Messy Data Is Still a Start
Don't wait until everything is cleaned. We find the most valuable, easiest-to-land 20% of data first.
AI Integration ServicesMake AI Real —
Make AI Real —
Starting from Your Data
We start from the business data you already have, and help AI find where it can truly deliver value.
Your Starting Point
First: Where Is Your AI Starting Point?
For SMEs, AI should not start with buying tools blindly. Look at where the data is, who needs it, and which pain point is worth solving first.
Already Have Digital Systems
Data Already Lives in kintone, ERP, or CRM
Best for: companies with cloud systems whose data still cannot drive decisions directly
We connect to your existing systems so AI can query progress, customer records, inventory, or project status — without rebuilding your entire database.
- ✓Inventory the most valuable data first
- ✓Connect live system data
- ✓Ship a first AI assistant in 2–4 weeks
Still on Excel / LINE / Paper
Data Still Scattered Across Sheets and Heads
Best for: teams that chase work manually, have inconsistent formats, and lack a stable digital foundation
We plan digitization and AI architecture together — placing key data where it can be queried, accumulated, and used by AI.
- ✓Build AI-readable data structures
- ✓Start with the smallest viable process
- ✓Co-pilot until the team actually uses it
Not sure which one you are?
A free 30-minute diagnosis helps us assess your data readiness and the smallest viable scope.
Reality Check
You Don't Need Everything Perfect to Start AI
We understand SME realities. Here are three commitments we make to you:
Integrate Without Replacing Systems
Reuse existing tools when possible. The point is letting AI read the right data and answer real business questions.
Delivery Is Not the End
AI only creates value in daily workflows. We co-pilot adjustments to rules, prompts, and usage habits.
Free DiagnosisIn 30 Minutes, Answer One Question:
In 30 Minutes, Answer One Question:
Is AI Feasible for You?
No black boxes, no packaged solutions first. After diagnosis, you'll know your data status, fastest starting point, and a realistic rollout scope.
After the Diagnosis, You Get
1AI feasibility assessment of your current data
2Recommendations for the fastest landing point
3Estimated timeline and value range
How We Do It
Four Steps to Put AI into Real Workflows
Technology is the means. The point is letting AI read the right data, give concrete judgments, and actually get used by the team.
01Diagnose
Find the Data Most Worth AI Reading
Clarify which processes rely most on human judgment, and which data can create value fastest once structured.
02Foundation
Structure Data into an AI-Ready Knowledge Base
Structure documents, history, customer data, and workflows so AI answers have a solid basis.
03Connect
Connect Live Business Systems
Let AI query the latest progress, inventory, case status, or customer records — not just outdated snapshots.
04Co-pilot
Tune Until the Team Actually Uses It
Calibrate answers to your company's judgment logic and place AI inside existing workflows.
Our Proof
Proven Inside Our Own Team
Double Wise's internal kintone environment was our first AI integration lab. The data-quality, field-design, and prompt-tuning issues we hit became methods that help clients avoid detours.
- Integrate task cards, meeting notes, customer data, and internal knowledge bases
- Let AI decide from real data which customer deserves priority follow-up
- Cite sources in answers so recommendations are verifiable and traceable
Live Preview of Our Internal System
Double Wise AI Assistant
Among the clients we contacted last week, who should we prioritize?
DW
Double Wise AI Assistant
Recommend prioritizing Double Wise.
Their needs are concrete, the implementation timeline is clear, and their budget best matches the current proposal.
Based on: Meeting Notes Customer Data Service Knowledge Base
Ask a question about your business data...
Use Cases
The Business Questions AI Should Answer First
Every industry starts differently, but strong AI landing questions are specific: who is at risk, where costs overrun, and who to follow up next.
Manufacturing
Shipment Risk Without Waiting for the Weekly Report
Q
Which production line might affect next week's shipments?
A
AI combines production schedules, inventory, and orders to flag risky lines and affected customers.
Engineering / Design
See Profit Risk Before the Project Ends
Q
Compared with the quote, is Project A at risk of overrunning?
A
AI pulls procurement, crew, and quote data to estimate current margin and flag abnormal expenses.
Services / Consulting
Customer Memory No Longer Lives Only in Sales Heads
Q
What concerns did Client B raise last time? What should we watch in this proposal?
A
AI consolidates past meetings and preferences into key concerns and suggested angles.
Next Step
Quick Self-Check: Ready to Talk About AI Landing?
Check the items that match your situation. Even one match is worth a data and process diagnosis.
Check the items that apply to you
Check items and we'll tell you what to do next
Book an Online Diagnosis
Book a Free AI Landing Diagnosis
Tell us your data status and business pain points. We'll help identify the smallest viable starting point — tailored, not a generic template.
Book a Free Diagnosis →No prep needed · 30 minutes online · Completely free
Prefer to start over email?
Briefly share your industry and data situation — we'll reply within one business day.
Email Us →