The CAIM exam tests across five domains: AI foundations and strategy, AI governance and risk management, prompt engineering and Power BI, AI-driven automation, and generative AI use cases. The exam is 3 hours, multiple-choice, and requires a 70% passing score.
The CAIM exam covers five domains: AI foundations, strategy, and opportunity management; AI governance, policy, and risk management; prompt engineering, decision intelligence, and Power BI; foundations of AI-driven automation; and generative AI and automation use cases.
The exam is 3 hours, multiple-choice, and requires a 70% passing score. Abilene Academy's 4-day program includes exam-aligned coaching and requires participants to produce audit-ready governance documentation and working Power BI dashboards and n8n automation workflows during exercises.
The exam is available online in English. It is issued by PECB and the certification remains valid for 3 years with annual maintenance training.
Candidates who prepare for CAIM by reading AI ethics frameworks and policy documents consistently underperform on the operational questions. The exam is heavily weighted toward governance structures, accountability mechanisms, and measurable outcome frameworks — not philosophical AI principles or technical service knowledge.
Well-prepared CAIM candidates have practiced building governance documentation before exam day: AI project charters, accountability matrices, risk registers, and KPI dashboards. The exam scenario questions test whether you can apply governance logic under time pressure — not whether you can recall framework names from memory.
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CAIM focuses on managing AI projects and building governance frameworks from a business and operational perspective — it suits managers who govern AI use across an organization. ISO 42001 Lead Implementer focuses on building and certifying a formal AI Management System aligned with the ISO 42001 standard.
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