Iroko AI — Enterprise Intelligence for Africa

Enterprise AI in Africa has a problem. Operations teams at telecoms like MTN Nigeria are drowning in documents — SLA registers, vendor contracts, NCC compliance reports, network incident logs — with no intelligent layer to surface what matters before it becomes a crisis. Iroko AI solves this with a proactive 5-agent intelligence pipeline built on Azure OpenAI and Microsoft Semantic Kernel. The five agents — Watchdog, Researcher, Analyst, Strategist, and Scribe — work in sequence: Watchdog continuously monitors enterprise documents for anomalies and SLA breaches, Researcher retrieves relevant context from Azure AI Search, Analyst synthesizes findings and scores risk from 1 to 10, Strategist generates recommended actions, and Scribe formats the final output. What makes Iroko AI different is the Live Reasoning Chain — a real-time streaming interface that shows every agent step as it happens. Operators watch five agents think, collaborate, and hand off to each other before delivering a final intelligence report. This is not a chatbot. This is enterprise decision support. The platform includes a Network Operations Centre dashboard with a live Nigeria network map showing real tower site health across Lagos, Abuja, Kano, and Port Harcourt. It connects to enterprise data sources including SharePoint, ServiceNow, Slack, and Microsoft Teams. It surfaces proactive alerts without being asked. It maintains full audit trails for regulatory compliance. Built for African telecoms. Grounded in real MTN Nigeria operational data. Powered by Azure OpenAI GPT-5.4, Azure AI Search, and Microsoft Semantic Kernel. This is what enterprise AI looks like when it is built for the problems that actually exist.