Building the Standard for AI Readiness
We are a team of strategists, engineers, and researchers united by one conviction: organizations deserve a rigorous, transparent way to measure their AI readiness — not guesswork.
Meet the Founder
Aymen holds a Ph.D. in Spatial Planning and Urban Governance from the Universities of Porto and Coimbra, and spent his research career studying how institutions actually adopt technology — e-participation, digital governance, and the gap between policy ambition and operational reality. E-ARI is that research turned into software: he watched organisations invest heavily in AI with no rigorous way to measure whether they were ready for it, and built the deterministic, auditable assessment he believed the market owed them. No vanity metrics, no black box — a score you can defend in front of a board or a regulator.
Key Contributions
Holds a Ph.D. in Spatial Planning and Urban Governance, with extensive research on digital governance and social innovation
Architected the 8-Pillar AI Readiness Framework used across enterprise and government sectors
Published research on e-participation, community development, and technology-enabled governance at international conferences
Championed deterministic scoring methodology — no randomness, no hidden variables, fully auditable
Advocates for AI governance as a first-class pillar, not an afterthought in enterprise transformation
“If you can’t measure your AI readiness with the same rigor you measure financial risk, you’re not ready — you’re hoping. E-ARI exists to replace hope with evidence.”
— Dr. Aymen Boudebouz
Leadership Team
Domain experts across AI strategy, governance, engineering, and methodology — working together to ensure every assessment meets the highest standards.
Sarah Chen
Head of Assessment Methodology
Marcus Okonkwo
Head of AI & Insights
Dr. Elena Vasquez
Head of Governance & Ethics
James Nakamura
Head of Product Engineering
What We Stand For
The principles that shape every feature, every score, and every insight on this platform.
Evidence Over Intuition
Every score is calculated. Every insight is grounded. No gut feelings, no vanity metrics, no inflated results. We believe decisions about AI investment deserve the same rigor as financial audits.
Transparency by Default
Our scoring methodology is fully documented, versioned, and auditable. If AI generates a narrative, it is clearly labeled. We never hide what is calculated versus what is generated.
Enterprise & Government Grade
Built for the organizations where getting AI readiness wrong carries real consequences — regulatory penalties, wasted investment, reputational damage. We hold ourselves to the standards our clients demand.
People-Centered Transformation
Technology readiness means nothing without talent, culture, and process readiness. Our 8-pillar framework ensures the human dimensions of AI adoption are never treated as afterthoughts.
Actionable Over Abstract
Assessments that produce scores without next steps are entertainment. Every E-ARI output includes prioritized, context-aware recommendations that decision-makers can act on immediately.
AI That Serves, Not Overrides
We use AI to enhance human judgment — never to replace it. Our AI insights are supplementary narratives, not decision-makers. The scores are always deterministic; the AI just helps tell the story.