Africa Practice: Automating Insight Discovery  

Industry: Digital & Professional Services
Solution: NLP-based Recommendation Engine
Impact: 95% accuracy in content relevance, freeing 85% analyst time for higher-value work

Overview
Africa Practice is a strategic advisory firm that operates at the intersection of government, business, and development. To support their analysts in surfacing timely, relevant insights for client reporting, they partnered with Ishango to explore automation through AI.

The Challenge
Analysts were spending significant time manually sourcing relevant articles for briefs and reports—a task that was repetitive, time-consuming, and difficult to scale. Africa Practice wanted to streamline this process without compromising on quality.

The Ishango Approach
Our team developed a news article recommendation engine using large language models (LLMs) and Python, deployed on the Google Cloud Platform. The system automatically pulled and filtered articles daily, ranking them by relevance to analyst needs.

The Result
The model achieved 95% accuracy in article selection, significantly improving the speed and relevance of research workflows. Reduced up to 85% of time spent on manual content sourcing enabling Analysts to focus more on insights and advisory