Finance ops · Production

Grid Finance Approves Loans 2x Faster With 93% Accurate Income Data Capture

The problem

Grid Finance, an Irish income verification and lending company supporting SMBs, needed to process bank statements and pay slips faster and more accurately to scale its lending operations.

Workflow diagram · grounded in source
1
Bank statement / pay slip intake
trigger
“processing bank statements and pay slips 90% faster helped this Irish income verification and lending company”
2
ML-powered data extraction
ai_action
“the ability to customize the Machine Learning model against our edge cases, which has improved our document extraction process tenfold in accuracy and speed”
3
Loan approval decision
output
“Grid Finance Approves Loans 2x Faster With 93% Accurate Income Data Capture”
Reported outcome

Grid Finance now approves loans 2x faster with 93% accurate income data capture, processes bank statements and pay slips 90% faster, and has improved its document extraction process tenfold in accuracy and speed.

Reported metrics
Loan approval speed2x Faster
Income data capture accuracy93%
Bank statement and pay slip processing speed90% faster
Document extraction accuracy and speed improvementtenfold in accuracy and speed
Reported stack
Machine Learning model
Source
https://www.docsumo.com/customers/case-studies/grid-finance
Read source ↗

Frequently asked questions

What did this team achieve with this AI workflow?

Grid Finance now approves loans 2x faster with 93% accurate income data capture, processes bank statements and pay slips 90% faster, and has improved its document extraction process tenfold in accuracy and speed.

What tools did this team use?

Machine Learning model.

What results were reported?

Loan approval speed: 2x Faster; Income data capture accuracy: 93%; Bank statement and pay slip processing speed: 90% faster; Document extraction accuracy and speed improvement: tenfold in accuracy and speed (source-reported, not independently verified).

How is this finance ops AI workflow structured?

Bank statement / pay slip intake → ML-powered data extraction → Loan approval decision.