RickyPark LtdAI document processing
Extract information from invoices, orders, forms, and reports. Send uncertain fields for review before information moves into the next workflow.
Turn documents into usable business data
Staff read documents in different formats and re-enter their contents into spreadsheets or business systems, creating delays and opportunities for omissions.
Discuss your AI projectAn example workflow
- Receive an agreed document type
- Extract fields and flag items needing review
- Export approved data or pass it to the next system
Illustrative only. Scope and feasibility are confirmed for each project.
What the project can include
- Document-type and field definitions
- An extraction and review pilot
- Format validation, exception handling, and export
- Accuracy evaluation and operating guidance
What to prepare
Provide anonymised representative samples, required fields, volume, and output format. Include difficult scans and variations, not just the clearest examples.
Integration and controls
Connect intake channels, spreadsheets, or ERP systems where appropriate. Establish field mappings and review ownership before allowing automatic writes.
How we evaluate value
Measure field-level accuracy, handling time per document, review rates, omissions, and duplicate records.
Can extracted information go straight into accounting?
Validate fields and business rules first. Amounts and other consequential data retain human review. Automatic posting depends on pilot results and your internal control requirements.
How are AI projects priced?
Projects are quoted individually for data preparation, features, integration, testing, and support. Model usage, platform, and other third-party costs are identified separately.
Start with one task worth improving.
Tell us about the task, your current process, and the outcome you need. We will review the requirements and discuss scope and a quotation.