AI governance is the set of structures — policies, controls, documentation, oversight mechanisms, and escalation procedures — that determine whether an AI system continues to behave as intended, remains aligned with the organization's values, and meets accountability expectations.
Zevana applies internationally recognized frameworks — NIST AI RMF, OECD AI Principles, EU AI Act, and the African Union Continental AI Strategy — adapted to the specific legal, regulatory, and institutional contexts of West African and international markets.
Layer 01
STAGE1_AI Governance, Risk & Compliance
Identify, profile, and prioritize risks associated with existing and planned AI systems — covering model risk, data risk, operational risk, and regulatory exposure — with a structured risk register.
Layer 02
STAGE2_AI Governance, Risk & Compliance
Design and implement governance frameworks calibrated to the organization's AI risk profile — covering policies, controls, accountability structures, and oversight mechanisms aligned with international standards.
Layer 03
STAGE3_AI Governance, Risk & Compliance
Prepare the organization for internal or external AI audits — with documentation, model cards, audit trails, and evidence packages that demonstrate compliance with governance requirements.
Enterprise
Energy, Telco & Financial Services
Large organizations in regulated sectors deploying AI at scale — where regulatory scrutiny, audit requirements, and accountability expectations are significant and growing.
SME
Growth-Stage Businesses
Businesses using AI tools in customer-facing or operational contexts without formal governance structures — facing increasing exposure as regulatory environments tighten.
Government
Public Sector Institutions
Government institutions deploying AI in public service delivery or administrative decision-making — where accountability, transparency, and public sector governance standards are non-negotiable.
01
AI Risk Register
A structured inventory of AI-related risks across the organization — profiled by likelihood, severity, and proximity — with a prioritized mitigation roadmap and assigned ownership for each item.
02
AI Governance Framework
A complete governance framework covering policies, controls, accountability structures, escalation procedures, and documentation requirements — calibrated to the organization's risk profile.
03
Model Documentation Package
Structured documentation for each AI system in scope — covering model purpose, training data, performance characteristics, known limitations, and monitoring controls.
04
Regulatory Alignment Report
A gap analysis of the organization's current AI practices against applicable regulatory frameworks — with a prioritized remediation plan and evidence documentation for compliance readiness.
Tell us what AI systems you are running and we will tell you honestly where the governance gaps are.