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Success Story

2,600+ Contracts Structured with 95% Extraction Accuracy: How AI-Assisted Extraction Improved Contract Visibility and Reporting

2,600+

Contracts structured at scale

~95%

Extraction accuracy achieved

10,400+

Manual review hours avoided

$73M+

Opportunity identified across the contract portfolio

Key Insight

2,600+ Contracts Structured at Scale

Large contract portfolio processed in weeks, which would have been difficult to manage manually.

~95% Extraction Accuracy Achieved

Delivered output that could support downstream reporting and analysis.

55+ Contract and Compliance Parameters Structured

Created a more consistent view of key contract attributes across the portfolio.

$73M+ Opportunity Identified Across the Contract Portfolio

Helped identify pricing and contract value opportunities across thousands of contracts by turning complex files into structured, analyzable data.

10,400+ Manual Review Hours Avoided

Modeled using a conservative assumption of 4 hours per contract across 2,600 contracts.

Overview

A major professional services firm managed thousands of contracts and pricing files spread across projects and business units. Important details such as pricing, milestones, contract value, and other commercial terms were buried in PDFs and spreadsheets. The formats were inconsistent, which made manual review slow and hard to scale.

Leadership did not have a centralized view of the data inside these documents. The information existed, but it was locked inside complex files and still required heavy manual review before it could be used for reporting or analysis.

TechWish addressed this challenge with an ATLAS-powered solution tailored to the organization’s document and reporting needs. Using AI-assisted extraction, the solution identified key business data from contract documents and pricing workbooks, then converted it into a structured, analysis-ready format for reporting, operational use, and downstream analytics.