A relationship manager's time spent on an unqualified lead is a relationship manager's time not spent on a qualified one. The SDR AI qualifies every inbound enquiry — from web form, WhatsApp, missed call callback, DSA referral, or branch walk-in — with 12 structured questions that establish loan product fit, income eligibility, urgency, and decision-making stage before the RM receives the lead. The RM's first conversation is a closing conversation, not a discovery one.
What qualification actually establishes — and what it does not
Lead qualification in lending is not a credit assessment. The SDR AI is not underwriting the lead — it is establishing whether the lead is worth the institution's next investment of human attention. Qualification answers four questions: Does this lead want a product the institution offers? Does their stated financial profile make them plausibly eligible? Are they at a stage in the buying journey where a relationship manager conversation will produce a useful outcome? And are there any hard eligibility disqualifiers — age, geography, negative list — that make engagement futile regardless of interest?
If all four answers are positive, the lead is routed to an RM with a complete qualification brief. If one or more is negative but remediable (e.g., geography: temporarily outside serviceable area), the lead enters the nurture sequence. If there is a hard disqualifier, the SDR AI closes the lead respectfully and logs the disqualification reason — not a dead end, because circumstances change, but an end to the current engagement cycle.
"A qualified lead is not a lead that will definitely close — it is a lead where an RM's time is likely to be well spent. Those are different standards, and the SDR AI is designed for the second one."
The 12 questions — structured, branching, and conversational
Module 1 — Product and Purpose (Q1–Q3)
Establishes product fit before any eligibility question
Q1
"What kind of loan are you looking for — home loan, business loan, personal loan, or something else?"
Open question to establish product category without anchoring the lead to a specific product. Responses are classified into: home loan, MSME/business, personal loan, vehicle, gold, education, or other. "Something else" responses are followed up with a free-text clarification.
Route: if product not offered → redirect to appropriate institution · Log: lead disqualified (product mismatch)
Route / disq
Q2
"And what would you use the loan for — buying a property, expanding a business, personal expenses, or something else?"
Confirms loan purpose, which drives which product variant to offer and which RM to route to. A "business" response to Q1 followed by "buying a property" here may mean LAP rather than MSME — the purpose question resolves ambiguity. It also flags early mismatches (e.g., personal loan for business purpose → suggest MSME product).
Score: purpose consistency with product request · Flag: personal loan for business purpose → suggest MSME variant
Score
Q3
"How much are you looking to borrow — roughly?"
Ticket size is the single most important qualification variable for RM routing. A ₹2L personal loan and a ₹2Cr home loan require different RM seniority, different turnaround expectations, and different conversation depth. The SDR AI brackets the response: under ₹5L, ₹5L–₹25L, ₹25L–₹1Cr, above ₹1Cr. Responses below the product minimum are flagged as potential product misfit.
Route: ticket size determines RM tier · Disq: below product minimum → flag and suggest alternative · High-value: senior RM assigned
Route
Module 2 — Eligibility Signals (Q4–Q7)
Establishes plausible eligibility — not credit assessment
Q4
"Are you currently employed, self-employed, or do you run a business?"
Employment type is the most fundamental eligibility classifier — it determines which income documentation path applies, which credit policy is relevant, and which RM (salaried specialist vs business banking specialist) should handle the lead. Retired, unemployed, or homemaker responses trigger a co-applicant eligibility question.
Route: salaried → salaried RM · SE/Business → MSME/business banking RM · Retired/unemployed → co-applicant check Q
Route
Q5
"What's your monthly income, roughly — just a ballpark is fine?"
Not a credit question — a fit question. The SDR AI maps the stated income against the minimum income floor for the stated product and ticket size. If the stated income would make the FOIR at the requested ticket size impossibly high, the SDR AI flags this and either discusses a smaller ticket or explains the income requirement — before the RM invests time in a technically ineligible lead.
Disq: stated income below product floor → explain requirement, explore lower ticket · Score: income to ticket ratio
Score
Q6
"Do you have an existing loan? If yes, roughly what's your total EMI per month?"
Existing EMI load is the primary FOIR pre-check. The SDR AI adds the approximate new EMI (based on stated ticket size and standard rate) to the stated existing EMI and divides by the stated income. If this preliminary FOIR exceeds 55%, the lead is flagged for eligibility review rather than routed to an RM — the RM's time is better spent on leads where preliminary FOIR is within range.
Score: preliminary FOIR computed · Ref if >55%: flag for eligibility discussion before RM route
Score / ref
Q7
"What's your current age, if you don't mind me asking?"
Age is a hard eligibility gate — minimum age 23, maximum age 65 at loan maturity. For a 62-year-old requesting a 20-year home loan, the age-at-maturity (82) exceeds the policy limit. The SDR AI flags this immediately and suggests a shorter tenure that keeps the loan within policy — a specific, constructive response rather than a disqualification that ends the conversation.
Disq: age at maturity exceeds 65 → explore shorter tenure · Confirm: age ≥23
Gate
Module 3 — Geography and Collateral (Q8–Q9)
Confirms serviceability and security — for secured products
Q8
"Where are you based — which city or town?"
Geography determines whether the institution can service the loan (branch presence or approved DSA territory), whether the property (for secured loans) is in an approved pin code list, and which RM team covers the area. A lead from an unserviceable geography is not disqualified — it is put on a watch list for when the institution expands coverage to that area.
Disq: unserviceable geography → watch list, not active disqualification · Route: geography determines RM team
Route
Q9
"For a home loan or LAP — do you already have the property identified? Or are you still in the search stage?"
