A pre-approval offer sent at the wrong moment is a pre-approval offer that waits in a WhatsApp archive until it expires. The borrower who receives a home loan top-up offer the week their EMI bounced for the first time is not thinking about expanding their credit — they are thinking about making the current payment. The borrower who receives the same offer the week after they received a salary increment is thinking about what they can now afford. Same offer, same borrower, 6-week difference in timing — completely different conversion probability. The Pre-Approval Offer AI determines the optimal send moment for each of the 6,841 pre-approved offers individually, from a model that combines payment cycle position, income event proximity, engagement patterns, and suppress windows.
Why timing is more controllable than most institutions assume
Intuition says timing is unpredictable — institutions cannot know when a borrower is thinking about a new loan. In practice, timing is more predictable than it appears, because the majority of meaningful financial decision moments are either calendar-anchored (salary credit, financial year-end, festive season, anniversary) or behaviour-anchored (a recent prepayment indicates surplus, a portal visit indicates active thinking, an EMI calculator use indicates active modelling). The Pre-Approval Offer AI does not have to guess — it reads the borrower's payment cycle, monitors their portal engagement, tracks income events via Account Aggregator, and computes the send window where the offer has the highest probability of being read and acted on.
The two suppression rules are as important as the send rules. A borrower who missed an EMI in the last 30 days is in a stressed financial moment — sending them a top-up offer in this window would be insensitive and would likely be rejected or create a grievance. A borrower who received a different product communication from the institution in the last 14 days is in a message-density window — overlapping outreach reduces the response rate on all messages. The Pre-Approval AI applies these suppress windows automatically, holding the offer until the window clears.
The timing model: five inputs to one send date
The optimal send window is 5–10 days after the borrower's EMI due date — after they have confirmed the payment is done
A borrower who has just successfully paid their EMI has closed their month's primary financial obligation. For the next 5 to 20 days, they are typically in a period of relative financial comfort — the big payment is done, the next one is weeks away. This is the best window for a financial offer: they have confirmed capacity and are not in a stressed moment. Sending before the EMI due date introduces timing uncertainty — if the NACH bounces, the borrower is suddenly in a very different mental state than the offer assumes.
→ Send window: EMI due date + 5 to EMI due date + 10 · Avoid: 3 days before and 7 days after any EMI due dateSend within 72 hours of a confirmed salary credit or a particularly strong GST filing period
For salaried borrowers with Account Aggregator consent, the Pre-Approval AI monitors for the monthly salary credit. Within 72 hours of a salary credit, the borrower's financial optimism is highest — they have just seen their income arrive and are thinking about what they can do with it. For MSME borrowers, a strong month of GST revenue (quarter-end filing showing growth) creates a similar mental state: the business is doing well, expansion feels natural. The timing model checks whether a salary credit or strong GST period has occurred in the last 72 hours before computing the final send date.
→ Salary credit: send within 72 hours · Strong GST quarter: send within 7 days of filing dateIf the borrower used the EMI calculator or checked their outstanding balance in the last 7 days, send immediately
A borrower who recently engaged with the institution's digital tools is in an active consideration period — their mental context is already on their loan relationship. This is the highest-priority timing trigger. When this signal fires, the Pre-Approval AI overrides the standard payment-cycle timing and sends the offer within 24 hours, regardless of where the borrower is in their EMI cycle. The cost of missing a high-intent window is greater than the mild sub-optimality of sending outside the standard payment-cycle window.
→ EMI calculator used: send within 24 hours · Balance checked 3+ times in 7 days: send within 48 hoursTwo suppress windows prevent sending at the wrong moment — EMI distress and message density
The EMI distress window: if the borrower's last EMI was not paid on time (bounce, late credit, or DPD created), the Pre-Approval AI holds the offer for 30 days from the incident — even if the EMI has since been recovered. The borrower in a post-bounce period is not in the right state to receive an expansion offer. The message density window: if the borrower received any other institution communication (statement, marketing, compliance notice) in the last 14 days, the offer is held until 14 days have elapsed — overlapping communications reduce the response rate on all of them.
→ Suppress: 30 days post any EMI distress · 14 days after any other institution communicationTuesday to Thursday, 10 AM to 1 PM for salaried · Tuesday to Thursday, 9 AM to 11 AM for MSME
Within the identified send window, the Pre-Approval AI schedules delivery for the highest-response day-time combination for each borrower type. Salaried borrowers respond best to WhatsApp messages received during mid-morning on a mid-week day — they are at their desk but not yet in the afternoon productivity dip. MSME proprietors respond better in the morning (before the business day fully consumes their attention). Monday and Friday are suppressed for all segments — Monday feels like an interruption, Friday produces delayed response rates because the weekend intervenes between receipt and follow-through.
→ Salaried: Tue–Thu 10–13:00 · MSME: Tue–Thu 09–11:00 · Suppress: Mon and FriThe timing dashboard: when each borrower's offer will be sent
6,841 individual send dates — not one campaign date
A traditional pre-approval campaign sends all 6,841 offers on the same day — November 1 — because the campaign is designed around the institution's schedule, not the borrowers'. The Pre-Approval Offer AI distributes the same 6,841 offers across 60 days, each sent at the specific moment that the borrower's individual model indicates is optimal. Ananya's offer goes on November 11. Ramesh's on November 26. Priya's on December 9 (after her bounce suppress window clears). The total disbursement from these 6,841 offers is not determined by the quality of the creative or the size of the offer — it is determined by whether each offer arrived at the moment the borrower was ready to act on it. The timing model is the difference between a pre-approval campaign and a pre-approval programme.