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·10 min read

5 Signs Your Credit Process Is Costing You ₹10L+ Per Month

Here’s a number most lending institutions never calculate: the true cost of an inefficient credit process. When we run the numbers with mid-size NBFCs and banks, the hidden cost typically lands between ₹10–25 lakhs per month.

Sign 1: Your TAT Exceeds 5 Days for Standard Commercial Loans

The benchmark:Leading institutions are processing standard commercial term loans in 24–48 hours. If your TAT is still 5+ days, you’re operating at a structural disadvantage.

Every extra day of TAT is a day the borrower might close with someone else. For a mid-size NBFC processing 200 applications per month, even a 10% abandonment rate due to slow processing means 20 lost deals.

The Real Calculation

  • Applications per month: 200
  • Abandonment due to slow TAT: 10% = 20 applications
  • Average ticket size: ₹50L
  • Annual net interest margin: 3%
  • Lost annual revenue: ₹3 Cr
  • Monthly cost of slow TAT: ₹25L

Sign 2: Credit Officers Spend More Than 60% of Time on Data Gathering

Walk through your credit team’s typical day. How much time goes to pulling bureau reports, downloading and analysing bank statements, cross-referencing GST filings and bureau data, extracting data from financial statements, entering information into the LOS, and chasing documentation?

If the answer is more than 60%, your credit officers are expensive data entry operators. You hired them for their judgment, risk assessment skills, and relationship intelligence.

The cost:A senior credit analyst costs ₹1.2–2L per month (fully loaded). If 60% of their time is administrative, you’re paying ₹72K–1.2L per analyst per month for data entry. Scale that across a team of 10–15, and you’re looking at ₹7–18L per month in misallocated human capital.

Sign 3: You See Inconsistent Decisions Across Officers

Pull up 50 similar applications that went to different credit officers. Look at the outcomes. If you see significant variance in approval rates, pricing decisions, documentation requirements, or conditions imposed — you have a consistency problem.

Institutions that standardize through agentic decisioning typically see a 15–20% improvement in risk-adjusted returns — because the same policy is applied uniformly, every time.

Sign 4: Compliance Preparation Takes Weeks, Not Hours

When your compliance team or auditors ask for documentation on a credit decision, how long does it take to assemble the complete data, the rationale for approval/rejection, evidence that your policy was followed, the deviation approval chain, and post-sanction monitoring documentation?

If the answer is “weeks of pulling together spreadsheets and emails,” you have a documentation gap that creates three costs:

  1. Direct cost: Staff time spent on audit prep instead of productive work
  2. Risk cost: Regulatory findings due to incomplete documentation
  3. Opportunity cost: Inability to prove your process quality to rating agencies, investors, or acquiring institutions

Agentic systemsmaintain complete decision audit trails automatically. Every data point, every assessment, every decision rationale — documented in real time, retrievable in seconds.

Sign 5: You Cannot Scale Volume Without Proportional Hiring

Here’s the growth math most lending institutions face:

  • Board mandate: 30% portfolio growth this year
  • Current capacity: 200 applications/month with 12 credit officers
  • To handle 260 applications/month: need 3–4 more officers
  • Hiring timeline: 2–3 months to find, 2–3 months to train
  • Fully productive capacity: 6 months from now

Cost of linear scaling: ₹10–13L per month — and you still won’t hit capacity for 6 months

Institutions using agentic credit decisioning typically handle 3–5x their previous volume with the same team size.

The Compound Effect

These five signs rarely appear in isolation. Slow TAT causes borrower attrition. Data-heavy work causes officer burnout and turnover. Inconsistency causes risk losses. Documentation gaps cause compliance costs. Inability to scale causes missed growth targets.

Institutions that move to agentic credit decisioning typically see:

  • 70% TAT reduction within the first quarter
  • 80% reduction in data gathering time for credit officers
  • Near-zero inconsistency in policy application
  • Instant compliance documentation for every decision
  • 3–5x capacity scaling without proportional hiring

Recognised your institution in three or more signs?

Book a 30-minute consultation. We’ll walk through the numbers for your specific situation — no pressure, no lengthy sales process.

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