AI Transformation
AI has been deployed.
The front line does not use it.
The reason it stalls is not tool performance;
it is that the work has no place for it.
We decide where it will be used, then implement.
Contents
- 01Why it stallsCandidates keep growing, but no one decides where to start
- 02What we deliverSomething that works, and the rules to keep it working
- 03What changesFour things that change
- 04Fees and processFrom assessment to implementation and adoption
- 05Four phasesFrom current-state analysis to adoption and improvement
- 06FAQOn data and governance
- 07ContactStart by mapping where you stand
Four-part series
- 01Process Improvement & Standardization (BPR)Structure
- 02AI Adoption & Implementation (AX / DX)Apply
- 03Business Execution (BPO)Operate
- 04New Business & Venture Development (Incubation)Create
Candidates have piled up.
The order is undecided.
Impact and feasibility are never set side by side,
so only the deliberation accumulates.
Something that works,
and the rules to keep it working.
Who uses it, how much is delegated to it,
and what is measured, decided before handover.
Key deliverablesNot a record of deliberation, but a form you can operate.
- AI Adoption RoadmapSets the order and timing
- Use Case SpecificationRequirements and metrics
- PrototypeReady to try on the front line
- Operations GuidePermissions, rules, monitoring
After adoption,
what actually changes.
What changes is not the number of tools,
but the hours it is used on the front line.
-
DX teams
Where to start becomes clear
Because candidates are reordered by impact and feasibility, the basis for the investment decision can be explained.
-
Business units
Validation leads to production
Because the design assumes workflows and an operating structure from the PoC stage, it carries straight through to production.
-
IT
The safe scope of use becomes clear
Permissions, data handling, logging and usage rules are decided at the outset, so there is no need to halt the work later.
-
Management
Results can be checked in numbers
Because usage rates, quality and effort are built in as measures, whether to continue or expand is decided on facts.
From assessment to
implementation and adoption.
For those deciding where to start
AI Opportunity Assessment
400,000yen–
Review of operations, data and structure
Candidates ranked by impact and feasibility, with the order of work and a roadmap.
Talk to usFor those moving from validation to production
Use Case Implementation
Custom quote
Depends on the scope of operations
From prototype validation to implementation, including workflows and structure.
Talk to usFor those keeping it in use
Operations and Adoption Support
Monthly, by consultation
Ongoing
We measure usage rates and quality, and run usage rules and improvement cycles.
Talk to us* Prices are a guide and exclude tax. Each engagement is designed to the scope of the target operations. Consultation and estimates are free of charge.
From current state
to adoption and improvement.
At each stage, we make clear what happens next.
- Current state
We review operations, data and systems, and set out the prerequisites for using AI.
- Priority areas
We select the themes to start with, based on impact and feasibility.
- Build and validate
We validate the prototype on the front line and make the improvements operation requires.
- Adopt and improve
We measure usage rates and results, and move to operation that sustains continuous improvement.
Timelines vary with the scope of the target operations. We present one together with the estimate at the first consultation.
Frequently asked questions.
What kinds of work can AI be used for?
A wide range, including document creation, information search, customer response, analysis and use of internal knowledge. We review your operations and propose starting with the areas of highest impact and feasibility.
Can we proceed even if we do not have enough data?
Yes. We map out the data you have and the data you lack, and design an approach that can be validated at small scale first.
How do you handle security and governance?
We design for access rights, handling of confidential information, logging and usage rules.
How much does AI implementation support cost?
The AI Opportunity Assessment starts from 400,000 yen (excluding tax) as a guide. Use Case Implementation is quoted individually according to the scope of the target operations, and Operations and Adoption Support is a monthly fee by consultation. Consultation and estimates are free of charge.
How long does implementation take?
The AI Opportunity Assessment takes a few weeks as a guide. Implementation varies with the scope of the target operations, so we present a timeline together with the estimate at the first consultation.
Can we consult you if our PoC has stalled?
Yes. We isolate the cause of the stall in terms of workflow, data, permissions and KPIs, and begin by putting in place the conditions required for production operation.
What is AX (AI transformation)?
AX means redesigning the work itself on the premise of generative AI and AI agents, and embedding it until results continue. It does not end with deploying a tool. Workflows, permissions, usage rules and evaluation metrics are designed as a whole, which is what distinguishes it from a one-off AI deployment.
Have you decided
where to start?
Start with the AI Opportunity Assessment: candidates ranked,
with the order of work and a roadmap.
Consultation and estimates are free of charge.