Inquiry and FAQ handling
Support first responses and routing for frequent questions from web, LINE, and email.
AI Automation SupportStart small with practical AI automation
Make AI useful by starting with repetitive work your team already handles.
Inquiries, phone calls, LINE messages, bookings, admin work, and information lookup do not need to be replaced by a large system at once. We review the workflow first, separate human judgment from AI-assisted tasks, and introduce automation in phases.
First areas to map
1Customer inquiries
2Phone and LINE intake
3Bookings and reminders
4Internal knowledge
COMMON CONCERNS
Where AI adoption usually gets stuck
Before adding tools, we clarify where time is being lost, who needs to approve responses, and how existing LINE, phone, booking, and CRM workflows should connect.
Calls and emails interrupt the core work
FAQ responses vary by staff member
The team wants AI but does not know where to start
Security, privacy, and medical data handling are unclear
Staff may not keep using the system after launch
The ROI and improvement scope are hard to see
AI does not need to make every decision for people.
We treat AI as a support layer for defined tasks. It can help intake, classify, draft, search, summarize, and notify, while decisions and responsibility remain with the right human operator.
Plain-language explanation
Keep existing workflows stable
Phase the rollout as MVP / Phase1 / Phase2
WHAT CAN BE AUTOMATED
Workflows AI automation can support
The scope depends on the industry and team structure. We usually begin with repeatable tasks where impact is easy to review, then expand integrations if needed.
Phone, IVR, and AI reception
Combine after-hours guidance, intent classification, callback intake, and call summaries.
Bookings and reminders
Organize booking requests, pre-visit checks, reminders, and follow-up notifications.
Internal search and summaries
Make manuals, FAQs, and past responses easier to search and summarize.
CRM and data cleanup
Structure inquiry details, status, source, and next actions so teams can follow up.
SNS, ads, and article drafts
Draft posts, ad copy, FAQs, and page improvements for human review.
SUPPORT MENU
How we support implementation
We do not simply hand over a tool. We design the workflow, rollout scope, operating rules, and improvement cycle with your team.
01
Workflow review
Review current inquiries, calls, LINE, email, bookings, and spreadsheets, then separate automation candidates from human decisions.
02
MVP design and pilot
Start with FAQ, inquiry routing, notifications, or a lightweight dashboard where results are easy to verify.
03
External service integration
Connect LINE, Twilio, Supabase, booking forms, CRM, n8n, or existing websites where appropriate.
04
Operations and improvement
After launch, review answer quality, missed responses, staff burden, and inquiry trends before expanding.
FOR CLINICS
For clinics, intake work and responsibility boundaries come first.
Clinic AI automation can support bookings, questionnaires, calls, LINE, multilingual guidance, CRM, and marketing paths. Diagnosis, treatment, prescriptions, and medical decisions remain with the physician and medical institution.
Reception and pre-booking checks
Organize service menus, opening hours, required items, fee guidance, and pre-visit checks.
Multilingual inquiries
Support pre-consultation checks in Japanese, English, and Traditional Chinese.
Medical advertising and SEO paths
Structure information while avoiding guarantees or excessive patient-acquisition claims.
Privacy and medical data management
Review tools, permissions, retention scope, and notification destinations to limit disclosure.
WHY SHINGIHOU
Implementation is not the endpoint
Workflow-first design
We start from current operations, roles, tools, and customer or patient paths, not from the AI tool itself.
Usable for non-technical teams
We reduce jargon and make it clear what each operator needs to check.
Healthcare and cross-border experience
Our work covers clinic support, LINE, phone, booking, international patients, and store operations.
FLOW
From consultation to rollout
01
Review current work
Check inquiries, calls, bookings, LINE, and internal tasks.
02
Define the scope
Separate MVP, Phase1, and Phase2, then narrow the first automation target.
03
Build and test small
Pilot FAQs, notifications, forms, or AI reception in a usable shape.
04
Operate and improve
Review answer quality, missed items, and staff burden before adding integrations.
GOVERNANCE
We define what AI can handle and what humans must confirm.
For medical, payment, and personal data workflows, AI output is not treated as final by default. We define reviewers, retention scope, and external-service responsibility before rollout.
We do not design AI to perform diagnosis, treatment, prescriptions, or legal decisions.
Personal and medical data should be minimized and permission-controlled.
Unverified features are clearly marked as MVP / Phase1 / Phase2.
External service costs, operators, and incident handling are clarified upfront.
FAQ
Frequently asked questions
Can we ask even if we are not familiar with AI?
Yes. We start by organizing current work and explain the scope in plain language.
Can a small company or clinic start?
Yes. We do not require a large rollout first; FAQ handling and inquiry routing are common starting points.
Can we keep our existing LINE or booking system?
We review current tools and separate what can connect, what needs adjustment, and what should stay unchanged.
Is there support after implementation?
Yes. We review responses, notifications, operator workflows, and usage patterns for improvement.
CONTACT
Start by mapping your current inquiries, reception work, and internal tasks.
Even if you have not decided to adopt AI, we can help identify where to begin.