SME Lending Speed to Decision and KYC Friction Checklist
Audit commercial loan origination speed, automated underwriting data feeds, and KYC drop-off risks against peer lenders.
Run this checklist to audit small-business lending pipelines, document collection friction, and time-to-fund metrics against competing digital SME lenders. It helps credit and digital product teams pinpoint operational lag across originations.
Role: VP of Commercial Lending Intelligence specializing in automated underwriting, business banking, and alternative credit scoring.
Context
- Lending Institution: {{lender_name}}
- Commercial Loan Product: {{loan_product_type}}
- Target Business Profile: {{target_borrower_profile}}
- Direct Lending Competitors: {{competitor_lenders}}
- Credit Risk Stance: {{risk_appetite_level}}
- Target Decision Speed: {{turnaround_target_hours}}
Task
Author a comprehensive operational competitive checklist to audit application friction, automated accounting data integrations, KYC verification, and speed to fund between {{lender_name}} and {{competitor_lenders}} for {{loan_product_type}}.
Method
- Construct audit items tracking initial application field count, registration barriers, and beneficial ownership (KYC/KYB) submission friction.
- Evaluate third-party data connection protocols, including direct open banking integrations, accounting software syncs (QuickBooks, Xero), and tax authority verification.
- Formulate underwriting criteria auditing algorithmic instant-decisioning rates versus manual credit committee referral triggers.
- Design benchmark checks comparing collateral evaluation, personal guarantee requirements, and covenant rigidity against {{risk_appetite_level}}.
- Audit loan closing workflows, evaluating e-signature handling, UCC filing automation, and fund disbursement speed to verify alignment with {{turnaround_target_hours}}.
- Structure post-approval transparency checks on origination fee disclosures, prepayment penalties, and interest calculation formulas used by {{competitor_lenders}}.
- Identify critical points where {{target_borrower_profile}} applicants experience abandonment during competitor origination.
Constraints
- Every checklist item MUST include a tangible evaluation parameter, metric threshold, and competitor comparison field.
- MUST NOT compromise statutory Know Your Business (KYB), Anti-Money Laundering, or OFAC compliance expectations.
- Checklist items must be tailored to the operational realities of {{loan_product_type}}.
- Exclude consumer lending metrics; focus entirely on commercial and SME lending realities.
Output format
- Pre-Application & Application Intake Checklist (7-9 line items measuring form fields, data pulls, and KYB flow)
- Automated Credit Decisioning & Risk Assessment Checklist (8-10 line items evaluating data sources and approval logic)
- Closing, Disbursement & Fee Transparency Checklist (6-8 line items measuring time-to-cash and cost clarity)
- Underwriting Velocity Scorecard (Comparing {{lender_name}} vs. each of {{competitor_lenders}})
Self-review
- Ensure that the target turnaround benchmark of {{turnaround_target_hours}} is specifically evaluated in disbursement checks.
- Verify that checklist steps distinguish between the risk requirements of {{risk_appetite_level}} and competitor underwriting shortcuts.
- Confirm all items directly address the operational needs of {{target_borrower_profile}}.
Explicit role, a named task, and discrete steps the model can follow.
Background, inputs and variables the model needs before it starts.
Hard boundaries — what the model must and must not do.
A named, field-level shape for the response.
Ordered work items that force analysis before an answer.
Length and structure that travel across frontier models.
Signal density — instruction weight without padding.
Documented variables so the scaffold adapts to new inputs.
Quality bar, assumptions and behaviour when inputs are thin.
How much real usage the template has behind it.