Property readiness determines the urgency and nature of the RM conversation. A lead with an identified property needs a sanction letter quickly — they are in active buying mode and a delay of even a week may cost the deal. A lead still searching does not need an RM now — they need the pre-qualification that a sanction-in-principle letter provides, plus a follow-up when the property is identified.
Route: property identified → urgent RM assignment · Still searching → nurture sequence + pre-qualification letter
Urgency
Module 4 — Buying Stage and Decision Timeline (Q10–Q12)
Establishes urgency and next step
Q10
"Are you comparing options from a few lenders, or are you pretty much ready to proceed?"
Decision stage is the most important routing signal for RM assignment urgency. A lead who is "comparing" is 2–4 weeks away from a decision — the SDR AI sequences the RM contact at day 3–5, not immediately. A lead who is "ready to proceed" is an urgent transfer — the RM should receive the brief and call within 4 hours. The response also tells the RM what angle to take: comparison mode needs a differentiation conversation; ready-to-proceed needs a process conversation.
Urgent: ready to proceed → RM contact <4 hours · Comparing: nurture + RM at day 3–5 · Early: education sequence
Urgency
Q11
"Have you checked your credit score recently? Do you know roughly where it stands?"
Self-reported credit score is not reliable for credit purposes but is revealing for qualification purposes. A lead who reports a score below 650 needs a credit improvement conversation before an RM call — the RM's time would be wasted on a lead who cannot meet the minimum bureau threshold. A lead who reports "I have no loans and have never checked" is a thin-file candidate who may qualify through alternative assessment.
Disq: self-reported <650 → credit improvement guidance, future re-engagement · Thin file → flag for alternative assessment
Score / disq
Q12
"Is there a specific time frame you're working with — when do you need the funds by?"
Timeline urgency is the final prioritisation signal. A lead who needs funds within 2 weeks for a property closing is an emergency routing case — the RM must know that the borrower's timeline constrains the processing window. A lead with no specific deadline can be managed in a standard follow-up cadence without urgency pressure. The timeline answer also helps the SDR AI assess whether the institution's typical TAT can serve the need before it expires.
Urgent timeline: TAT feasibility check → RM briefed on timeline constraint · No deadline: standard nurture
Urgency
A full qualification conversation: WhatsApp, 8 minutes, fully qualified
SDR AI Qualification — WhatsApp · Rajesh Kumar · Inbound via web form
Nov 14, 2025 · 11:04 AM · 8 minutes · Outcome: Qualified → RM routed
SDR AI
Hello Rajesh! Thanks for your interest in a loan with us. I'm [Institution Name]'s digital assistant — I'll ask you a few quick questions so we can connect you to the right advisor. What kind of loan are you looking for?
Rajesh
Home loan
SDR AI
Great. Are you buying a property, or is this for construction or something else?
Rajesh
Buying a 2BHK in Whitefield, Bengaluru
SDR AI
Whitefield — we're active there. How much are you looking to borrow, roughly?
Rajesh
Around 60–65 lakhs
SDR AI
That's well within our range. Are you currently salaried, self-employed, or do you run a business?
Rajesh
I'm a software engineer, salaried
SDR AI
Understood. To give you a quick sense of your eligibility, what's your monthly take-home roughly — just a ballpark is fine?
Rajesh
Around 1.4 lakh a month
SDR AI
That's comfortably in range for a ₹65L home loan. Do you have any existing EMIs currently?
Rajesh
Just a car loan — about 18,000 a month
SDR AI
Your preliminary debt-to-income ratio looks very comfortable. Have you already identified the property, or still looking?
Rajesh
Yes, we've identified a flat — the builder says we need to confirm within the next 3 weeks
SDR AI
3 weeks is tight but manageable — our home loan sanction typically takes 4–7 working days once documents are in. One last thing: have you compared options from other lenders, or are you ready to move ahead?
Rajesh
I've spoken to HDFC but haven't decided. Your rate looked good online.
SDR AI
Perfect. I'll connect you with a home loan advisor who can confirm your eligibility and walk you through our offer vs what you've seen elsewhere. Can I confirm this number is best for a call — today or tomorrow?
Rajesh
Today afternoon works, around 4 PM
12 questions answered in 8 minutes · RM brief generated · Rajesh's score: 84 / 100 · Route: Senior Home Loan RM · Urgency: High (3-week property deadline) · Call scheduled 4 PM today
Lead score
84 / 100
Preliminary FOIR
32% (₹60L at 9.85%)
Routing decision
Senior HL RM · 4 PM
● Qualification complete · RM brief dispatched · CRM record created with all 12 answers
● Competing lender noted: HDFC · Property deadline: 3 weeks · High urgency flag set
12Questions across 4 modules — product fit, eligibility, geography, and buying stage
8 minAverage full qualification conversation — WhatsApp, conversational, no form-filling friction
84Lead score for Rajesh — above 75-point routing threshold · Senior RM assigned · 4 PM call
3 weeksProperty deadline flagged — urgency context the RM receives before their first call, not during it
The RM's first call is a closing call — not a discovery call
A relationship manager who receives a lead with no qualification information spends their first 10 minutes of every call learning what the SDR AI would have captured in 8 minutes before the call was made. Multiply that by 20 leads per day and the RM is spending 3 hours per day on discovery conversations that produce no revenue. The SDR AI's qualification eliminates the discovery conversation from the RM's workday entirely — the RM knows the product, the ticket, the income, the existing EMIs, the urgency, the competing lender, and the best time to call before they dial. Every minute of the RM's time produces revenue, not information collection.