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Professional Training, Qualifications & Personnel Certification Services
Artificial Intelligence (AI) for Internal Audit & Assurance
Develop the skills to use AI to support rather than replace audit judgement. Explore audit use cases, evidence boundaries and data preparation through practical casework. Prepare an AI-supported audit test plan for review and workplace application.
7 specialist capabilitiesPractical training deliveryDefined success criteria
Artificial Intelligence (AI) for Internal Audit & AssuranceTraining designed around competence and workplace application
BUILT AROUND YOUR REQUIREMENT
Artificial Intelligence (AI) for Internal Audit & Assurance with a clear purpose
Each engagement starts with the required outcome, operating context and evidence of success. The result is a focused Artificial Intelligence (AI) for Internal Audit & Assurance scope with clear responsibilities and handover points.
Expert trainers
Practitioners who apply the subject in industry every day.
Any format
Classroom, live virtual or in-house at your site.
Assessment and certificates
Examinations, assessments and certificates managed for you.
7 SPECIALIST CAPABILITIES
What the service can cover
Select the capabilities that match your Artificial Intelligence (AI) for Internal Audit & Assurance requirement, operating context and agreed delivery stage.
Duration
3 days / 21 hours
Programme route
Professional development training
Learning outcome
Use AI to support rather than replace audit judgement.
Learning outcome
Apply course methods to a case involving evidence boundaries and data preparation.
Learning outcome
Prepare an AI-supported audit test plan using a relevant work scenario.
Learning outcome
Explain the evidence and limitations behind decisions on assurance reporting.
Applied output
An AI-supported audit test plan.
PROGRAMME PROFILE
Learning, assessment and application
Review the proposed route, learning content, audience and assessment considerations before confirming delivery.
Key topics and modules
- Audit use cases
- Evidence boundaries
- Data preparation
- Analytical testing
- Assurance reporting
- Case exercise: applying evidence boundaries
- Case exercise: decisions and limits in analytical testing
- Practical workshop: developing the AI-supported audit test plan
Who it is for
- Data analysts
- Digital transformation managers
- Business analysts
- Operations managers
- Technology leads
Relevant industries
Manufacturing, Financial services, Retail, Energy, Professional services
Workplace value
- Provide teams with an AI-supported audit test plan to support consistent decisions and clearer handovers.
- Strengthen review of analytical testing and assurance reporting using the course exercises and documented findings.
- Support performance follow-up through a defined measure: AI-assisted findings verified.
Assessment and entry considerations
Entry and recognition: The proposed duration covers BEMCON learning delivery. It does not establish an external qualification, personnel certification or operating licence.
Duration basis: Proposed BEMCON taught duration; not an official qualification requirement
HOW WE WORK
From skills need to workplace capability
A defined workflow keeps the work aligned with the approved scope and makes progress, decisions and handover easier to manage.
Scope your requirement- 01
Clarify the requirement
Confirm the purpose, operating context, stakeholders and expected outcome for Artificial Intelligence (AI) for Internal Audit & Assurance.
- 02
Agree the delivery plan
Define activities, responsibilities, inputs, dependencies, checks and approval points.
- 03
Deliver and coordinate
Complete the specialist work while keeping progress, risks and decisions visible.
- 04
Review and hand over
Confirm the completed scope, record outcomes and agree practical next actions.
WHAT YOU RECEIVE
Competence evidence and next steps
Confirmed scope
Documented objectives, responsibilities, constraints, assumptions and acceptance points.
Specialist work package
Relevant analysis, coordination and technical work for Artificial Intelligence (AI) for Internal Audit & Assurance.
Clear evidence and records
Findings, decisions, completed checks and limitations recorded for the agreed scope.
Practical next steps
Prioritised actions for implementation, follow-up, improvement or ongoing support.
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