WATARI

Which steps AI runs, and where people check: decided at design time.

The table below is the standard split. Steps and roles are agreed with you and adjusted to your work.

Who does what, step by step

Who does what (our standard design, adjusted and agreed per engagement)
StepAIYour staffLicensed or authorized
Document collection (receive and sort)Does itChecks what AI can’t classify—
Data entryReads and proposesConfirms against the original—
Deficiency and deadline checkFlags them, with proposed fixesDecides on exceptions—
Requests and remindersDraftsApproves and sends—
Document pack and history for handoffAssemblesFinal check—
Residence-status or hiring decisionsNever—You, or a licensed professional
Applications and filingsNever—The person authorized to file

How one case moves.

An illustration of a workflow WATARI designs, based on Specified Skilled Worker onboarding and using synthetic data. Choose a stage to see what AI does, what your staff do, and what gets recorded.

Stage 1 / 6

Illustration · synthetic data

Receive and sort documents

What AI does
Takes in email attachments and photos, identifies each document type and links it to the case. Password-protected PDFs and wrong file types are caught here.
What your staff do
Checks only the items whose classification is uncertain.
What is recorded
Time received, sender, file hash

Documents received

  • Passport copy.jpgFrom the worker · converted to PDF
  • CV.pdfFrom the sending organization
  • Employment terms.pdfFrom the employer
  • Skills test certificate.pdfFrom the worker
  • Employment certificate.pdfPassword-protected, cannot be opened

Document types and content are examples (synthetic data). Required documents vary by procedure and case.

Open the synthetic-data demo (hiring to arrival, Japanese interface)

What we settle around the work

Exceptions
Uncertain readings, cases the rules do not cover, deadlines at risk and unexpected documents are never pushed through automatically; they go to a person. Who receives them, when and through which channel is decided at design time.
Monitoring
Progress per case, stalled work, upcoming deadlines and how often AI proposals were corrected, visible in one list.
Reviewing outcomes
Against the workload measured before we started, we regularly review minutes per case, rework and issues caught before submission, and adjust the rules and the split of work.
Information handling
Before any live case, we agree confidentiality and personal-data terms. First trials use samples without personal data or past cases you have de-identified. Where live data is stored, who can access it, how long it is kept and how it is deleted are agreed per engagement. If an AI model is to read documents, we get your approval for that use first.

Start by measuring today’s workload with us.

Tell us the work, the volume and the organizations involved. We will work out together where to start.

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