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Process automation case study using the ROI-FIRST approach

Credit Assessment & Vehicle Plan Adjudication

Industry

Financial Services - Vehicle Financing

Date

Jul 17, 2026

Company size

Mid-size (51–200 employees)

Recommendation

✅ Automate

Time saved

From 22.5 min to 4.5 min per case

Process automated

Credit Assessment & Vehicle Plan Adjudication

Process description

A high-volume, end-to-end credit evaluation process covering document intake, OCR/manual data extraction, external risk portal queries, financial capacity analysis, credit decision, and client notification. The process handles approximately 2,200 requests per month across 22 business days - nearly 100 per day - managed by a 5-person team operating in continuous manual mode. No structured traceability exists per request; cycle time ranges from 15 to 30 minutes per case but is unmeasured by stage. The process runs 8 hours a day, limited by human availability.

ROI Automation, recommendation and costs

COP

currency $:

Level of Automation
% Automation
Cases x Month
Time x Case (hours)
High - 8 of 9 sub-processes fully automatable: document intake, OCR/IDP extraction, external portal queries, identity validation, financial capacity rules engine, credit decision routing, client notification, and core system registration
80
2200
0.375
Personas Involucradas
Nivel de Cargo Promedio
Average Monthly Salary
Real Company Cost with Benefits
5
Mixed: Coordinator/Supervisor (Level 3, x1), Senior Analyst (Level 4, x2), Junior Analyst/Assistant (Level 5, x2)
3.166.667
4.855.725
Monthly Operational Cost
Annual Operational Cost
Estimated Monthly Savings
22.616.175
271.394.100
18.092.940
Estimated Annual Savings
Year 1 Investment
Net Benefit Year 1
217.115.280
104.000.000
113.115.280
Cumulative Net Benefit 3 Years
FTE Equivalente Liberado
499.345.840
4

Power in Numbers

109

ROI Year 1 (%)

6

Payback (months)

2.1

Cost/Benefit ratio

✅ Automate

80% of the process is automatable - covering 8 of 9 sub-processes at 100% automation each. The current model absorbs 825 operational hours per month across 5 full-time roles, all spent on manual document classification, external portal queries, data entry, and email-based decision routing. The financial case is clear: COP $217,115,280 in annual savings against a COP $104,000,000 Year 1 investment yields a 109% first-year ROI with a 6-month payback. Beyond the numbers, the case for automation is strategic: the current setup caps daily processing at 100 requests tied to 5 people on an 8-hour schedule. Automation doubles throughput to 200+ daily requests with 24/7 availability, zero additional headcount, and full audit traceability per decision - turning a compliance liability into a competitive asset.

Signs of inefficiency detected

Continuous manual follow-up required to track each request status - no structured traceability exists. Document recovery and classification done manually at 100 cases per day. Credit decisions routed via email, generating daily bottlenecks. No visibility into process stage per request at any point in the flow. Cycle time unmeasured by stage - total time ranges from 15 to 30 minutes with no breakdown. Critical dependency on 1–2 people for financial analysis and capacity rules. Final core system registration, document classification, and status tracking all handled outside the system via Excel and email.

If your credit process runs on 5 people at 100 cases a day - and stops when they leave the office - the financial case for automation is already there. Let's review it.

+1- 407 9907657
mmp@timeautomationagency.com

NEVADA, United States

Fax : +1 775-375-4140

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