Accelerating Bank Statement Analysis with Pearlbot.ai

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Category

HR Software Platform

Location

India

Engagement

Since 2023

Services

Full Stack App Development

01

Overview

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Precisa aims to build a financial persona of an entity by analyzing its financial transactions—sourced from self-submitted electronic statements and consent-based access to public data. The company applies assessment frameworks such as gating and underwriting rules to help organizations serve their end customers more efficiently, intelligently, and quickly.

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02

Business Challenge

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Precisa Financial Services, a mid-sized lending institution, faced significant challenges with manual bank statement analysis. Loan officers typically spent 4–6 hours per application manually reviewing statements to identify income patterns, flag inconsistencies, and calculate financial ratios.

This manual process led to:

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High Processing Time

An average of 5 business days per loan application

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Elevated Error Rates

Approximately 12% of applications required rework

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Customer Dissatisfaction

Increasing complaints due to delayed turnaround times

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Scalability Constraints

Inability to efficiently manage peak season application volumes

03

The Pearlbot.ai Solution

To address these challenges, Precisa deployed Pearlbot.ai, an AI-driven chatbot tailored for financial document analysis.

The solution offered:

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Natural Language Processing (NLP)

to intelligently extract key financial data from bank statements

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Pattern Recognition Algorithms

to detect regular income sources and spending behaviors

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Anomaly Detection

to flag inconsistencies and potential risks

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Interactive Q&A Interface

enabling loan officers to query applicant financial data conversationally

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Pearlbot.ai was seamlessly integrated into Precisa’s existing loan management system, ensuring minimal disruption to operations.

04

Results

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Within just three months of implementation, Precisa achieved outstanding results:

  • 85% reduction in processing time (from 4–6 hours to 30–45 minutes per application)
  • Error rates dropped from 12% to under 3%
  • Customer satisfaction scores improved by 42%
  • Loan processing capacity increased by 70% without additional staffing
  • Return on Investment (ROI) realized within 5 months

 

05

Key Success Factors

Pearlbot.ai’s impact was driven by its ability to:

  • Deliver conversational, context-aware responses to complex financial queries
  • Standardize reporting, while intelligently highlighting cases needing human judgment
  • Continuously improve accuracy through user feedback and machine learning
  • Integrate seamlessly with existing operational systems, ensuring smooth adoption
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06

Conclusion

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This case highlights how a specialized AI chatbot like Pearlbot.ai can revolutionize traditionally manual, resource-heavy financial workflows. By enhancing efficiency, reducing errors, and improving customer satisfaction, AI-enabled automation unlocked substantial business value for Precisa Financial Services.

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