Document Processing

Replace manual document review with automated analysis and quick insights.

Turn invoices, contracts, reports, and forms into clean, validated, structured records, ready for posting, compliance review, or downstream analysis without the manual handling.
SKILLS

AI Skills, Built to Combine

Purpose-built for high-volume document environments, each skill is a reusable building block, ready to deploy individually or combined into an end-to-end document processing layer across functions, departments and organizational workflows.

Model Builder Agent
Document Processor

Extracts, classifies, and transforms document data from reports, contracts, and financial records into structured, actionable records that align with your decision logic. Delivers document insights through intuitive interactive dashboards, flagging exceptions for human review before errors reach downstream systems. Move from manual keying and inconsistent review to automated extraction with full audit visibility.

OUTCOMES

What Changes When Document Processing Runs on AI

Accelerate Financial Reconciliation

Automated extraction and validation compresses invoice processing timelines, enabling earlier posting and consistent capture of early payment discounts

Fewer downstream errors

Structured validation rules catch extraction issues before they reach ERP, financial platforms, or contract management systems

Consistent exception routing

AI-generated exception reports provide standardized categorization and routing, replacing the variability of manual review queues

Audit-ready records

Every extraction, validation, and exception decision is documented, supporting regulatory and internal audit requirements across finance, HR, and legal functions

Throughput without more headcount

AI extraction handles document volumes that would require significant manual staffing, at a fraction of the per-document processing cost

Hear from Our Customers

RapidCanvas has helped us realize our vision of integrating AI into our demand prediction and inventory management processes. The transition from spreadsheet-based models to RapidCanvas's sophisticated AI model has been a game-changer. We've seen a 35% improvement in operational efficiency and a 50% reduction in time spent on manual adjustments.
rapidcanvas
Arthur Strommer,
Vice President, MTE-THOMSON

Leveraging AI for Demand Forecasting and Inventory Optimization

Discover how MTE-THOMSON uses data-driven insights and AI solutions to revolutionize the way they maintain and manage their inventory.
35%
Increase in
operational efficiency
$500K
Saved through
optimal stocking
PROCESS

From Unstructured Documents to Actionable Records in Three Steps

01

Leverage Skills from the RapidCanvas Skills Library: Start with the Document Processor skill, built to handle the format variability and validation requirements of real enterprise document environments. Deploy against your highest-volume use case first, invoice processing, contract extraction, or compliance documentation, and expand from there.

02

Integrate & Refine Into a Cohesive Solution: RapidCanvas connects to your existingdocument sources and downstream systems like ERP, AP platforms, contract management, andcompliance tools. Validation rules are configured to your vendor master, PO structure, andbusiness logic, so extracted data meets your posting and review standards from day one.

03

Deploy | Maintain | Evolve: Go live and keep improving. As document formats change,new vendors are added, or validation requirements evolve, the extraction layer adapts,maintaining accuracy and throughput without requiring manual reconfiguration.

Common Questions

Have more questions? Contact our support team to get what you need.

Our invoices come in dozens of different formats from different vendors. Can the system handle that?
RapidCanvas Faq

Yes, format variability is the norm in AP environments, and the Document Processor is built for it. The skill classifies and extracts across PDF invoices, scanned documents, and varied layouts without requiring a separate template for each vendor format.

How does exception handling work?
RapidCanvas Faq

When extracted data falls outside your defined validation parameters, like a line item that doesn't match a PO, a vendor not found in master data, or an amount outside expected range, the document is flagged and routed for human review rather than passed downstream. This keeps errors out of your ERP and gives reviewers a clear, categorized exception queue to work from.

Can this integrate with our existing AP or ERP system?
RapidCanvas Faq

Integration with downstream systems is a core part of deployment. RapidCanvas connects extracted, validated records to your AP platform, ERP, or contract management system, so the output of document processing flows directly into the workflows your team already operates.

What about contracts and internal documents, not just invoices?
RapidCanvas Faq

The skill handles a range of document types. Contract data extraction pulls structured fields from agreements, amendments, and addenda for renewal tracking and obligation monitoring. Internal reports and board materials can be classified and indexed to support knowledge retrieval, extending automation beyond transactional documents into the broader document environment.

See how RapidCanvas works for you

See how RapidCanvas works for you

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