Data entry ops · Production

Carbon Direct achieves 97% touchless utility bill processing with Docsumo, reaching client ESG goals 2x faster

The problem

Carbon Direct needed to parse utility bill data for carbon management clients at scale; manual data capture was slow and prevented clients from reaching ESG goals quickly.

Workflow diagram · grounded in source
1
Utility bills received
trigger
“automates 97% of its utility bill data capture workflow”
2
Docsumo automated parsing
ai_action
“97% Touchless Utility Bill Processing”
3
Automatic or minimal human effort
output
“the team efforts are down to either fully automatic parsing or only a few minutes per customer”
Reported outcome

Docsumo automated 97% of utility bill data capture, achieved straight-through processing in six months, reducing team effort to either fully automatic parsing or only a few minutes per customer.

Reported metrics
Straight-through processing rate97%
ESG goal achievement speed improvement2x faster
Time to achieve processing targetsix months
Time savings in parsing utility billsHuge time savings
Reported stack
Docsumo
Source
https://www.docsumo.com/customers/case-studies/carbon-direct
Read source ↗

Frequently asked questions

What did this team achieve with this AI workflow?

Docsumo automated 97% of utility bill data capture, achieved straight-through processing in six months, reducing team effort to either fully automatic parsing or only a few minutes per customer.

What tools did this team use?

Docsumo.

What results were reported?

Straight-through processing rate: 97%; ESG goal achievement speed improvement: 2x faster; Time to achieve processing target: six months; Time savings in parsing utility bills: Huge time savings (source-reported, not independently verified).

How is this data entry ops AI workflow structured?

Utility bills received → Docsumo automated parsing → Automatic or minimal human effort.