Sentinel

A credit decisioning platform automates loan underwriting by combining a decision engine, a business rules engine (BRE), decision tables, scorecards, and data integration layers. Rule-based decisioning applies deterministic, auditable logic (e.g., FOIR limits, eligibility checks), while ML

Rule-based decisioning uses deterministic if-then logic (decision tables, policy thresholds) that produces identical outputs for identical inputs and is easy to audit. ML-based decisioning uses statistical models trained on historical repayment data to score risk probabilistically and adap

A credit decisioning platform is software that automates the evaluation of a borrower's creditworthiness by combining rule-based logic, ML-based scoring, and data integrations to produce an approve/reject/refer outcome. It differs from a Loan Origination System (LOS), which manages the end

Modern lending systems are evolving from static underwriting workflows into continuously adaptive decision infrastructure — what a BRE is, how it fits the modern credit stack, and what separates AI-native decisioning from AI-washing.

Sentinel AI turns IIFL finance into a digital lending powerhouse.

Smarter co-applicant underwriting and guarantor verification — identity, compliance, credit, and income signals in a single decisioning engine for HFCs.

13 reasons why our Business Rules Engine Sentinel sits at the crux of a sustainable, resilient, and scalable digital lending business

As the tide turns for housing finance companies, automation technology takes centre stage

Why Small Finance Banks need an agile business rules engine to sustain their distinctive business model

A competitive edge for lenders: The role of an advanced rules engine in ONDC

As RBI turns off the money tap, banks go mopping up deposits

A guide to Canary and Champion/Challenger strategies for credit decision automation