Skip to main content

From Internal audit and IT audit into AI governance

Can someone in internal audit and it audit move into AI governance?

Controls, evidence, sampling, findings and independence transfer directly. The AI lifecycle and what trustworthy evidence looks like at each stage are the new part.

What you already carry

Credit before a single lesson. A work product counts as shown; experience you would describe counts as a claim. Neither is proof yet, and the graded path turns them into proof.

  • AI audit and independent assurance (shown by a work product)

    Audit programs, workpapers and findings are your record.

  • Control design and operating-effectiveness testing (shown by a work product)

    Tests of design and operating effectiveness are the core skill.

  • Evidence collection and audit-ready documentation (shown by a work product)

    Evidence evaluation is the profession.

  • AI risk register and treatment tracking (described, not yet shown)

    Remediation tracking is familiar from follow-up work.

  • Executive and board communication on AI risk (described, not yet shown)

    Audit committee reporting is part of senior audit roles.

Roles this background reaches

  • AI Auditor

    Whether the evidence supports management's conclusions, and what the findings and their severity are.

  • AI Controls Analyst

    Whether a control passed or failed its test, and how the exception is rated.

    31% from this background alone
  • AI Risk Manager

    Which risks need strong controls, which can be accepted, and when a use case should pause.

    17% from this background alone
  • Chief Audit Executive, AI audit edition

    Whether the evidence supports management's claims about AI, and what the audit committee hears.

    22% from this background alone

Where to start

Certified AI Governance Professional (CAIGP). The first module is free with a free account, and every topic is graded by explaining it back.

Other backgrounds: Compliance and regulatory affairs, Privacy and data protection, Cybersecurity and IT, Legal and paralegal work, Nonprofit program and grants oversight, Data analysis, stewardship and business intelligence, Human resources and people operations, Project and program management, Operations, claims, customer service and administration, Policy, legislative and government affairs staff, Recent graduate in law, policy, business or data, Teachers, trainers and instructional designers, Model risk, credit risk and quantitative analysis, Elder services, social work, banking front line and fraud teams.