Solution

AI Solution for TotalAgility

AI Solution for TotalAgility Overview

AiGS's Solution for TotalAgility enables AI-driven capture of document data and insights that are challenging or simply not possible using traditional capture methods. Using OpenAI models defined in your Azure environment to analyze document text from TotalAgility, the solution provides answers to questions, "citations" for where the information was found, and an AI-provided explanation for each answer. Use cases are endless and include contract review, claims processing, audits, and more.

Features

Our AI-enabled document analysis solution allows gathering of relevant insights from unstructured or varied-structure documents.

Examples of some use cases and outputs for this solution:

  • Asking AI (instead of a human reviewer) if an insurance policy includes certain coverages
  • Asking AI to confirm whether a contract has a certain attributes like whether or not there's an early termination fee
  • Retrieving information from documents that have significantly different layouts where traditional capture is not possible or not practical
  • Summarizing or finding relevant data in long documents that are difficult or time-consuming for human users to process

Benefits

AI model selection on a per-question basis supports using more powerful models where needed or faster and less expensive models where feasible.

Searchable vector store implementation allows for sending only specific relevant portions of a larger document to the LLM which supports more relevant results, faster performance, and lower costs.

Technical Details

Inputs

Allows for a configurable list of questions to ask the AI service per document type, with configuration options (adjustable per question) including:

  • OpenAI LLM model to use
  • Options to return either a plain text answer or a JSON list for cases where a list or table of information is needed
  • Parameters for citation coordinate (ie. location information for where answers were found) handling
  • Vector store query settings

Utilizes embedding of document text in a searchable vector store. When searched, this provides only the most relevant context to the LLM for processing.

Provides document page and coordinates of a citation for where in the document the provided answer was found.

Provides an explanation from the AI engine of why the AI determined the given answer to be correct, allowing for additional verification of and confidence in results.

Geographic Availability
Global

Additional Information

AiGS's solution can be demonstrated and implemented for both new and existing Tungsten TotalAgility systems.

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Created By

Products

TotalAgility

Industry

All industries

compatibility

TotalAgility 8.0 and above

Business Process

General / Other

Last Updated

February 12, 2025

Consulting Required

Yes

Support Available

Yes

Pricing

Contact for Pricing