Driving Financial Transparency with AI in the Public Sector

Author
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2025

Overview

A government agency under Colombia’s Ministry of Commerce, responsible for regulating and overseeing commercial entities, needed a more effective way to manage the growing volume of financial data it receives each year. With limited internal processing capacity, the agency aimed to transform raw financial submissions into actionable insights, enabling faster decision-making and more proactive support for companies across different stages of growth.

Challenge

  • Existing processes made it difficult to query and extract value from large volumes of financial and accounting data.
  • Users lacked access to tools for real-time comparisons or sector-based analysis.
  • The insolvency acceptance process for companies took more than four months, causing financial delays and inefficiencies.

Solution

Blend implemented Houndoc, its enterprise analytics solution, to give the agency direct access to financial and accounting data from supervised companies.

  • More than 6 TB of data was processed using AWS infrastructure to build SIIS (Integrated Corporate Information System), a robust platform designed to enhance data visibility and usability.
  • Leveraging AI and machine learning, the platform transformed a traditional data lookup process into an enriched user experience, featuring:
    • Interactive filters
    • Sector and peer comparison tools
    • Personalized reporting and real-time dashboards

The solution was designed with user needs in mind, providing intuitive access and empowering staff with insights that drive smarter, faster decisions.

Impact

The solution significantly improved operational efficiency, reduced time-to-action, and gave the agency the tools to better support regulated companies at scale. With real-time insights and enriched data access, the platform not only transformed how financial data is consulted, but also helped drive faster decisions and greater transparency across the organization.

Key Data Points

4-month
insolvency process reduced to 1 week
400%+
increase in accepted insolvency cases
$3.97B
in assets analyzed with AI and ML
65K
companies monitored and 6TB of data processed annually