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Credit Assurance

SimPrudence

Credit assurance — automated drawing power and enhanced due diligence: one drop of the borrower's file, and the CAM assembles with every figure cited. 

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The Problem it Solves

Credit appraisal today is days of keying: spreading financials by hand, computing drawing power from stock statements, assembling CAMs from scattered sources — slow, inconsistent and hard to audit

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Manual Spreading

Audited statements, CMA data and stock statements keyed by hand into templates — slow and error-prone

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Inconsistent DP operations

Drawing power computed differently across branches, often late, rarely cited to source

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Unauditable CAMs 

Figures without provenance; deviations and pending diligence items tracked on paper

Key Capabilities

01

Any document, one drop

02

Human verification, built in

PDF, Excel, JSON/XML API payloads and scanned hard copies via OCR and vision models — classified against production document-scheme vocabulary, confidence-governed

03

Deterministic calculation engine

A full-screen workbench shows the document beside extracted figures, colour-coded by confidence, with line-level highlighting. A draft cannot compute until a named reviewer signs it

04

Deviations & diligence register

 Ratios, DSCR, working-capital assessment (Turnover/Nayak or MPBF Method II by policy threshold) and automated Drawing Power from the latest verified stock statement with the bank's margins

Policy breaches tabled with measure, value, threshold and policy key, routed to the right delegation level. Pending required items caveat the recommendation in as many words; waivers demand written reasons

05

Cited CAM on the bank's templates

12-block CAM assembled on the bank's own formats — templates are configuration, not code. Every figure carries its citation and formula version

06

Four defined outcomes

Recommend, recommend with deviations, seek information, or decline — a decline overridable by the sanctioning authority with recorded rationale; sanction under maker-checker control

Why SimPrudence

Works beside any LOS: one-call dossier in, decision record and CAM sections back — strengthening the existing origination stack, not replacing it

01

AI never does arithmetic

Extraction proposes; a versioned deterministic engine computes — same inputs always produce the same results

02

Citations are mandatory

Every cell requires a citation to document, page and line — keyed corrections included. Uncited figures are not accepted

03

Credit policy as data

 Methods, thresholds, margins and CAM templates are bank-owned configuration

04

Hash-chained audit

Classification, extraction, corrections, computations, recommendations and decisions — one replayable record

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