Operations teams
Staff repeatedly copy, clean, or reformat information from incoming documents.
Document Workflow Automation
Still copying data from PDFs, spreadsheets, or email attachments?
I turn one repetitive document workflow into a validated, repeatable process—starting with a small paid pilot.
For operations teams that need more than basic extraction: validation rules, exception handling, reconciliation, and a workflow their team can actually run.
For teams where documents still create recurring manual work.
Insurance and financial operations
Reports, statements, claims, or supporting documents arrive in inconsistent formats.
Professional-services teams
Client documents must be standardized, checked, and moved into spreadsheets or internal systems.
Data and reporting teams
Analysts lose time preparing document-derived data before analysis can begin.
If several of these sound familiar, the workflow is a candidate.
- The same fields are copied every week or month.
- Document layouts change between vendors, clients, or reporting periods.
- Staff manually compare totals or check missing values.
- Output must follow a specific Excel, CSV, database, or internal-system format.
- Exceptions are handled from memory rather than documented rules.
- The team cannot easily explain why a value failed validation.
What the sprint includes
Workflow discovery
Map the current process, inputs, outputs, business rules, and failure points.
Document and layout review
Identify recurring formats, layout differences, required fields, and edge cases.
Extraction prototype
Build a working process for the agreed document formats and fields.
Validation and reconciliation
Add rules for missing values, invalid formats, duplicates, totals, and cross-field inconsistencies.
Exception workflow
Separate clean results from records that require human review and explain why they failed.
Documentation and handoff
Deliver workflow documentation, validation rules, operating instructions, and recommended next steps.
Deliverables:
- Current workflow map
- Agreed input and output specification
- Working extraction prototype
- Validation and exception rules
- Sample structured output
- Implementation notes
- Documented handoff
Most one-workflow pilots are designed for delivery within 7–10 business days after the sample documents, output requirements, and validation rules are confirmed.
A document workflow, turned into a process
Shown with anonymized details. No client names, project volumes, or results beyond those verified below.
Insurance PDF & Data Automation
Anonymized U.S. insurance operations project
A U.S. insurance organization received six recurring monthly report PDFs in multiple layouts. Staff needed the data in a consistent downstream Excel workflow.
Work completed
- Python-based PDF extraction
- Layout-specific parsing rules
- Regex and field normalization
- Validation and error handling
- Structured Excel/VBA-compatible output
- Documented workflow
Verified results Processed the full recurring batch in under five minutes, and achieved approximately 99% extraction accuracy during testing.
Python
PDF Extraction
Regex
Data Validation
Excel / VBA
Workflow Automation
Built by Jiyoung Roh, a data automation consultant working across Python, SQL, Excel/VBA, document parsing, validation, and operational reporting workflows.
Anonymized example workflow
What the delivered process actually looks like
A generalized view of the stages above, shown without client data. The same shape applied to the insurance operations workflow described here.
Multiple document layouts
Recurring files arrive in formats that differ by source or reporting period.
Extraction and normalization
Layout-specific rules pull the required fields and standardize them into one shape.
Validation and reconciliation
Rules check missing values, formats, duplicates, totals, and cross-field consistency.
Exception review
Records that fail are separated for human review with the reason attached.
Excel, database, or system-ready output
Clean records leave in the agreed downstream format, with the process documented.
The middle stages are the deliverable. Extraction on its own produces data nobody can vouch for. Validation, reconciliation, exception handling, and documented handoff are what make the output safe to use — and what separate this from generic OCR or a one-off PDF-to-Excel conversion.
Start with one workflow
Starting ranges, not fixed packages. Select an option to carry it into the enquiry form below.
Final scope depends on document variation, validation requirements, volume, integrations, and security constraints.
Most one-workflow pilots are designed for delivery within 7–10 business days after the sample documents, output requirements, and validation rules are confirmed.
Where this works — and where it does not.
Good fit
- A recurring document workflow
- Identifiable inputs and outputs
- Meaningful manual checking or reformatting
- Business rules that can be documented
- Willingness to start with one bounded process
Not the right fit
- One-time conversion of a single simple PDF
- Expectation of perfect extraction from every unknown format
- Requests requiring unsupported legal or compliance guarantees
- Unclear ownership of the downstream process
- No representative sample documents available after initial qualification
Operational problem first, implementation second
Document automation fails when it is treated as a pure extraction task. The harder part is the workflow around it: which fields matter, which values are suspect, what happens to a record that does not pass, and who owns the output.
I scope engagements around one workflow at a time so the result is something your team can run, explain, and maintain after the handoff.
- I understand both the operational problem and the technical implementation.
- I use Python, SQL, regex, Excel/VBA, and workflow automation where appropriate.
- I design validation and exception handling rather than assuming every extraction is correct.
- The engagement stays bounded and begins with one workflow.
- Documentation and handoff are part of the delivery.
Describe one manual workflow
Tell me what arrives, what your team does with it, what the final output should look like, and where errors or delays usually happen. I'll tell you whether it is a reasonable pilot and what I would check first.
✓
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If anything is unclear, I'll follow up by email before suggesting a scope.
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