diagnosis and a rough estimate for your business-system development costs right now. A handy starting point before you reach out.
