RAI Academy is a practical Responsible AI and AI Governance training business for professionals who want to move from theory into credible, employable execution.

It teaches people how to perform the actual work expected in AI governance roles, not merely explain frameworks or pass certifications.

Many professionals know terms such as the EU AI Act, NIST AI RMF, model risk, fairness, and AI monitoring, but they cannot confidently produce the deliverables that meet employers' and clients' expectations. We solve this gap.

Core audience

RAI Academy is designed for:

• Privacy, risk, compliance, legal, product, and cybersecurity professionals moving into AI governance
• Technology and data professionals seeking Responsible AI roles
• Existing AI governance practitioners who need stronger implementation skills
• Managers and consultants who must advise executives, challenge AI projects, and build governance programs

Temi Odesanya is the Responsible AI Leader at Fortune 500 where she leads the global operationalization of AI governance and helps organizations build practical, scalable approaches to responsible innovation. She has an AI Ethics certificate from Stanford and holds Masters in Data science degrees

Temi has been recognized as one of the Top 100 Data and Analytics Leaders in North America by Corinium Intelligence, named to the AI 100 by US MachineCon and Top 100 women to look out for in Canada

Temi is a passionate educator who has shared her expertise in Machine Learning and Responsible AI at various educational postgraduate institutions such as Durham College, Conestoga College, Concordia University, etc. She's collaborated with IAPP on AI governance textbook.

Beyond the classroom, she frequently shares her insights on global platforms, including The Globe and Mail, Evanta (a Gartner Company), AI & Big Data Expo, Corinium Intelligence, Ivey Business School, and Black Professionals in Tech, among others.

Ola Ajayi helps organizations turn responsible AI from policy and regulation into practical operating models, controls, evidence, and executive decisions because "the model said so" isn't an explanation; it's a liability.

She brings 10+ years of experience across Fortune 500 and regulated environments, including healthcare, fintech, e-commerce, SaaS, and consulting. She works at the front line of AI governance and privacy in regulated Fortune 500 healthcare, building programs from the ground up across business domains, systems, and AI use cases.

Ola holds CIPM, AIGP, and ISO/IEC 42001 Lead Implementer credentials and has designed working frameworks for AI risk classification, privacy-by-design, and fairness evidence. She's known for making complex governance clear, practical, and defensible, helping leaders and legal, privacy, compliance, risk, and procurement teams build AI governance that holds up to a board, a regulator, and an audit.

Precious specializes in designing and operationalizing enterprise AI governance frameworks that translate complex global regulations into practical, business-ready controls - making Responsible AI scalable and embedded in how organizations build and deploy technology.

Precious works closely with product, engineering, and risk teams to ensure AI systems are safe, compliant, and aligned with evolving standards such as the EU AI Act, ISO 42001, and global privacy laws.