// THESIS

African enterprise AI is being built in plain sight — but no one is keeping score.

Insurance penetration sits below 3% across most African markets. Court backlogs run into the years. Cross-border payments still leak basis points at every hop. AI is now being deployed against every one of these constraints — by insurers in Lagos, law firms in Nairobi, fintechs in Cairo, and regulators in Kigali. The signals are real, but they're scattered across local press releases, regulator notices, and conference decks. This radar consolidates them in one place.

// WHO IT'S FOR

• Investors — to size the market and identify operators before they hit your inbox.
• Operators & founders — to see where competitors are placing AI bets and where whitespace remains.
• Policymakers & regulators — to track adoption pace in the sectors you supervise.
• Researchers & journalists — cited, structured, machine-readable adoption data.

// WHAT'S IN IT

Structured signals across five high-stakes sectors — insurance, legal, fintech, policy, and healthtech — each one tagged with company, country, use case, a short summary, a confidence score, and links to the original sources. Every claim is traceable.

// METHODOLOGY

Sector-specific queries run against the Parallel Web Systems Search API. Results are passed through an extraction model that returns only signals with a clear African company, a clear use case, and a confidence score above the threshold. Re-scans update existing signals in place rather than duplicating them.

// AUTHOR

DERRICK OCHAGO

Head of Africa & Ecosystem Growth at Coinbase (Base). 11+ years launching real-time infrastructure in fragmented markets, builder of AI voice agents, co-founder of Gen AI 4 Africa. ochago.com →