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Workers compensation payroll exposure intake

For Workers compensation exposure intake teams

Prepare work class, jurisdiction, wages and period from a payroll exposure report with fields you can edit. No rate or premium calculation.

25 free credits/month · No card needed

See the workflow and review checks

Inspect a document example.

Synthetic documents · Expected output
Standard documentPDF
workers compensation payroll exposure intakeFictional sample · For demonstration
employer name
Example Employer - synthetic
reporting period start
2026-09-01
reporting period end
2026-09-30
jurisdiction
CA - stated in the synthetic source
exposure rows
[ { "class_code": "DEMO-CLASS_CODE-0042", "jurisdiction": "CA - stated in the synthetic source", "description": "Example document line - original synthetic data", "payroll_amount": 1250 } ]
stated payroll total
1250
{
  "employer_name": "Example Employer - synthetic",
  "reporting_period_start": "2026-09-01",
  "reporting_period_end": "2026-09-30",
  "jurisdiction": "CA - stated in the synthetic source",
  "exposure_rows": [
    {
      "class_code": "DEMO-CLASS_CODE-0042",
      "jurisdiction": "CA - stated in the synthetic source",
      "description": "Example document line - original synthetic data",
      "payroll_amount": 1250
    }
  ],
  "stated_payroll_total": 1250
}

A complete synthetic document with the visible values shown below. Real responses also include model-reported confidence, validation and result status. Test your own file with this schema.

When this work lands on your desk

A payroll exposure report arrives for workers compensation exposure intake teams. The next step needs work class, jurisdiction, wages and period, recorded under the correct document reference before the information enters your insurance operations register.

A payroll report splits one employee across work classifications. Preserve each class and the reported wages without choosing a rating class. This schema keeps the source labels and values explicit so the reviewer can resolve the issue before downstream use.

Start with the documents you already collect

  • Payroll exposure report PDFs
  • Scanned or photographed payroll exposure report pages

PDF, JPEG, PNG, TIFF, or WEBP. Send one file per extraction call; create separate schemas when the document types need different fields.

  1. Define the fields

    Open the starter schema. Edit field descriptions, mark the values your process requires, and save it in your account.

  2. Extract at intake

    Send the document and saved schema slug to POST /api/v1/extract, or collect the file through a branded upload site.

  3. Hand off reviewed data

    After checking employer name, reporting period start, reporting period end, your application maps the reviewed record into your insurance operations register. Keep the original document reference with the result. No rate or premium calculation. Dokyumi processes one file with a saved schema; your application owns record matching, business rules and updates to other systems.

A schema shaped around the next step.

Start with these fields, then adjust them to match your documents and destination system. The example above shows the data object you are asking Dokyumi to extract.

Download editable starter schema

Choose required fields for your process. The starter schema preserves any defined nested fields; refine line-item structures and test them on representative files.

FieldTypeWhat to capture
employer_namestringEmployer name exactly as printed in this payroll exposure report. Preserve identifiers and qualifiers; do not look up or infer missing information.
reporting_period_startdateReporting period start explicitly printed in this payroll exposure report. Keep it distinct from other dates; leave it empty if no calendar date is stated.
reporting_period_enddateReporting period end explicitly printed in this payroll exposure report. Keep it distinct from other dates; leave it empty if no calendar date is stated.
jurisdictionstringJurisdiction exactly as printed in this payroll exposure report. Preserve identifiers and qualifiers; do not look up or infer missing information.
exposure_rowsarrayEvery visible exposure rows row in this payroll exposure report. Preserve separate rows, labels and qualifiers; do not merge entries or reconstruct missing ones.
stated_payroll_totalcurrencyStated payroll total explicitly labeled in this payroll exposure report. Preserve its sign and stated currency; do not calculate a missing amount.

Give exceptions a clear path to review.

Dokyumi returns a model-reported confidence map, validation details, and a completed or review status for produced results. Check required fields and your business rules before passing data onward.

A completed extraction describes the extraction result. Your application and reviewers own matching, approvals, routing, and updates to other systems.

Read the response contract

Run a synthetic response through a review gate

Checks for this process

  • A payroll report splits one employee across work classifications. Preserve each class and the reported wages without choosing a rating class.
  • Check reporting period start, reporting period end against their own printed labels; leave an unstated date empty instead of deriving it.
  • Check stated payroll total for signs, decimal placement and stated currency before any downstream calculation or posting.
  • Compare every exposure rows row with the source, including continuation pages, separate categories and repeated table headings.

Prove the fit on a representative batch.

Test payroll exposure report examples from the layouts your team actually receives. Include the exception described here: A payroll report splits one employee across work classifications. Preserve each class and the reported wages without choosing a rating class. Compare the extracted employer name, reporting period start, reporting period end and any line rows with a reviewer's checked reference before enabling downstream actions.

Compare extracted values with a reviewer’s reference set. Record corrections, unresolved fields, review time, and credits used before connecting downstream actions.

The free plan’s credit limits apply. Assisted pilots are scoped with Dokyumi before work begins.

Expand when the next process is ready

Add recurring extraction capacity when payroll exposure report intake becomes routine. Reuse this field contract for layouts that express the same information; create a separate schema when the next document has different fields or review requirements.

For a tailored implementation

Discuss document volume, page lengths and schema setup for workers compensation exposure intake teams. Bring difficult payroll exposure report samples and the review requirements your implementation must preserve.

Talk through document mix and volume

Start small. Add capacity as intake grows.

All self-service plans include the REST API, upload-site webhooks, custom confidence thresholds, and schema inference. Choose by volume, schema count, and upload sites.

Free

$0/month

  • 25 credits/month
  • 2 schemas
  • 1 branded upload site
Test this workflow

Starter

$99/month

  • 500 credits/month
  • 10 schemas
  • 5 branded upload sites
Explore Starter

Growth

$499/month

  • 3,000 credits/month
  • 50 schemas
  • 25 branded upload sites
Explore Growth

Each document uses one credit per 5 pages, rounded up. An 8-page file uses 2 credits. Self-service files can be up to 50 pages; larger files, custom-built schemas, and additional volume are quoted through Enterprise. Full pricing details

Questions about workers compensation payroll exposure intake

Which fields can I capture from a payroll exposure report?

The starter schema contains employer name, reporting period start, reporting period end, jurisdiction, exposure rows, stated payroll total. Edit those definitions and choose your required fields before saving. Array fields include defined sub-fields so row values have a validation structure.

What needs review in workers compensation payroll exposure intake?

A payroll report splits one employee across work classifications. Preserve each class and the reported wages without choosing a rating class. Check the original source alongside model-reported confidence and validation output; completion status describes the extraction result, not the business decision.

How does this data reach your insurance operations register?

Save the schema, then send one supported PDF or image to POST /api/v1/extract with its slug. The response contains the data, model-reported confidence, validation and result status. Your application maps reviewed values to the destination; upload-site submissions can use a configured webhook. No rate or premium calculation.

How do I test this workflow on my own documents?

Start free with 25 credits per month, 2 schemas, and 1 branded upload site. The starter schema opens in the schema builder after sign-up. Edit the fields, save it, and upload a representative file through your account or the extraction API. Account documents are stored according to Dokyumi’s privacy policy; contact hello@dokyumi.com for deletion requests and retention requirements.