Finance & Accounting Teams
Automate invoice processing, expense reports, and reconciliation — extracting line items accurately and flagging anomalies for review.
Document & Data Automation
We build AI-powered pipelines that extract, classify, and process documents and data at scale — invoices, contracts, forms, and records — replacing manual entry with auditable, accurate automation.
OCR + LLM extractionAutomated classification & routingValidation & audit trails
Who we build for
Who We Build Document & Data Automation For
If your team spends hours retyping information from PDFs, emails, or spreadsheets into other systems, that's a job for AI. We build pipelines that read, understand, and route documents — so your people review exceptions, not every record.
Insurance & Claims Operations
Process claims forms, policy documents, and supporting evidence automatically — speeding up turnaround without adding headcount.
Legal & Contract-Heavy Businesses
Extract key terms, dates, and obligations from contracts — building searchable, structured records from years of paperwork.
Operations Teams Drowning in Spreadsheets
Turn messy spreadsheets, forms, and emails into clean, structured data your other systems can actually use.
Why Chayaniq for document automation
Document & Data Automation Benefits
Manual data entry is slow, error-prone, and expensive at scale. Here is how we replace it with automation your team can trust and audit.
OCR + LLM Document Extraction
Extract structured data from invoices, forms, and contracts — combining OCR accuracy with LLM understanding of context.
Automated Classification & Routing
Documents are classified and routed to the right workflow or team automatically — no manual sorting required.
Validation Rules & Exception Handling
Confidence scoring and validation rules catch low-confidence extractions — routing only genuine exceptions to a human.
Full Audit Trails
Every extraction and decision is logged — so compliance teams can trace exactly how a value was derived.
Structured Data Pipelines
Extracted data flows directly into your databases, ERPs, or spreadsheets — in the format your systems already expect.
Continuous Accuracy Improvement
Models and rules improve over time from corrected exceptions — so accuracy climbs the longer the system runs.
Industries we serve
Document & Data Automation Across Industries
Every industry has its own paperwork — claims in insurance, lab results in healthcare, purchase orders in manufacturing. We build extraction and automation tuned to the documents your team actually handles.
Remote patient monitoring
- Real-time collection of wearables data
- Enhanced doctor-patient communication
- Comprehensive view of patient health data
- Data-driven report generation
- Seamless integration with existing systems
- Improved patient outcomes
Electronic medical records (EMR)
- Interoperability of medical data across departments
- HIPAA / GDPR compliant solutions
- Improved patient care
- Quick access to patient records, vitals, and lab results
- Enhanced security and privacy of patient health data
Document management
- Compliant documentation workflow
- Streamlined management of health information
- Integrations with existing systems for a 360° data view
- Secure file sharing and access management
Insurance verification
- Automated medical insurance eligibility
- Proactive identification of coverage issues
- API-ready and HIPAA-compliant
How we work
Our Process for Document & Data Automation
Automation only earns trust when it's accurate and auditable from the first document. Our process front-loads validation so confidence builds quickly.
Discovery & Document Audit
We collect sample documents and map the fields, formats, and exceptions your team currently handles manually.
Extraction & Schema Design
We design the target schema and choose the extraction approach — OCR, LLM, or hybrid — for each document type.
Build & Pipeline Integration
Extraction, validation, and routing pipelines built and connected to your databases, ERPs, or spreadsheets.
Accuracy Testing
We test against real historical documents and measure accuracy field-by-field before going live.
Phased Rollout
We start with a subset of document types or volume, with human review on every result, then expand as accuracy proves out.
Audit & Continuous Improvement
Audit trails and accuracy dashboards — with corrected exceptions feeding back into the model over time.
How we automate documents & data
Extract, classify, and route documents at scale — replacing manual data entry with auditable structured automation your team can trust.
We combine OCR accuracy with LLM understanding of context to pull structured data out of messy real-world documents.
- Invoices, contracts, forms, and receipts handled out of the box
- Confidence scoring on every extracted field
- Schema-mapped output ready for your systems
Our stack
Our Document & Data Automation Technology Stack
OCR, extraction, and pipeline tooling — chosen for accuracy on messy real-world documents and clean integration with your systems.
OCR & Extraction
- AWS Textract
- Google Document AI
- Tesseract
- Custom LLM extraction
LLMs
- Anthropic Claude
- OpenAI GPT
- Custom fine-tuned models
Pipeline & Orchestration
- n8n
- Airflow
- Temporal
- Custom Node services
Data Targets
- PostgreSQL
- ERPs (SAP, NetSuite)
- Spreadsheets / Sheets API
Validation & QA
- Confidence scoring
- Human-in-the-loop review tools
- Audit logging
Compute & Hosting
- AWS Lambda
- S3
- Docker
Perspectives
Ideas that pair with Document & Data Automation
Short reads from how we ship—architecture, product, and ops. Same themes as this service, different angles.
March 2026
OCR + LLMs: The New Standard for Document Data Extraction
Why combining traditional OCR with LLM-based understanding beats either approach alone — and how to validate accuracy before going live.
Continue readingFebruary 2026
The Real Cost of Manual Data Entry (And What to Automate First)
Not all manual processes are equal. A framework for prioritising which document workflows to automate first for the fastest payback.
Continue reading
