Instabase for Client Onboarding

Instabase automates document understanding for loss run tables, streamlining end-to-end workflows.

Processing Loss Runs

Loss Runs are complex tables containing the claims history on a business line basis. These documents can come in any file format (e.g. PDF or Excel) and are highly variable in structure due to the large number of carriers involved. As a result, these documents usually require manual processing, a tedious and time-consuming job.

Why Instabase?

The Instabase Automation Platform for Unstructured Data automatically extracts relevant data out of loss run tables, automating an end-to-end workflow that improves underwriter capacity, cycle time, and customer service.

Unlock unstructured data that others can’t

Understand your most complex documents with the latest in AI from Instabase and the broader market

Achieve unrivaled automation & accuracy

Minimize errors and boost automation with an extensive suite of validations and business logic

Build solutions 10x faster

Launch end-to-end solutions in days with low code building blocks for every step in your workflow

How it works

Instabase combines the most powerful technologies for every step of the process, so you can automatically understand any document in the submissions process.

Digitize
Classify
Extract
Refine
Validate
Review
Integrate

Digitize

Connect to any file system or email inbox and transform documents and images into a consistent, machine-readable format.

  • Pre-process and enhance image quality
  • Transcribe handwritten and printed text
  • Support up to 160+ languages
  • Recognize logos, signature, checkboxes, and other elements

Classify

Categorize documents by type and route to appropriate channels and teams. Large packets with multiple documents are automatically separated into logical records.

  • Packet splitting
  • Classification

Extract

Automatically extract the information you need from any type of document without the hassle of rules or templates. Understand the full spectrum of documents with state-of-the-art deep learning.

Document Types:

  • Structured (fixed layout) 
  • Semi-structured (variable layout) 
  • Unstructured (free form)

Visual Features:

  • Tables
  • Signatures
  • Checkboxes

Refine

Enhance model results, perform calculations, and prepare data for downstream decision-making with tools for data manipulation and transformation.

  • Clean erroneous and duplicative information
  • Enrich with internal or external data sources
  • Transform data into appropriate format and schemas

Validate

Verify data with comprehensive checks to identify errors and automate results with high accuracy. Provide real time feedback to customers when issues arise from user error and incorrect documentation.

  • Validate with custom logic, business rules, and confidence thresholds
  • Match results against internal databases
  • Deliver real-time notifications of document status

Review

Loop in a human to approve or correct any values that require attention or if you ever want an extra pair of eyes.

  • Easily compare extracted data with source documents
  • Re-validate corrections against business rules
  • Assign checkpoints at any stage of the workflow

Integrate

Export results to any downstream application in the required schema.

  • CRM
  • ERP
  • CMS
  • Client Portal
  • Data Warehouse
  • Core Systems