Case Studies

Automating Backoffice Processes with AI

Kunai helps a leading neobank implement advanced AI process automation to transform manual financial operations into efficient, accurate workflows.

The Client 

A leading neobank

Their Goal

Enhance operational efficiency and reduce errors in financial processes by eliminating manual handling of a variety of automatable back office tasks, with a focus on purchase order reconciliation. 

This partnership showcased Kunai's expertise in applying AI technology to complex financial tasks, resulting in an 80% time savings and setting a new standard in the fintech industry for efficiency, accuracy, and transparency."

The Challenge

Create an AI platform that could automate intricate financial processes with high accuracy and complete auditability to mitigate risks associated with AI errors, particularly those stemming from LLM hallucinations that can negatively affect compliance or customer satisfaction. 

Kunai Approach

Kunai's embedded approach resulted in a deep understanding of the client's unique processes, enabling the development of tailored automation solutions. This bespoke approach ensured that the AI platform effectively met the neobank's specific needs.

Highlights: 

  • Process Observation, Audit & Documentation 
  • Custom Development of LLM-agnostic AI Platform for Document Analysis and Financial Workflows
  • Auditable AI Implementation 
  • Purchase Order Reconciliation Automation with Document Parsing and Invoice and Receipt Matching
  • Engineering of Exception-handling Protocols 
  • Implementation of Error Rate Tracking and Analysis and Continuous Learning
  • Integration of AI Platform with Existing Financial Systems 
  • Knowledge Transfer, Documentation & Training
  • Scaling, Integration & Compliance Support

Results

By partnering with Kunai, this global neobank enhanced their operational efficiency through AI-driven automation. The AI platform designed and built by Kunai delivered substantial improvements:

  • Reduced purchase order reconciliation time by 80%, from days to hours
  • Achieved a 99.5% accuracy rate in automated processes
  • Freed up significant staff hours annually for higher-value tasks
  • Established a fully auditable trail for all AI-driven decisions
  • Reduced operational costs associated with manual processing

The AI platform's step-by-step auditing capability proved essential in refining the process and meeting regulatory requirements. By meticulously tracking and analyzing each AI decision, including those made by LLMs, the system continuously improved over time, significantly reducing the error rate.

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