What is the Influence across more business units course about?
Senior technical leader in a global professional services firm, responsible for high-impact AI infrastructure with growing compliance and cross-domain alignment demands.
Who is the Influence across more business units course for?
Senior technical leader in a global professional services firm, responsible for high-impact AI infrastructure with growing compliance and cross-domain alignment demands.
What do you take away from the Influence across more business units course?
Internal stakeholders proactively request your input on ISO 27001 alignment AI infrastructure projects positioned as compliance-forward and audit-ready by design Increased participation in strategic planning across regions and business lines Ability to rapidly map AI controls to ISO 27001 requirements during client or internal reviews Stronger leverage in cross-functional risk and governance discussions.
How does this map to your situation?
Preparing for first ISO 27001 audit with AI systems included Scaling AI governance across global business units Responding to regulatory or client pressure on AI assurance Positioning internal AI work as a model for external advisory.
What's included with your purchase?
12 modules with 12 chapters each (144 chapters) Downloadable templates and worked examples for every module Hand-built implementation playbook delivered alongside course access 30-day money-back guarantee.
What does the Influence across more business units cover on delivery and format?
Format: Text-based modules and chapters in the Art of Service learning environment, plus downloadable templates and worked examples for every chapter, plus the hand-built implementation playbook delivered alongside course access. Time investment: Approximately 2, 3 hours per week over 12 weeks, self-paced.
How does this compare to the alternatives?
Generic compliance courses lack AI context. Internal the firm resources are fragmented. This course delivers targeted, executable ISO 27001 alignment for AI infrastructure leaders, no boilerplate, no theory, just actionable steps.
What does the Influence across more business units cover on frequently asked?
Within 24 hours your account in the learning environment is provisioned and the tailored implementation playbook is delivered alongside it.
Closely related courses: Influence across more business units, Influence Across More Operational Units.
More answers: what you get with every course, refund policy, all help answers.
A tailored course, built for your situation
Influence across more business units with ISO 27001 mastery
A tailored course to extend your reach as the firm Partner and AI Infrastructure Leader
The situation this course is for
Practitioners deliver stronger outcomes when their expertise is sought across divisions rather than siloed within one domain.
Who this is for
Senior technical leader in a global professional services firm, responsible for high-impact AI infrastructure with growing compliance and cross-domain alignment demands
Who this is not for
Junior auditors, compliance generalists without AI/tech leadership exposure, or practitioners outside regulated AI deployment contexts
What you walk away with
- Internal stakeholders proactively request your input on ISO 27001 alignment
- AI infrastructure projects positioned as compliance-forward and audit-ready by design
- Increased participation in strategic planning across regions and business lines
- Ability to rapidly map AI controls to ISO 27001 requirements during client or internal reviews
- Stronger leverage in cross-functional risk and governance discussions
The 12 modules (with all 144 chapters)
- AI systems and information security overlap
- Why ISO 27001 matters for AI governance
- Aligning AI controls with Clause 5 leadership
- Linking AI risk to Annex A controls
- Early engagement with compliance teams
- Avoiding rework during audits
- Communicating maturity to non-technical leaders
- Building trust with regional risk officers
- Using ISO 27001 to de-risk AI adoption
- Standards as enablers not constraints
- Case for proactive control mapping
- First steps in cross-unit collaboration
- Identifying AI-relevant controls in Annex A
- Documenting AI data handling practices
- Control ownership for AI teams
- Conducting AI-specific risk assessments
- Linking AI incidents to security events
- Access control for AI models and datasets
- Encryption strategies for AI pipelines
- Change management for AI models
- Availability requirements for AI services
- Audit logging for AI decision trails
- Third-party AI vendor controls
- Supply chain security for AI components
- Speaking the language of compliance
- Translating AI risks into control gaps
- Creating joint playbooks with risk teams
- Hosting alignment workshops
- Using control matrices for clarity
- Documenting AI adherence to standards
- Presenting to non-technical reviewers
- Gaining sign-off without friction
- Reducing back-and-forth in reviews
- Aligning on control ownership
