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CONCEPTB2B SaaS · Document Review

Project Atlas

AI Document Review & Risk Analysis

Review complex documents. Find what matters.

Atlas / Document review Prototype UI · illustrative data

Findings

Needs review · Payment term conflicts with procurement policyConfirmed · Insurance evidence is missingDismissed · Contract renewal term differs from supplier record

The problem

Business teams often review large collections of contracts, policies, spreadsheets and supporting documents manually. Important information is spread across different files, inconsistencies are easy to miss and findings can be difficult to trace back to the original source.

The product

Atlas provides a structured workspace for reviewing complex business documentation. It extracts relevant information, compares facts and terms across sources, flags potential risks or inconsistencies and keeps every finding linked to its supporting evidence.

Potential applications

  • Contract review
  • Compliance review
  • Supplier / vendor review
  • Insurance & claims documentation
  • Policy review
  • Research-intensive business workflows

How Atlas works

DOCUMENTS & DATAINGEST EXTRACT COMPARE IDENTIFY RISKS / INCONSISTENCIES REVIEW EVIDENCEEXPORT FINDINGS

Capabilities

Document ingestion

Import PDFs, Office documents, spreadsheets and supporting files.

Structured extraction

Extract dates, parties, terms, obligations, values, clauses and other relevant fields.

Cross-document comparison

Compare information across multiple documents and structured files.

Risk & inconsistency detection

Flag conflicting information, unusual terms, missing evidence and items requiring review.

Evidence & citations

Link each finding directly to the source material that supports it.

Review & structured output

Allow a human reviewer to confirm findings and export summaries, tables or reports.

Example workflow

A procurement team uploads supplier contracts, pricing spreadsheets and internal policies. Atlas extracts key terms, compares the documents, flags conflicting conditions and missing information, and lets a reviewer confirm the findings before exporting a structured summary.

Architecture

The concept explores document parsing, OCR, structured extraction, keyword and semantic retrieval, cross-source comparison and evidence-grounded analysis. Each finding retains its source references, review status and relationship to the final output.

Business model

Atlas is exploring a B2B SaaS model for teams that perform high-volume business document review. Future pricing could combine team subscriptions and usage-based processing.

Status

Concept. Atlas is currently being defined and validated as a focused product for AI-assisted business document review and risk analysis.

Discuss Atlas