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Implementing competitive strength.

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Frontline work × AI

The OS of willful strength,implemented with AI.

A team that walks alongside you end-to-end, from on-site discovery to requirements, AI implementation, and operations. We accumulate your scattered data and person-dependent know-how in-house, into strength that grows with every year of use.

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FOUNDATION MODEL

Build the competitive foundation database before you use AI

Company documents live in different places: proposals on the file server, meeting notes in chat, review comments in email. Gathered into one place and made searchable, that set is what we call the competitive foundation database.

AI refers to that database. There are two uses for it: AI work automation and AI people development.

AI Work Automation

AI does the work people were doing by hand

  • Transcribing and tallying
  • First-pass checks for errors
  • Drafts of proposals and reports

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AI People Development

Draw out veterans' criteria and share them

  • Put veterans' criteria into words
  • Review juniors' work against them
  • Answer questions by company standards

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AIAnswers by referring to the database

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DATABASE

Competitive Foundation Database

Where the criteria that separate good output from badaccumulate. The thicker it gets, the more it becomesthe source of your competitive strength.

YOUR COMPANY'S KNOW-HOW

DeliverablesCriteriaProcedures

e.g. proposals and reports / review comments / checklists

AI answers and human edits get added back

Competitive Foundation Database

What goes in is past deliverables plus the record of who pointed out what about them. Scattered across file servers and chat, none of it is searchable, so it gets gathered in one place and tagged. While it is still empty, asking AI only gets you generic answers.

AI Work Automation

Some work follows almost the same steps every time: transcribing, tallying, checks before submission, first drafts of reports. Hand that to AI, and people's time goes to working out where the problem actually is.

AI People Development

A veteran says "fix it like this" in a second, but rarely gets the chance to explain why. When AI draws that reasoning out and writes it down, the same criteria can review juniors' work and answer questions while the work is happening.

A value-creation cycle woven from custom development × products

We evolve the know-how honed on each client's frontline into general-purpose products, accelerating real-world adoption as SaaS.The new insights gained there feed back into the next round of custom development for individual clients.By keeping both wheels turning, we create a cycle in which our customers and the wider industry keep growing.

Custom

The optimal fit
for your goals

Packaged

Real-world reach
as a product

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Substructure

AISystem Development

AI system development as frontline knowledge, supporting the two-wheel cycle from below

PRODUCT

Products

Know-how refined at individual client sites, delivered as monthly SaaS or customizable ERP. Scroll horizontally to browse each product.

SWIPE→

ARCHITECTURE

Our vision for building a competitive foundation

Every IPLoT product and service takes a place in this diagram—the OS of competitive strength. Industry-specific products combine on the same shared OS.

People / frontlineSystems, sensors, etc.WorkChat, meetings, tasks, docsReview & correctInspect AI proposals & memoryStructured-UI layerKnow-how stored as structure= window for human reviewBusiness systemsProject managementBI reportsUse existing or in-house systems▶ Business systems / management tools / BIKnowledge layerCriteria, steps & casesActivity records × human abstraction= what the AI is taught▶ Rules / manuals / trainingAPI / data integrationActivity-DB layer= business DBs, core systems, etc.Chat, tasks, meeting recordingsunified into one DB= record of human activity▶ Chat / meetings / tasks / documents▶ Orders / customers / inventory dataReferenced as evidenceAgent layerUses knowledge to support workA retrieval agent supplies the AIwith what the context needsUpdated around activity & tools▶ Search / answer / monitor / create① Data flows in just by working (auto)② Review & correct③ Abstract & verbalize④ Turn into prompts

How IPLoT supports this model

The areas covered by each IPLoT product and service within the model above.

LayerProducts & services in charge
Structured-UI layer (the window)Brain Pro / Shiftly / System development
Knowledge layer (what AI is taught)iPro Manual / AI Strategist Training / Competitive Foundation Consulting
Activity-DB layer (store the data)AI Data Analysis / Yomitoru-kun / Wholesale core system
Agent layer (where AI acts)IPRO-kun / Menta-kun / System development
Designing & applying the whole structureIT consulting (overall design) / HRobo (all layers for HR & talent) / Competitive Foundation Consulting (full rollout)

GUIDEBOOK ─ VOL. I

IT Consulting
Guidebook

─ A collection of practical know-how / every phase from Ph.0 to Ph.7

As AI adoption and system development accelerate across companies, we — having supported DX across a wide range of industries — see a core problem in the 20-trillion-yen system development market: it isperson-dependent and opaque. Murky estimates. Hollow design documents. Repeated delays.

As a provider of cross-industry system development and consulting services, we are bringing transparency to the know-how we have gathered from across Japan. To raise the next generation of young project managers, together with members inside and outside the company we publish a guidebook ofknowledge focused on the upstream phases of development.

Turning the instincts only veterans know into something anyone can learn.
Turning lessons learned from failure into assets for the next success.

─ INDEX

Ph.0 → Ph.7

  • Ph.0IR operational issues
  • Ph.1Predicting operations from data
  • Ph.2Discovery interviews
  • Ph.3Issue tree
  • Ph.4TO-BE business workflow design
  • Ph.5Meeting deck creation
  • Ph.6Requirements definition for field rollout
  • Ph.7Project management
LECTURES READY18lectures

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Useful Articles

Practical know-how on AI adoption, operational improvement, DX, and system development, delivered from a frontline perspective.

IPRO-kun Special Site

IPLoT ORIGINAL CHARACTER

IPRO-kun Special Site

Meet IPRO-kun, our mascot from Planet Productia—profile, origin story, gallery, plus LINE and Instagram.

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