Rule-based automated appraisal
Converts the loan-appraisal department's expert rules into an automated rule engine that evaluates every application consistently.
// loading…
Accreditations
Case Study · European bank
A rule-based automated loan-appraisal platform for a European financial-services major specializing in corporate, personal and home loans — enabling it to acquire more customers without increasing operational spend or skewing risk tolerances. Applicants enter their details for automatic processing; a rule engine (using rules defined by the loan-appraisal department) checks every application and provides input on the applicant's financial position and loan eligibility. The result: an 80% reduction in cycle time, 99.9% right first time, and an 80% reduction in mundane back-office tasks.
Industry
Finance
Region
EU
Finance / Credit Risk Assessment / Loan Appraisal / Automation
The bank wanted to improve business agility — process more loan applications and acquire more customers — without increasing operations spend or skewing its risk tolerances. Its traditional process relied on manual loan appraisal, which added processing time, errors and back-office workload and was hard to scale. Xpertnest provided a platform where the applicant enters the required details for automatic, rule-based processing.
Business requirements & challenges
The bank needed to scale customer acquisition and loan processing without adding operational cost or taking on more risk.
Major challenges
Solution
A platform where applicants enter their details for automatic processing, and a rule engine applies the loan-appraisal department's rules to every application.
Stack
How it works
What's new
Converts the loan-appraisal department's expert rules into an automated rule engine that evaluates every application consistently.
Applicants enter their own details for automatic processing, removing manual data collection by the back office.
Automatically assesses the applicant's financial position and loan eligibility as appraisal input.
More applications and customers handled without increasing operational spend or skewing risk tolerances.
Automating the checks removes manual processes and the errors they introduce — 99.9% right first time.
Repetitive checks are automated, cutting mundane back-office tasks by 80% and freeing staff for focused work.
Business benefits
80%
reduction in cycle time
99.9%
right first time
80%
reduction in mundane back-office tasks
At a glance
| Client | European bank (financial-services major) |
|---|---|
| Loan Types | Corporate, personal, home |
| Objective | Business agility without added spend or risk |
| Solution | Rule-based automated loan appraisal |
| Intake | Applicant self-service — enter details |
| Rules | Defined by the loan-appraisal department |
| Assessment | Financial position + loan eligibility |
| Cycle Time | 80% reduction |
| Accuracy | 99.9% right first time |
| Back Office | 80% reduction in mundane tasks |
| Risk | Risk tolerances preserved |
Related
Oil & Gas
An OCR and NLP document-intelligence solution for the Oil & Gas domain — digitising legal and contract documents, extracting relevant information and entities, discovering relationships between documents, and recognising ID documents. It achieved 90% straight-through processing, a 4% false-positive rate and an 80% headcount reduction.
Major Oil & Gas Operator
90%
straight-through processing
Finance & Legal
An NLP and AI-powered automated contract-review solution for lease review and due diligence. Using web scraping, image processing and NLP, it identifies legal-expert-defined parameters, extracts key details (terms, party details, compensation, liability) and generates a predefined summary file per case — achieving 94% data accuracy, 5% human intervention and 70% cost saving.
European Financial Services Firm
EU
94%
data extraction accuracy
Finance
A web-based financial credit appraisal solution for a Swiss finance company — letting customers enter their financial details and get immediate lead verification, financial-stability assessment, minimum-criteria checks and business-prospect evaluation. It builds a complete credit profile, lets customers self-verify eligibility and maximum available funding, and automatically calculates and benchmarks financial ratios — reducing appraisal time, team workload and financial risk.
Swiss Finance Company
EU