AI governance that lets fintechs build with confidence.
Z2O helps fintechs and other regulated organisations govern the AI they build and buy — assessed against NIST AI RMF and ISO/IEC 42001, localised to Nigerian requirements, and delivered as audit-ready evidence reviewed and signed off by Z2O.
NIST AI RMF · ISO/IEC 42001 · CBN + NDPA — one assessment engine, three trusted labels.
Why govern AI
Four audiences already expect answers
Regulation is the loudest reason right now — it isn't the only one.
Regulators are asking
Nigeria's rules for AI in financial services are in force and growing — and they expect governance you can evidence, not describe.
See the regulatory picturePartners and investors are asking
Banks, enterprise partners and investors increasingly require evidence of AI governance in due diligence and partner onboarding. Governance evidence closes deals faster.
Your customers are trusting your AI
Models that score, flag, approve and decline real people need to be accurate, fair and explainable. Governance is how you know they are.
Your board needs the truth
A scored, evidenced view of AI risk and maturity that leadership can act on, instead of guesswork.
The regulatory clock
The clock is already running
The sharpest of those drivers today: Nigeria's rules for AI in financial services are no longer proposals. Two apply today; a third is expected in 2026.
In force
CBN AML rules
Banks, fintechs and payment providers must deploy AI for anti-money-laundering — and have models validated at least annually for accuracy and bias, with independent review and tamper-proof audit trails.
Read the regulatory pictureIn force
NDPA + NDPC
Every fintech handling personal data needs NDPC registration, DPIAs before high-risk processing, and human review of automated decisions about individuals.
Read the regulatory pictureExpected 2026
NITDA AI Bill
Nigeria's first dedicated AI law is expected to class fintech credit-scoring AI as high-risk — impact assessments, registration, and plain-language explanations of automated decisions.
Read the regulatory picturePolicy packs
One assessment engine, three trusted labels
Every engagement runs on the same evidence and scoring. You choose the lens your board, auditors or regulator recognise.
NIST AI RMF Readiness
Gap assessment against the four functions of the US NIST AI Risk Management Framework: GOVERN, MAP, MEASURE and MANAGE.
Compare the frameworksISO/IEC 42001 Readiness
Readiness against the international AI management-system standard. Z2O is the readiness partner that gets you certification-ready — not the certification body.
Compare the frameworksCBN + NDPA Compliance
Local focusThe same evidence, mapped to exactly what the Central Bank of Nigeria and the Nigeria Data Protection Act require.
Compare the frameworksServices
Five services, one governance partner
From a first maturity assessment to continuous oversight, every service ends in consultant-approved outputs.
AI Governance Assessment
Maturity, risks, controls and evidence assessed across Z2O's governance domains — scored, gap-analysed and reported.
AI Governance Review
A structured review of the governance you already have: policies, controls, AI system inventory, oversight and documentation quality.
Governance Implementation Support
Post-assessment remediation — control implementation, ownership and due-date tracking, policies and action plans.
Audit & Compliance Readiness
Governance evidence and documentation prepared for audit, board reporting, investor due diligence or regulatory readiness.
Continuous Governance Oversight
Ongoing improvement after the initial report: actions, progress tracking, evidence updates and periodic review.
Independent model testing for accuracy and bias. Export a spreadsheet of past AI decisions and Z2O tests the model with recognised open-source methods — validated and signed by a Z2O reviewer. It is the annual independent test the CBN now mandates — and independent assurance for any model you build or buy, whether it scores credit, flags transactions or screens customers. Delivered within Assessment and Review engagements.
Who we work with
Z2O works with fintechs of every kind that build or buy AI:
- payments & PSPs
- digital lending & credit scoring
- digital banks & mobile money
- savings, investment & wealth
- remittances & FX
- insurtech
- KYC, identity & fraud prevention
- digital-asset platforms
…and other regulated organisations adopting AI.
Our engagements are proportionate for SMEs and scale-ups — you do not need an in-house governance team to work with Z2O.
The Z2O principle
AI-assisted. Always human-reviewed.
Structured tooling and AI support the work behind every engagement — but a Z2O consultant reviews and approves every client-facing conclusion. Findings, scores, recommendations, reports: nothing reaches you unreviewed, and you act only on consultant-approved outputs.
How it works
From first conversation to approved report
Six steps, each with a clear output. Missing documents are normal — they never count against you.
Initial conversation
We understand your business, how AI is used, and the reason for the review.
Qualification and scoping
We confirm fit, engagement type, systems in scope and available evidence.
Proposal and Statement of Work
Clear scope, pricing and timeline before anything begins.
Assessment and evidence review
Structured assessment, document review, evidence validation and — where in scope — independent model testing.
Z2O review
A Z2O consultant reviews every finding, score and recommendation.
Approved report and improvement plan
You receive only Z2O-approved outputs, then track remediation with our support.
Start with a conversation.
Tell us how your organisation uses AI and what is prompting the review. Getting started is a short qualification form — not an account signup.