Financial Services|Product Engineering|Increase Efficiency

KOHOInternal AI platform

Privacy rules bottlenecked AI scaling. A secure internal platform now cuts AML investigation time by days and security resolution by 50%.

Jan 24, 2026|12 days ago

Key results

Resolution Time Reduction
50%
Faster Validation
3x

The company

Digital banking platform for spending, saving, and credit building in Canada.

IndustryFinancial Services
LocationToronto, ON, Canada
Employees251-1K
Founded2014

Result highlights

  • 50% reduction in security resolution time
  • 3x faster AML report validation

The story

A leading Canadian fintech serving over 2 million users with spending, savings, and credit-building solutions built entirely on cloud infrastructure.

Strict financial data privacy standards made it difficult to scale generative AI across operations without compromising compliance. Isolated tools lacked the centralized governance needed for sensitive workflows like anti-money laundering investigations and security event resolution.

The organization developed Kortex AI, a centralized internal platform that provides secure access to foundation models via Amazon Bedrock while enforcing strict governance controls like model approval lists. Amazon Aurora serves as a vector database to power retrieval-augmented generation (RAG) capabilities for context-heavy tasks like lease validation and regulatory reporting. The solution integrates directly into employee workflows through a web interface for general analysis and IDE plugins for developer coding assistance.

Scope & timeline

  • Dark mode feature built in 2 days
  • 120-140% higher pull request throughput
  • 66% increase in deployment frequency

Quotes

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