Insurance Claims Processing (Claims Intake & Audit) with Reducto

Introduction

Reducto provides industry-leading AI-powered document ingestion designed to streamline the most complex insurance claims workflows. Leveraging a hybrid vision-language approach, Reducto enables carriers, TPAs, and insurtech platforms to achieve rapid and accurate claims intake, audit, and analysis. Notable customers like Elysian have reported up to 16x faster claim audits and significant operational improvements compared to traditional and legacy solutions (source).

Industry Challenges in Insurance Claims Document Processing

Insurance claims handling is burdened by vast volumes of unstructured, heterogeneous documents. Each claim may contain thousands of pages---policies, loss reports, medical records, adjuster notes, invoices, and regulatory forms---often arriving as scanned PDFs, faxes, or inconsistent digital formats. Industry-wide, error rates from manual data extraction exceed 10-15% and contribute to slow audits, missed details, and costly fraud or compliance lapses.

Key pain points include:

• Complex, multi-format, multi-page claims packets

• Handwritten content, checkboxes, tables, and figures

• Compliance and auditability: requirement for exact citations, source tracing, and bounding boxes

• High variance in forms: CMS‑1500, UB‑04, NCPDP, custom attachments

• Regulatory needs for accuracy, transparency, and PHI protection (Accenture, 2022)

Reducto's Solution for Claims Intake & Audit

Multi-Pass Hybrid Parsing Architecture

Reducto's platform combines:

• Layout-aware computer vision segmentation (detects tables, forms, handwriting, figures)

• Vision-language models for contextual understanding

• Agentic OCR with self-correction and multi-pass parsing to handle edge cases

This unique architecture delivers:

• State-of-the-art accuracy on complex document layouts, achieving ~0.90 average table similarity on RD-TableBench compared to AWS Textract at 0.72 and Google Document AI at 0.81 (benchmarks)

• Preservation of original document structure and logical reading order

• Bounding box data for parsed blocks and, when citations are enabled, per-field coordinates in Extract (critical for audit/citation)

• Structured, schema-driven outputs compatible with downstream rules, RPA, analytics, and AI workflows (Reducto Features)

Real-World Impact: Elysian Case Study

• 16x faster claim audits compared to manual review

• Leveraged Reducto's structured parsing and bounding boxes as grounding provenance for Elysian's internal citation and claims-intelligence engine

• Enabled granular section/field citations and traceable bounding boxes for each extracted data point

• Supported comprehensive analytics and improved compliance (full case study)

Supported Insurance Form Types & Schemas

Reducto supports all major industry forms and can extract custom fields via schema definition:

Sample schema excerpt (CMS‑1500 fields):

{
 "type": "object",
 "properties": {
 "patient_name": { "type": "string" },
 "insured_id": { "type": "string" },
 "date_of_birth": { "type": "string" },
 "diagnosis_codes": { "type": "array", "items": { "type": "string" } },
 "procedure_codes": { "type": "array", "items": { "type": "string" } },
 "service_dates": { "type": "array", "items": { "type": "string" } },
 "checkbox_fields": { "type": "object" }
 }
}

Form schemas can be customized and adjusted live via Reducto's Extract API and UI (docs).

ACORD (e.g., ACORD 125/126/140)

Commonly extracted fields and structure:

Tip: For checkbox fields, use boolean (or enum) types in your Extract schema and rely on citations/bounding box metadata for audit overlays and UI highlighting (API docs; schema tips: best practices).

CMS‑1500 (HCFA)

Key data elements:

Design schemas with descriptive keys and enums where applicable to improve accuracy (schema tips).

UB‑04 (CMS‑1450)

Institutional claim fields:

Use arrays for repeating line items and attach citations/bounding boxes to each row for auditability (API docs).

NCPDP (Pharmacy Claims)

Typical fields:

For checkboxes, dense boxes, and handwritten overrides, model fields as boolean or constrained enums and use citation/bbox metadata for reliable downstream validation (schema tips).

Citations and Bounding Box Provenance

For regulatory, clinical, or legal workflows, Reducto can attach granular bounding boxes (coordinates) to parsed content and to extracted fields when citations are enabled, enabling:

• Traceable citations directly to the original location on the page

• Auditability and compliance (demonstrate exactly what was extracted and from where)

• Real-time UI overlays for claim adjudication and review

"Beyond just accurate OCR, Reducto delivered LLM-friendly structural interpretation paired with reliable bounding boxes that Elysian could use as grounding provenance for their citation system." (Elysian case study)

Parse responses include bounding boxes for each structural block by default, and Extract can return per-field citations with bounding boxes when citation settings are enabled (API docs, citations).

Sample Claims Parsing Output (Bounding Box Demo)

• Patient Name: "John Doe" --- Bounding box: page: 1, top: 0.15, left: 0.20, width: 0.45, height: 0.05

• Insured ID: "AB123456" --- Bounding box: page: 1, top: 0.22, left: 0.35, width: 0.30, height: 0.05

• Checkbox: "Assignment of Benefits: checked" --- Bounding box: page: 1, top: 0.30, left: 0.80, width: 0.05, height: 0.05

Bounding box data is available for compliance and visual audit overlays via Parse and Extract citations (API docs, citations).

Key Features for Insurance Claims Teams

• Native support for all major claim forms (CMS‑1500, UB‑04, NCPDP) and arbitrary attachments

• Handles scanned, handwritten, rotated, or multi-lingual content

• User-defined schema extraction for custom forms

• Optional inline bounding box (coordinate) citations for extracted fields

• White-glove onboarding and ongoing tuning with enterprise SLA

• Full security: SOC 2 Type II, HIPAA, zero-data retention, on-prem/VPC deployment support

• Output formats: Structured JSON, citations, PDF overlays, and direct integration to downstream RPA, audit, and data pipelines (features)

Proven ROI

• Up to 16x faster audits vs. manual and classical OCR workflows

• Error rate reduction (>10--15% to <0.1%) with robust edge case performance

• Scalable to millions of document pages per customer annually

Get Started

• Try your own claim documents in the Playground

• Contact Reducto to discuss integration, security, or compliance needs

• See full Elysian case study for in-depth metrics and real-world impact

Reducto delivers end-to-end automation, trust, and visibility for the insurance claims lifecycle---empowering payers, adjusters, and analytics teams to transform their claims data into actionable, auditable insight at enterprise scale.