Agentic workflows in production, with the numbers to show for it.

01 // Challenge

CNBC Africa, A leading television news network sought to modernize its digital and operational backbone. The goal was to unify scattered data sources, leverage AI for intelligent content retrieval, streamline event management, and build a scalable, secure video ecosystem to power both broadcast and online experiences.

02 // Approach

03 // Outcome

Unified real-time financial data feeds across platforms, improving consistency and accuracy

01 // Challenge

A leading tertiary education services provider with operations in Dubai and Ghana sought to modernize its marketing and admissions process. The client worked with multiple partner universities and managed thousands of student inquiries across regions — but their legacy CRM and fragmented digital funnel made it difficult to track, nurture, and convert leads efficiently.

02 // Approach

03 // Outcome

40% reduction in lead wastage through automation and smarter routing

01 // Challenge

An AI start up licensing multi-media content to generative AI companies managing a catalogue of tens of thousands of audio and video assets needed a smarter way to catalog, enrich, and retrieve content at scale. Manual tagging was no longer feasible, and traditional metadata management tools couldn't keep pace with the growing library. Thynker was engaged to design and advise on an AI-driven metadata intelligence system — combining automation, human-in-the-loop workflows, and new standards for multi-modal content understanding.

02 // Approach

03 // Outcome

Automated the cataloguing of tens of thousands of audio files, saving an estimated 20,000+ hours of manual tagging work

01 // Challenge

A leading tertiary education services provider managing multiple university partnerships wanted to improve the quality and effectiveness of student outreach by collections and finance team teams. Every day, hundreds of emails and messages were being sent to students — but there was no consistent way to measure tone, clarity, or conversion effectiveness. Thynker was brought in to apply AI and natural language processing (NLP) to analyze communication quality, identify what worked, and create data-backed frameworks for staff training and process improvement.

02 // Approach

03 // Outcome

Identified key linguistic and stylistic patterns that correlated with 30–40% higher response and conversion rates