AIDX / AI Concierge
Turn AI into operational systems teams can actually use.
AIDX / AI Concierge embeds AI into customer support, sales enablement, internal knowledge, and workflows so it keeps working inside the field.
We do not simply introduce AI tools. We design the business process, internal data, response rules, and improvement cycle around each company.
AI was tested, but never used continuously.
ChatGPT was introduced, but business results did not change.
The company wants AI for internal knowledge or customer support, but does not know how to design it.
AIDX organizes these issues and turns AI into systems that function inside real operations.
Problem
AI adoption often fails to stick in the field.
Many companies are testing AI tools. But in practice, usage often stays at the individual level and never becomes part of the actual workflow.
The issue is usually not AI itself. The missing piece is business process design.
Adoption gap
01
Individual use
02
No workflow design
03
No visible results
Which tasks should AI handle?
Where should humans make the decision?
What information and rules should AI use?
How should improvement data be accumulated?
Without this design, AI adoption rarely continues inside daily operations.
Solution
We decompose workflows and design the path where AI can produce results.
AIDX starts by organizing the current workflow and inquiry patterns, then clarifies where AI should be introduced.
From there, we define what AI handles, what humans review, what data improves answer quality, and what rules are needed for operation.
By separating the roles of AI and people, we improve both safety and practical usefulness.
Workflow
AI scope
Human
Decision scope
Data
Source information
Operation
Improvement rules
Services
Support from AI adoption to focused production and small-scale development.
AIDX combines adoption design, tool selection, workflow improvement, and small-scale development according to each company’s current AI maturity and business needs.
AI Implementation Support
We clarify the purpose, target operations, and operating structure, then design an adoption plan that teams can start using.
AI Tool Selection
We compare ChatGPT, generative AI tools, workflow AI, and production tools based on purpose, budget, and fit.
Internal Workflow Improvement
We design how AI can support inquiry handling, document creation, information organization, internal checks, and reporting.
Small AI-Enabled Development
We support focused builds such as landing pages, image production, simple chatbot journeys, and small workflow automations.
Workflow
Implementation workflow
01
Clarify current operations and AI goals
We review current work, pain points, tools, and the scope where AI could help, then separate AI-ready tasks from tasks that should remain human-led.
02
Select AI services and design adoption
We organize the tools and implementation approach based on goals, budget, and internal structure, including where small development may be needed.
03
Implement workflow improvement and focused builds
We make practical areas concrete first, such as document work, information organization, inquiry support, landing pages, image production, and simple automation.
04
Stabilize usage inside the team
We review actual usage and refine instructions, workflows, and internal rules so AI does not end as a one-time trial.
Workflow
01
Clarify
02
Select
03
Implement
04
Stabilize
Pricing
AI Concierge
From JPY 200,000 / month
AIDX / AI Concierge is scoped individually based on operations, data volume, integration range, and improvement cadence.
Initial build costs are estimated separately depending on the required scope and system integrations.
Cost structure
Typical cost items
Additional costs
We first review the current operational issue, then propose only the scope that is actually needed.
FAQ
FAQ
Is a ChatGPT subscription enough?
Usually no. Business use requires internal data structure, response rules, permission design, usage scope, and continuous improvement. AIDX supports the design and implementation required to integrate AI into business workflows.
Can internal information be handled safely?
We review information types, access scope, storage policy, API usage, and permissions to reduce leakage risk. AI adoption needs clear rules about what should not be used, who reviews outputs, and how far automation should go.
Can we start small?
Yes. We recommend starting with areas where impact is visible, such as inquiry handling, internal FAQ, or sales support, then expanding based on actual usage data.
What types of companies is this suited for?
It is suited for companies spending time on inquiry handling, sales materials, internal knowledge sharing, manuals, or customer support, especially when information exists but is hard to find or answer quality varies by person.
How long does implementation take?
It depends on scope, but a focused prototype can be used to confirm the practical image quickly. For full implementation, we carefully review data, integrations, and operating rules at the initial stage.
CTA
Turn AI into a system the field actually uses.
We clarify where AI should enter operations, customer support, sales, and internal knowledge, then turn it into an implementable structure.
Whether you are considering AI adoption or already testing AI without clear results, start by discussing the current operational issue.