QEN AI was founded to solve a core problem: organizations fail at AI because of poor implementation, not bad technology. We combine deep technical expertise with operational consulting to guide you through every stage—from readiness to system building to adoption—ensuring AI aligns with your reality and your team actually uses it.
We help organizations adopt AI correctly.
QEN AI is an AI transformation consultancy focused on practical, ethical, and sustainable adoption of intelligent systems for African organizations and beyond.
Our Story
Built on the belief that AI should work for people.
Team
Martin Maina
Co-Founder & Head of Solution Architecture
Connect on LinkedInMartin is a strategic AI leader with a passion for building intelligent systems that solve real business problems. As the head of solution architecture at QENAI, he focuses on designing practical, high-impact solutions that streamline operations, improve decision-making, and unlock new efficiencies for organizations. Known for his ability to bridge the gap between innovation and execution, Martin turns complex ideas into clear, usable solutions.
Glory Munoru
Co-Founder & Chief Strategy Officer
Connect on LinkedInGlory brings a rare blend of operational expertise, policy insight, and a track record in tech-driven social impact. She specializes in AI strategy and change management, bridging the gap between technical possibility and organizational reality. With years of experience in program management, communications, and cross-border operations across East Africa, she turns complex challenges into actionable, high-impact strategies.
Our Approach
A problem-first approach grounded in operational reality. We begin by developing a deep understanding of organizational context, workflows, data, and priorities, then design and deploy AI systems aligned to those realities.
1
AI Readiness and Workflow Audits
Assessing processes, data flows, and operational constraints to establish a clear foundation for automation.
2
Problem Discovery and Prioritization
Identifying and ranking opportunities where intelligent automation can deliver the highest operational and financial impact.
3
Systems Design
Building autonomous and semi-autonomous workflows tailored to how organizations operate.
4
Implementation & Integration
Deploying AI systems that integrate cleanly with existing tools, infrastructure, and processes.
5
Adoption & Enablement
Equipping teams with the understanding and support needed to confidently use and sustain AI-enabled systems.