Why This Process Is a Good Automation Candidate
New customer credit applications often arrive by email, web form, or PDF attachment. Staff then copy company details, tax IDs, trade references, requested credit limits, and signed terms into a CRM, ERP, or credit review spreadsheet. UiPath and AI can reduce this manual intake work while keeping final credit decisions with your team.
Step 1: Define the Intake Rules
Start by documenting what a complete application must include. Keep this practical and specific.
- Legal company name and billing address
- Tax or registration number
- Requested credit limit
- Accounts payable contact
- Trade references or bank details
- Signed credit terms
These rules tell the automation what to extract, what to validate, and when to stop for human review.
Step 2: Use AI to Read the Application
Use UiPath Document Understanding or an AI extraction model to read incoming forms and attachments. The goal is not to approve credit automatically. The goal is to turn unstructured documents into clean fields your business systems can use.
For low-confidence fields, send the item to an action center queue for review. This prevents bad data from entering your ERP or CRM.
Step 3: Validate Before Creating Records
Build checks before the robot creates or updates a customer record. Useful validations include duplicate company search, required field completion, email format checks, and matching the application name against existing accounts.
If the application is incomplete, the robot can draft a request for missing information instead of letting the file sit in an inbox.
Step 4: Route the File to the Right Reviewer
Not every application needs the same treatment. Create simple routing rules. For example, applications below a certain requested limit can go to one queue, while high-value or international accounts can go to senior review.
UiPath can attach the extracted data, original documents, and validation notes so reviewers do not have to search through emails.
Step 5: Measure ROI in Operating Terms
Track ROI with measures that connect to daily work:
- Minutes saved per application
- Applications processed per week
- Reduction in incomplete submissions sitting idle
- Fewer duplicate customer records
- Faster handoff from sales to credit review
Estimate savings by multiplying avoided manual handling time by application volume. Add value for fewer rework cycles and quicker customer setup, but keep those benefits separate from hard labor savings.
Start Small
Pilot the automation with one application format and one business unit. Once extraction quality and routing rules are stable, expand to more forms, regions, and customer types.
