About the project:

For organisations that deal with high volumes of contracts and compliance documents, data entry is a hidden tax on productivity. Staff spend hours reading through PDFs, pulling out key information manually, and entering it into systems: a process that is slow, inconsistent, and prone to error. When documents arrive in different formats, from different sources, the problem compounds.

An Energy & Utilities company came to AdvanceWorks with exactly this challenge. Their teams were bogged down in manual document analysis, data quality was inconsistent, and there was no centralised way to process or access information across the organisation. Critical data locked inside contracts and scanned documents wasn’t reaching the systems and dashboards where it was actually needed.

AdvanceWorks designed and built an intelligent document extraction pipeline combining OCR and large language models (LLMs) to automate the full process end-to-end. Whether a document is a native digital PDF or a scanned paper contract, the pipeline reads it, extracts the relevant data, validates it, and delivers structured, standardised output ready for system integration. All document processing was consolidated into a single accessible application, and data from multiple sources now flows into one unified platform: feeding real-time Power BI dashboards that give decision-makers the visibility they need without waiting for manual reports.

Goals achieved:

• Operational efficiency: Staff are freed from time-consuming document analysis and manual data entry, redirecting their time to higher-value work. 
• Error elimination: Automated extraction and validation removes the data-entry mistakes that previously introduced inconsistencies downstream. 
• Centralised document processing: All contracts and documents are handled through a single, accessible application: no more fragmented workflows across teams. 
• Unified data platform: Information from multiple document sources is consolidated into one platform, giving the organisation a consistent, reliable view of its data.

Results:

The impact was immediate and measurable. What previously took hours of manual effort now completes in seconds: a 95% improvement in processing efficiency. Accuracy increased significantly, with automated validation catching errors before they reach downstream systems.

Real-time Power BI dashboards now surface the data that was previously trapped in documents, enabling faster, more confident decision-making across the organisation. And because the architecture is built to scale, the platform handles growing document volumes and supports multi-document processing without additional manual overhead.

The shift goes beyond efficiency gains. The organisation has moved from a document-handling process that was a bottleneck to one that is an asset: structured, automated, and ready to support the data demands of a growing operation.