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Enterprise Layer Intelligence
Categories/Agentic Process Automation/Scribble Data
Scribble Data

Scribble Data

Founded by Indrayudh Ghoshal & Venkata Pingali in 2016

Automate underwriting and claims for group benefits insurers

Pricing model

Demo

You can use Scribble Data to deploy modular AI agents that handle complex group benefits workflows for insurers. The system extracts and compares data from benefits booklets, policy documents, and claims files in real time. It automates policy administration, detects inconsistencies, flags compliance risks, and assists underwriters during evaluation. By connecting directly with existing policy administration systems and CRM tools, it cuts document processing time and prevents manual review errors across large insurance portfolios without requiring extensive engineering setup.

What Scribble Data does

Extract policy data from complex PDFsValidate claims against benefit rulesFlag errors in underwriting submissionsCompare employee benefits bookletsAudit policy administration records for complianceSync document insights to existing CRM toolsExtract and compare information from benefits booklets and policy formsDeploy specialized AI agents for underwriting and claims tasksRun automatic compliance checks against regulatory and policy guidelinesFlag data inconsistencies across incoming insurance submissionsConnect directly with existing policy admin and CRM databasesProcess thousands of insurance policy records simultaneouslyDeploy low-code workflows across AWS, Azure, or Google Cloud

Pricing breakdown

Pricing model: Book a demo

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Scribble Data, Hasper, group benefits, insurance automation, underwriting automation, claims processing, policy administration, AI agents, document extraction, benefits booklets, risk assessment, compliance checks, pension risk transfer, insurance workflows, insurance tech