
Intelligent Submission Intake
Classify incoming submission packages, extract key risk data, identify missing information and prepare underwriting-ready records.
Transform complex P&C submissions, loss runs, SOVs and claims documents into trusted, structured insurance data - and use that data to power underwriting and claims AI.

Insurance teams still spend significant time interpreting broker emails, PDFs, spreadsheets, ACORD forms, loss runs, Statements of Values and claims documents before they can make a decision.
Kumaran Insurance Document Intelligence combines cognitive document processing, insurance domain knowledge and AI to convert that complexity into trusted, structured and decision-ready intelligence.
The result: faster intake, less manual handling, better data quality and an AI-ready information foundation for underwriting and claims workflows.
Insurance documents are not just unstructured - they are context-heavy, inconsistent and decision-critical.
A single commercial submission may include broker emails, ACORD applications, loss runs, SOV spreadsheets, supplemental forms, inspection reports and supporting PDFs.
Loss runs and other documents vary significantly by carrier, line of business, layout, terminology and data presentation.
Underwriters and claims professionals spend valuable time locating, interpreting, validating and re-entering information before acting on it.
Values, locations, coverage details and loss information may conflict across applications, schedules and supporting documents.
Copilots and agents are only as reliable as the insurance data, source traceability and validation controls feeding them.

Classify incoming submission packages, extract key risk data, identify missing information and prepare underwriting-ready records.

Normalize historical claims across carrier-specific formats; extract claim-level data and support frequency, severity and large-loss analysis.

Ingest and validate Statements of Values, location schedules and exposure data; identify missing, duplicate or inconsistent information.

Create submission summaries, cross-document comparisons, source grounded Q&A and inputs for underwriting copilots and guideline checks.

Structure information from FNOLs, reports, estimates, invoices, correspondence and other claim files to accelerate adjuster review.

Route uncertain or high risk fields for human review before downstream use.

Deliver structured outputs (JSON/API/Excel) to underwriting workbenches, policy/claims platforms, CRM, data platforms and enterprise workflows.
Insurance AI transformation doesn't need to begin with a multi-year program.
Kumaran helps insurers move through a practical adoption path.
Identify document-intensive processes, bottlenecks and measurable business outcomes.
Identify document-intensive processes, bottlenecks and measurable business outcomes.
Run a focused Proof of Value using representative insurance documents and workflows.
Connect the solution with existing underwriting, policy, claims and data platforms.
Expand across products, business units and document types.
Add copilots, reasoning and agentic workflows as confidence and governance mature.
Kumaran has processed complex P&C loss runs across 400+ unique templates and across LOB's - Workers Compensation, Commercial Auto, Commercial Property, General Liability, Inland Marine/Cargo/Equipment; Professional & Specialty Liability; Crime; Umbrella/Excel Liability.
Combine OCR, NLP, machine learning, extraction, validation and GenAI to move from document digitization to insurance intelligence.
Support tables, multi-page reports, spreadsheets and structured/semi structured/unstructured content.
API-first patterns allow document intelligence to complement existing underwriting, claims and enterprise platforms.
Confidence scoring and exception handling help keep business users in control of decision-critical information.
Use trusted document data as the foundation for underwriting copilots, claims assistants and governed agentic workflows.
Start with a focused P&C workflow - Loss Runs, submission intake, SOVs or claims documents - and build toward AI-enabled underwriting and claims operations.