- Handling auditor questions
- Preparing evidence packages
- Replicating AI compliance frameworks
- Regional adaptation of control mappings
- Centralised vs local ownership
- Harmonising AI risk taxonomies
- Template-based SoA development
- Leveraging group-wide certifications
- Dealing with local regulatory overlap
- Standardising AI audit responses
- Training regional champions
- Tracking compliance across units
- Benchmarking AI maturity
- Scaling assurance efficiently
- Understanding current ISMS scope
- Onboarding AI into risk registers
- Updating asset inventories
- Incorporating model versioning
- AI-specific risk treatment plans
- Review cycles for AI components
- Incident response for AI failures
- Business continuity for AI services
- Internal audit preparation
- Management review inputs
- Continuous improvement loops
- Audit trail integration
- From model drift to business impact
- Linking AI failures to financial loss
- Framing bias as reputational risk
- Data leakage in AI training sets
- Third-party AI vendor exposures
- Regulatory scrutiny on AI systems
- Insurance implications
- Reporting AI risk to leadership
- Using ISO 27001 to quantify exposure
- Benchmarking against peers
- Setting risk appetite for AI
- Escalating critical findings
- SoA for AI workloads
- Statement of Applicability templates
- Control implementation evidence
- AI-specific risk assessment reports
- Document retention for AI models
- Version control for AI systems
- Access logs and monitoring
- Vendor due diligence packs
- Model validation documentation
- Ethical review records
- Data lineage for training sets
- Preparing for surprise audits
- ISO 27001 as the compliance anchor
- Mapping to NIST CSF controls
- SOC 2 overlap with AI governance
- NIS2 implications for AI systems
- GDPR and AI data processing
- Sector-specific standards
- Prioritising control investments
- Avoiding duplication
- Leveraging one audit for many
- Cross-standard control libraries
- Future-proofing for AI Acts
- Harmonising compliance efforts
- Identifying AI touchpoints in operations
- Communicating value to finance
- HR implications of AI tools
- Procurement and AI vendors
- Marketing claims and AI accuracy
- Legal exposure from AI decisions
- Cross-selling AI assurance
- Building internal alliances
- Co-developing policies
- Joint risk assessments
- Shared ownership models
- Celebrating wins together
- Capturing tribal knowledge
- Standardising AI risk assessments
- Template-driven control mapping
- Playbooks for new AI projects
- Onboarding new team members
- Client engagement accelerators
- Reusing audit responses
- Versioning governance assets
- Sharing across the firm practices
- Scaling across regions
- Updating playbooks efficiently
- Ensuring consistency
- Packaging AI compliance insights
- Advising clients on AI readiness
- Positioning the firm as thought leader
- Leveraging ISO 27001 in proposals
- Client workshops on AI risks
- Benchmarking client maturity
- Identifying upsell opportunities
- Reducing client audit friction
- Demonstrating real-world experience
- Building trust through transparency
- Showcasing internal standards
- Co-developing compliance with clients
- Ongoing control monitoring
- Annual review improvements
- Responding to control drift
- Audit feedback incorporation
- Expanding scope to new AI systems
- Mentoring junior leaders
- Sharing lessons across the firm
- Contributing to firm-wide standards
- Speaking at internal forums
- Publishing internal white papers
- Growing your internal network
- Becoming the reference point
How this maps to your situation
- Preparing for first ISO 27001 audit with AI systems included
- Scaling AI governance across global business units
- Responding to regulatory or client pressure on AI assurance
- Positioning internal AI work as a model for external advisory
Before vs. after
What's included with your purchase
- 12 modules with 12 chapters each (144 chapters)
- Downloadable templates and worked examples for every module
- Hand-built implementation playbook delivered alongside course access
- 30-day money-back guarantee
Delivery and format
- Course and learning environment access provisioned within 24 hours of purchase
- Hand-built implementation playbook delivered alongside course access
Format: Text-based modules and chapters in the Art of Service learning environment, plus downloadable templates and worked examples for every chapter, plus the hand-built implementation playbook delivered alongside course access.
Time investment: Approximately 2, 3 hours per week over 12 weeks, self-paced.
How this compares to the alternatives
Generic compliance courses lack AI context. Internal the firm resources are fragmented. This course delivers targeted, executable ISO 27001 alignment for AI infrastructure leaders, no boilerplate, no theory, just actionable steps.
Frequently asked
Within 24 hours your account in the learning environment is provisioned and the tailored implementation playbook is delivered alongside it.