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Initial Prob with Customer to understand their problem w.r.t. their loan application issue

  • Writer: Anand Nerurkar
    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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