Data entry ops · Production

Westland uses Docsumo Document AI to process utility bills with 98% data extraction accuracy

The problem

Westland's operations team processed utility bills from 6 different service providers across a portfolio of 14k units, requiring them to retrain or switch among multiple solutions to handle different bill formats — a manual bottleneck at scale.

Workflow diagram · grounded in source
1
Utility bills received
trigger
“We're processing utility bills from 6 different service providers for portfolio management”
2
Auto-classification
ai_action
“Docsumo's auto-classification feature streamlines utility bill processing”
3
Data extraction
ai_action
“Westland Utilizes Document AI to Fast-track Utility Bill Data Capture With 98% Accuracy”
Reported outcome

Docsumo achieved 98% data extraction accuracy and saved over 97.5% of operations teams' time by processing all bill versions from multiple providers through a single solution.

Reported metrics
Data extraction accuracy98%
Operations team time saved97.5%
Utility bills processed monthlyover 2k
Straight-through processingachieved
Reported stack
Docsumo
Source
https://www.docsumo.com/customers/case-studies/westland
Read source ↗

Frequently asked questions

What did this team achieve with this AI workflow?

Docsumo achieved 98% data extraction accuracy and saved over 97.5% of operations teams' time by processing all bill versions from multiple providers through a single solution.

What tools did this team use?

Docsumo.

What results were reported?

Data extraction accuracy: 98%; Operations team time saved: 97.5%; Utility bills processed monthly: over 2k; Straight-through processing: achieved (source-reported, not independently verified).

How is this data entry ops AI workflow structured?

Utility bills received → Auto-classification → Data extraction.