From 600 Contracts to One Click
How a government contract portfolio was transformed from a manual review burden into an automated, audit-ready extraction capability
Overview
A government organization managed a portfolio of more than 600 contractual agreements. Extracting the essential data from those agreements was a manual, repetitive exercise carried out under constant time pressure.
Formats varied widely from one agreement to the next. That inconsistency made extraction slow, introduced errors and increased the risk that valuable information would be missed altogether. Where obligations are contractual, missed information is not an inconvenience; it is exposure.
The organization recognized that the answer was not more reviewers. It needed a repeatable, automated way to pull accurate data from documents that were never designed to be consistent.
Precision built an AI-powered extraction engine that automates data retrieval with a single click.
The Challenge
High-value information locked inside inconsistent documents
The existing process faced several interconnected challenges:
- More than 600 agreements required manual handling and review.
- Inconsistent contract formats prevented a standard extraction approach.
- Manual effort was slow and difficult to scale across the portfolio.
- Errors and omissions created compliance and obligation risk.
- Critical contractual details risked being overlooked.
- Valuable staff time was consumed by low-value data entry.
The challenge was to build automation that could absorb format variation without sacrificing accuracy.
The Objective
Automate extraction without compromising accuracy
The objective was to remove manual effort from contract data extraction while raising the reliability of the output.
The program focused on:
- Automating extraction across a varied contract portfolio
- Achieving accuracy high enough to be relied upon operationally
- Reducing turnaround time from days to minutes
- Designing for extension to future contract datasets
- Embedding compliance and access controls into the workflow
- Freeing skilled staff for higher-value work
The Solution
Combine software engineering with proven AI services
Precision engineered a solution that integrated software engineering with Amazon Textract and custom LLM-based natural language processing workflows. The combination allowed structured and semi-structured content to be read reliably, while language models handled the interpretation that rigid rules could not.
Deliver in phases, prove value early
Delivery was structured across two phases using an agile framework. Critical contracts were addressed first, allowing accuracy to be validated and confidence to be established before the approach was extended across the wider portfolio.
Build for what comes next
The software design deliberately prioritized reusability and scalability. Configurable models and reusable workflows mean the engine can be extended to future phases and new contract types without rebuilding the foundation.
Embed compliance into the automation
Security and governance were built into the automation itself, with role-based access control, encryption and audit-ready processing. Compliance became a property of the workflow rather than a separate control layer.
The Impact
98% extraction accuracy and 10x faster processing
Automated extraction delivered 98% data extraction accuracy and processing 10x faster than the manual process it replaced.
The client also achieved:
- 90% reduction in manual effort:
Skilled staff were released from repetitive extraction work. - Consistent output:
Automation removed the variability introduced by manual handling of inconsistent formats. - Lower compliance risk:
Fewer omissions meant fewer missed contractual obligations. - Extraction on demand:
Data retrieval was reduced to a single click. - A scalable engine:
The architecture supports future contract datasets and phases. - Predictable delivery:
100% agile project management kept the two-phase rollout on track.
Automate Better, Govern Smarter
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