Our African engagements run differently. Not because the problems are different - they aren't, mostly - but because the operating context demands a different starting point on infrastructure, identity and economic model.
Three differences that matter in practice
First, infrastructure assumptions. Most enterprise AI advice silently assumes always-on connectivity, stable power, and US- or EU-scale data infrastructure. We design African engagements with hybrid power, sometimes-offline modes, and SMS / USSD fallbacks as default features rather than degraded paths.
Second, identity. The customer-identification problem in a pan-African deployment is genuinely harder than in mature markets. Identity systems vary by country; thin-file populations are large; legitimate customers are sometimes flagged by models trained on European behaviour.
Third, economics. Per-seat and per-document pricing models that work in mature markets often do not in frontier-market enterprise. We default to outcome-tied and revenue-share structures more frequently in African engagements than anywhere else we work.