Products / Document AI / Intelligent Document Processing
Agentic AI on AWS EKS

Document operations,
built for production AI.

Redpumpkin Intelligent Document Processing automates document extraction, validation, and reconciliation across enterprise workflows, running on private GPU infrastructure orchestrated through AWS Elastic Kubernetes Service.

Designed for regulated, document-intensive environments, the solution turns complex PDFs into structured JSON or SQL-ready outputs, checks extracted data against internal records, and keeps humans involved where validation or escalation is required.

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Why this matters

High-volume documents,
high-stakes data accuracy.

Enterprises process operational, transactional, and compliance-related documents every day. Formats vary, templates change, and traditional OCR often stops before the real work starts: validating whether extracted data matches the business record.

Manual

Validation bottlenecks

Teams spend time checking documents against internal records instead of processing exceptions.

Data

Inconsistency risk

Fields extracted from documents can drift from databases, creating downstream rework and audit exposure.

Audit

Compliance pressure

Regulated workflows need traceability, escalation paths, and defensible validation records.

Scale

OCR limits

Classic OCR can recognize text, but often cannot reason across layouts, templates, and system records.

Solution overview

From complex PDFs
to trusted enterprise data.

Redpumpkin IDP supports end-to-end document processing: ingesting high-volume documents, extracting data from multi-template PDFs, converting outputs into structured formats, and reconciling those outputs against existing internal databases.

01 / Processing

End-to-end document processing

  • High-volume document ingestion
  • Multi-template PDF handling
  • Structured output for enterprise systems
02 / Extraction

Multi-modal extraction

  • OCR for text recognition
  • Layout analysis for document structure
  • Semantic understanding for contextual accuracy
03 / Reconciliation

Agent-based reconciliation

  • Continuous comparison with internal records
  • Rule-based processing actions
  • Escalation when mismatches need review
Agentic AI functionality

Beyond static
document automation.

Agentic AI gives the workflow an operating model: agents compare, detect, escalate, and synchronize information across systems while preserving human oversight for exceptions and critical decisions.

Agent 01

Cross-system validation

Agents compare extracted fields from invoices, claims, and transaction documents against internal databases and expected business rules.

Agent 02

Inconsistency detection

Data mismatches are flagged automatically and routed to human reviewers for validation before they affect downstream processes.

Agent 03

Corrective lookup and sync

Once data is validated or updated, agents synchronize corrected information across connected systems.

Architecture and deployment

Private GPU on AWS EKS.
Scalable, isolated, compliant.

CUSTOMER AWS ENVIRONMENT - JAKARTA-ALIGNED DEPLOYMENT 01 / INGEST Documents PDFs, claims, invoices 02 / EKS + GPU Private AI runtime OCR, layout analysis, semantic extraction 03 / AGENTS Reconcile and act Validate fields, flag mismatches, escalate Structured output JSON, SQL-ready records Internal systems Databases and workflows
Performance

GPU processing for OCR and layout analysis

Private GPU instances accelerate document understanding workloads while keeping processing capacity isolated.

Scalability

Kubernetes orchestration through AWS EKS

Containerized services can scale by workload, isolate processing jobs, and manage resources flexibly within AWS.

Governance

Compliance-ready operating boundary

The deployment aligns with Indonesian data residency considerations using Jakarta-based infrastructure and controlled cloud resources.

Key benefits

Reliable document intelligence,
ready for enterprise operations.

Area
Before
After
Digitalization
Unstructured PDFs
Structured actionable data
Governance
Manual checks
AI-driven reconciliation
Operations
Slow validation cycles
Exception-focused review
Deployment
Pilot-only AI
Production-grade EKS runtime

  • Automated document digitalization

    Transforms unstructured PDF documents into structured, actionable data for business systems.

  • Improved data integrity

    Maintains consistency through continuous reconciliation against trusted internal records.

  • Faster processing cycles

    Reduces manual validation effort so teams can focus on true exceptions and decisions.

  • Secure production deployment

    Built for scalable, compliant AI workloads running in controlled AWS infrastructure.

Target use environment

Designed for document-heavy,
regulated workflows.

Financial services

Transaction documents, claims, invoices, compliance evidence, and operational records that need validation against internal systems.

Healthcare

High-volume forms and supporting documents where accuracy, traceability, and controlled escalation are critical.

Retail

Vendor documents, operational paperwork, and reconciliation-heavy workflows across stores, warehouses, and back-office systems.

Enterprise operations

Medium to large organizations managing transactional, operational, and compliance-driven document workloads.

IDP.
Let's talk

Build reliable
document intelligence
on AWS.

Discover how Redpumpkin Intelligent Document Processing can modernize document workflows while meeting enterprise performance, scalability, and compliance requirements.

Schedule a Consultation
Discovery session

Map the document workflow first

We review document types, validation rules, internal data sources, infrastructure constraints, and the path from pilot to production deployment.