GenderLens-X
Data. Insight. Inclusion. Impact.
AIR × CBN Design Sprint — Sept 2026
GenderLens-X enables regulators, financial institutions, and development partners to discover underserved female segments, simulate policy interventions, forecast trajectories, and measure real-world impact — using AI that reasons about the data the way an analyst would.
Every state, colour-coded by severity. Click any state to generate an AI market-insight brief — who's underserved, why, and what a bank or fintech could realistically build to close the gap.
| State | Zone | Male Accounts | Female Accounts | Gap |
|---|
Beyond geography, GenderLens-X segments by economic activity — women farmers, traders, MSME owners, cooperative members — the level regulators and institutions actually need to design real products.
Describe a policy or product lever. GenderLens-X projects the likely mechanism, direction of effect, an implementation risk to watch, and a concrete KPI to verify real-world impact.
A directional, reasoned forecast comparing the status-quo trajectory against a targeted intervention scenario — the question every regulator ultimately needs answered.
One click generates a regulator-facing summary — headline finding, zone prioritisation, and the next measurement CBN/NFIU should prioritise collecting.
Financial inclusion depends on a stack of digital public infrastructure. GenderLens-X traces the gender gap back to its root rail — not just where it's visible.
The same AI engine, exposing different capabilities depending on who's asking.
Every regulator's first question: what happens to our data, and what if it's incomplete? Here's the intended posture.
Institutions submit gender-disaggregated account/transaction extracts via a secure, access-controlled upload channel or API — never raw customer-identifiable records, only aggregated fields required for analysis.
Built on AGXII's existing NDPC-registered infrastructure (NDPC/DCP/10797). Data-sharing agreements define retention, access scope, and deletion terms before any real data is ingested — governance precedes analysis, not the reverse.
Where gender fields are missing or inconsistent, GenderLens-X flags the affected records explicitly rather than silently imputing values — surfacing data-quality gaps to the institution as a finding in itself.
A recommendation without a tracking mechanism is just an opinion. GenderLens-X links every intervention to a specific KPI, a re-measurement cadence, and an accountability owner.
Every engine on this page — insight, discovery, policy simulation, forecasting, DPI analysis, reporting — is built and production-ready. The only missing input is real gender-disaggregated data from your institution. Data-sharing agreements can be scoped confidentially, with privacy and NDPC compliance built in from day one.
GenderLens-X shares its underlying AI-fusion architecture with AGXII's live production platforms — already trusted by Nigerian banks, financial institutions, and 16+ defence and security agencies.
Sovereign payment infrastructure pursuing a CBN PSP licence — positioned as Africa's AI-powered financial trust layer.
Live anti-money laundering and compliance platform with real HiTech/Mono API integrations, already in institutional use.
Identity verification and KYC infrastructure — NIN, BVN, and document verification for financial-sector onboarding.
AI-powered network and financial-flow mapping — the same fusion engine adapted here for gender-disaggregated data.