Streamline Workstreams: From Digitization to Determination with AI
Unstructured data—in documents, audio, and video files—is often the biggest bottleneck in enterprise workflows. Our AI Document Processing solution transforms this content into searchable, actionable data.
We accelerate processing, improve accuracy, and eliminate the burden of manual data entry in high-volume environments like Government and Healthcare.
The AI Document Processing Workflow
We provide an end-to-end solution that transforms unstructured data into actionable intelligence for automated determinations.
Intelligent Intake and Digitization
We use advanced AI models to automatically classify, digitize, extract, translate, and transcribe text, audio, and video files at high speed and scale.
AI Capabilities
- Intelligent Classification: Automatically categorize documents of any complexity (forms, contracts, medical records).
- OCR/Transcription: Digitizing and transcribing text, audio, and video files accurately.
Data Extraction and Summarization
AI models precisely identify and extract key data fields, entities (names, dates, dollar amounts), and relationships, eliminating the need for exhaustive manual review and data entry.
Data Refinement
- Entity Extraction: Identify key fields, entities, and complex relationships accurately.
- Concise Summaries: Generate accurate, concise summaries of large documents instantly.
Actionable Insights & Workflow Integration
The structured data is instantly indexed, allowing for powerful functions like search, querying, and regulatory compliance checks. This drives automated determinations.
Actionable Outcomes
- Complex Querying: Instant search and complex querying of indexed data.
- Automated Determinations: Claims adjudication, eligibility status, or appeals rulings integrated into workflows.
Human-in-the-Loop Oversight (HITL)
For critical decisions, we implement HITL review workflows. This ensures accuracy and accountability, accelerating processes while maintaining control.
HITL Benefits
- Targeted Review: Staff focus only on edge cases identified by the AI.
- Quality Control: Ensures accuracy and accountability for high-stakes decisions (e.g., Claims, Patient Care).
FAQs: Automating Document Workflows
Our solutions leverage state-of-the-art Computer Vision and Natural Language Processing (NLP) models. While accuracy depends on document quality, we consistently achieve high fidelity (often 90-99% accuracy) in structured forms and employ advanced techniques to handle complex layouts, tables, and even certain types of handwriting.
No. Our models are trained on vast datasets and are highly adaptable. While template-based documents benefit from initial configuration, our intelligent classification and entity extraction models can quickly adapt to new, similar document types with minimal or no retraining, ensuring rapid deployment and scalability.
Data privacy and security are embedded from intake to output. All processing occurs within secure, compliant cloud environments, adhering to standards like HIPAA and FedRAMP. Documents are often de-identified or masked before processing, and access controls are strictly managed to protect sensitive data.
Implementation typically starts with a targeted pilot phase focusing on one document workflow, which can take 6-12 weeks. Your team primarily needs to provide access to example documents, define the required extraction fields, and validate the initial AI outputs during the HITL phase.
The ROI is significant, driven primarily by reduced labor costs (by eliminating manual data entry), accelerated cycle times (processing documents instantly vs. days), and reduced errors (leading to lower compliance penalties or appeal costs). We provide tools to precisely calculate this saving based on your current volume and cost structure.
