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ROI model

Your book, your assumptions, open arithmetic

Slide the inputs to your numbers. The assumptions are labelled illustrative for a reason: argue with them, set them to what you would believe, and see whether the case still stands. Nothing is gated behind a form.

Default scenarioillustrative

cost to collect ₹120 → ₹66 per account · slide to your numbers below

Default scenario: 1,00,000 accounts at ₹18,000 average, 12 percent cured a month at ₹120 per account; with the illustrative assumptions, 1,800 extra accounts cured and ₹3.24 Cr extra recovery a month.

The model

Slide, then argue

Four facts about your book, three assumptions we label as such, and the arithmetic in the open. The outcome updates as you move anything.

Your book today

1,00,000

Active DPD accounts in a typical month

₹18,000

Across the delinquent book

12%

Accounts cured per month, as a share of the book

₹120

People, telecom and tools, divided by accounts worked

Assumptions · illustrative, argue with them

45% today

Most manual floors reach only part of the book. attpro contacts all of it.

+15%

Illustrative. From full coverage, right-time contact and consistent follow-through. Set it to what you would believe.

60%

Early buckets on voice AI and messaging

Indicative outcome, per month

Additional accounts cured
1,800
Additional recovery
₹3.24 Cr
Cost to collect, per account
66from ₹120
Indicative monthly cost saving
₹54 L

The arithmetic, in the open

extra cured    = book × rate × uplift
extra recovery = extra cured × avg outstanding
new cost       = human share × cost
               + auto share × 25% × cost

Nothing here is a promise. It is your numbers, your assumptions, and visible arithmetic. Bring one cohort to a demo and replace the assumptions with a measurement.

Replace the assumptions with a measurement.

One cohort, run end to end against its own history, settles what a slider never can. That is what a pilot is for.