Initial Prob with Customer to understand their problem w.r.t. their loan application issue
- Anand Nerurkar
- Aug 29
- 3 min read
If HBank called you because their loan processing takes 2 weeks vs ABCs 2 days, you shouldn’t jump to technology fixes immediately — instead, ask structured business + process + technology discovery questions to identify bottlenecks.
Here’s how I would frame the questions to H Bank:
🔹 1. Business & Customer Experience
What is your target turnaround time (TAT) for loan approvals?
Are you losing customers to competitors due to longer processing?
Do you have customer journey mapping for loan origination to disbursement? Where do drop-offs happen?
What KPIs are you currently tracking (approval rate, NPA %, processing time, customer satisfaction, cost per loan)?
🔹 2. Process & Operations
Can you walk me through your end-to-end loan processing workflow (digital application → KYC → credit bureau check → underwriting → approval → disbursement)?
Which parts of the process are manual vs automated?
Are there multiple handoffs between departments (sales, operations, compliance, legal)?
What is the biggest bottleneck — KYC, risk/credit evaluation, documentation, or compliance approval?
How much dependency is there on branch staff/manual file handling?
🔹 3. Technology Landscape
What core systems are you using for loan origination, credit scoring, and disbursement? Are they integrated?
Do you rely on legacy systems (e.g., COBOL, PLSQL-heavy processes) that slow down approvals?
Do you have APIs to integrate with credit bureaus, KYC providers, fraud detection, Aadhaar/e-sign/e-NACH services?
How do you handle workflow automation — BPM tools, RPA, or manual email/document workflows?
What’s your cloud adoption maturity — are you on private data centers, hybrid, or public cloud (AWS, Azure, GCP)?
🔹 4. Risk, Compliance & Security
Are regulatory/compliance checks causing delays? If yes, are they over-engineered/manual?
Do you apply uniform risk scoring or is it case-by-case manual underwriting?
How do you ensure fraud detection (real-time vs batch)?
Are you applying Zero Trust principles across your loan approval ecosystem?
🔹 5. People & Change Management
Is the delay due to manual approvals by risk officers or lack of skilled staff?
How open is the org to automation, AI-based decisioning, and straight-through processing?
Do employees trust AI-driven scoring models, or is there resistance?
🔹 6. Competitive Benchmarking
Do you know how ICICI Bank is achieving 2-day TAT? (straight-through processing, API integrations, digital KYC, ML-based credit scoring).
Which part of their journey do you feel you cannot replicate today due to regulatory, process, or tech constraints?
👉 These questions help you:
Identify bottlenecks (manual KYC, slow underwriting, disconnected systems).
Show you’re not just a tech person — you understand business outcomes.
Prepare ground for solutions: microservices, event-driven architecture, GenAI-based document automation, real-time risk scoring, workflow orchestration, RPA, API-first integrations.
1. Understanding Current Process & Pain Points
Can you walk me through your current end-to-end loan processing workflow (from application to disbursement)?
Where do you see the biggest bottlenecks — KYC, credit scoring, document verification, approvals, or disbursement?
How much of the process is manual vs. automated today?
What are the typical SLAs for each stage (KYC, credit scoring, underwriting, compliance, etc.)?
2. Comparative Benchmarking with Competitors
Have you studied ICICI’s 2-day loan processing flow? What do you think they are doing differently?
Is your challenge primarily regulatory compliance (slowing down processes) or technology/process inefficiencies?
Are there areas where you think customer experience is compromised due to delays?
3. Customer Experience & Business Priorities
How do customers perceive the 2-week turnaround time? Is it leading to drop-offs or customer churn?
What percentage of loan applications are lost because of delays?
Is faster processing a top priority for leadership, or is risk management/compliance more important?
4. Technology & Operations
What systems do you currently use for KYC, credit scoring, and underwriting? Are these legacy or modernized?
Are your teams relying on batch processing, or do you have real-time integrations with credit bureaus, UIDAI, CIBIL, etc.?
Do you already use AI/ML in fraud detection or risk scoring, or is it mostly rule-based/manual?
How are documents handled today — OCR, AI-based extraction, or manual verification?
5. Governance, Risk & Compliance
Are compliance checks (RBI, SEBI, internal audits) adding to delays?
Would you be open to adopting agentic AI or RPA bots to assist in compliance/KYC without compromising security?
How do you balance speed vs. risk appetite in loan disbursement?
6. Strategic Vision
Is the 2-day SLA from ICICI setting a benchmark you want to match, or do you aim to go beyond that (say, instant/same-day approval)?
Would leadership be open to phased modernization (quick wins → full transformation) or do you prefer a big-bang change?
Do you already have an enterprise modernization roadmap, or do we need to define one together?
👉 The key is:
Listen first (understand if bottleneck is people, process, or technology).
Then map solutions like event-driven microservices, AI-driven KYC/credit scoring, GenAI for document processing, and RPA for automation.
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