Register conditions once
Enter your nurse list, skills, day-off rules and patient list in the console or a template. Initial registration happens only once.
SHISHI Agent Series for home-visit nursing
Support complex scheduling with AI.
AI creates a draft schedule from leave requests, skills, travel time, and visit conditions, then supports regeneration and personal schedule distribution.
- Accounts for leave, skills, and visit conditions
- Regenerates drafts when plans change
- Nurse-supervised (HIL)
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Kurashi Tech supports more than 7,000 home-visit nursing claims every month. Company-wide total as of June 2026
SHISHI / SHIFT
Labor
Support complex scheduling with AI.
Register leave requests, skills, travel time, and visit conditions, and AI creates a draft schedule. Managers review and adjust it before personal schedules are distributed.
- Account for leave, skills, travel time, and visit conditions
- Regenerate from saved conditions when plans change
- Distribute personal schedules after manager review
Enter conditions once. AI builds a draft schedule.
Enter staff leave, skills, travel time, and visit conditions, and AI creates a draft for the manager to review.
AI creates a draft
The draft reflects leave requests, skills, travel time, and visit requirements.
Review and distribute
After manager review and adjustment, personal schedules can be distributed to staff. Drafts can be regenerated when plans change.
Nurse-supervised (HIL). Managers make the final decision; the workflow does not leave it all to AI.
We will outline an approach for your current scheduling workflow.
We organize the service scope and pricing around your current operation.
What Shift SHISHI can do
From one-time condition registration to auto-assignment, sudden-change handling and personal schedule delivery — fitted to how your station works.
Account for leave, skills, and visit conditions
AI creates a draft using registered leave, staff skills, travel time, and visit conditions.
Regenerate when plans change
When absences or schedule changes occur, a new draft can be generated while retaining registered conditions.
Personal schedules auto-delivered
Personal schedules are generated from the finalized shift and delivered to each staff member automatically.
Answer new referrals instantly
Free-slot search lets you answer whether you can accept a new referral on the spot.
Update only changed information
Register baseline conditions first, then update leave requests and changes for the next cycle.
Designed around each operation
Scope and pricing are organized for each station’s scale and workflow.
Works together with schedule-registration support to cover visit scheduling end to end.
Pricing and availability
Pricing is quoted individually based on station scale and workflow. No unconfirmed prices or reduction figures are shown.Why stations choose us
One flow supports condition management, sudden changes, and distribution.
Consider multiple conditions together
Bring leave requests, skills, travel time, and visit requirements into one draft.
Respond to sudden changes
Regenerate a draft from registered conditions when absences or plans change.
Nurse-supervised (HIL)
Designed with nurses who understand the field, with final confirmation by the manager.
Scope designed individually
Scope and pricing are organized before start based on scale and workflow.
Information management
Because this work handles staff and patient information, we operate with never-hands-off AI and a managed security posture.
Nurse-supervised (HIL)
Designed under nurse supervision (HIL) for real workflows, with final confirmation by the manager.
Operated in our managed environment
Staff and patient information is handled in our managed environment, using only enterprise AI contracts that do not train on or retain data.
Defined information controls
Access controls and operating rules are defined for handling staff and patient information.
FAQ
When will pricing and the service be available?
Pricing and service scope are quoted individually based on station scale and workflow.
The initial setup sounds heavy.
Register staff, skills, leave rules, and visit conditions first; after that, update leave requests and changed information.
Won't entering preferences and skills be a hassle?
AI creates a draft reflecting leave, skills, and visit conditions, while the manager makes the final decision. The onboarding review process will be explained individually.
Materials & free consultation