AI Deployment Strategy · West Africa
The conditions are already mapped. The question is whether your product fits them.
Whether your voice model reaches the right language tier. Whether your payment integration covers the relevant rails. Whether your data pipeline meets the registration requirement before you go live. Sixteen markets. Six dimensions each. I’ve mapped all of it. The consulting work is applying that map to your specific problem.
Sixteen frameworks live — TERANGA · NAIJA · AKWAABA · GEBA · and twelve more
Why this is different
There is no shortage of consultants who will advise on AI in Africa. There is a shortage of consultants who have already done the market mapping.
Not West Africa in general. Each market specifically.
TERANGA for Senegal. NAIJA for Nigeria. AKWABA for Côte d'Ivoire. Each framework maps one market against six dimensions. Not a regional playbook — sixteen country-specific diagnostics.
Not advisory on viability. Evidence on conditions.
The Mooré ASR model has a 4.24% WER — best-performing indigenous NLP in the framework family. GhIPSS interoperability is live. The PI-SPI advanced tier covers fifteen WAEMU institutions. These are conditions, not opinions.
Not re-learning your market at your expense.
The diagnostic frameworks exist. The engagement applies them to your product against your target market — it does not conduct the underlying research from scratch and bill you for the fieldwork.
Not the Big 4 Africa practice.
No associates who have read the same Brookings papers. No generic emerging-markets playbook. The knowledge comes from systematic mapping, market by market, dimension by dimension.
How to engage
Four engagement types. The right one depends on where you are in the build.
Adaptation Audit
Full six-dimension diagnostic against one market framework. Produces a findings matrix and a strategic deployment brief.
For AI companies evaluating whether their product can survive a specific market before they build for it — or before they discover in production that their Portuguese NLP pipeline reaches 20% of their intended users.
Build Review
Technical review of an in-progress deployment against the relevant market framework.
The wrong payment rail. The missing voice layer. The unregistered data pipeline. The interface that excludes 60% of the target region. Identified before they become production incidents.
Advisory
Ongoing engagement for teams building in West Africa over a sustained period. Direct input on architecture decisions, access to the frameworks as they develop.
A standing relationship with someone who has mapped these conditions systematically — not someone re-learning them market by market as your product expands.
Field Engagement
On-the-ground work in West Africa. User research with actual target populations, regulatory navigation, permit guidance, and in-market validation.
For teams who need more than a remote diagnostic. Moctar is in the region — he can put your product in front of real users in Dakar, Lagos, or Abidjan, sit with a regulator, and walk a permit process through to completion.
Sixteen markets covered
Every ECOWAS member state plus Mauritania. Each with its own framework, its own NLP tier, its own payment architecture, its own compliance regime.
Start with a conversation
Tell me which market, which product, which stage of the build. I’ll tell you which framework applies and what it will find.