A tailored course, built for your situation
Mastering ISO 27001 for Senior CX Advisory Practitioners
A step-by-step implementation guide for AI-driven customer experience teams in global advisory firms
Who this is for
Senior CX Advisory professional in a global consulting firm, focused on Gen AI integration within customer experience frameworks, needing standards-aligned, client-ready implementation patterns that scale across regions and teams.
Who this is not for
Entry-level compliance staff, non-client-facing auditors, or practitioners focused solely on internal IT security without customer journey integration.
What you walk away with
- Apply ISO 27001 controls directly to Gen AI customer touchpoints with confidence
- Produce client-facing security narratives that align with global advisory expectations
- Increase cross-functional buy-in from delivery, legal, and technical teams on security-by-design
- Deliver reusable implementation templates that scale across multiple client sectors
- Strengthen advisory authority by linking information security to CX outcomes
The 12 modules (with all 144 chapters)
- Defining ISO 27001 relevance in modern CX advisory engagements
- Mapping information security to customer journey trust points
- Understanding the relationship between AI governance and ISMS
- Common misconceptions about ISO 27001 in consulting environments
- How CX teams can lead security integration proactively
- Client expectations around compliance transparency today
- Balancing agility with formal control frameworks in AI projects
- Integrating ISO 27001 into proposal scoping conversations
- Recognizing early signals of security misalignment in CX flows
- Building credibility through standards-based design thinking
- The role of advisory in shaping client security posture
- First steps to align existing CX roadmaps with ISO 27001
- Identifying customer data flows in AI-powered CX systems
- Determining which components fall under ISMS scope
- Handling multi-cloud and SaaS vendor boundaries
- Documenting scope decisions for internal and client audits
- Involving product and engineering teams in scoping
- Using journey maps to visualize security boundaries
- Avoiding over-scoping in advisory-led transformation projects
- Client communication strategies for scope limitations
- Aligning scope with engagement size and risk profile
- Integrating privacy and security scope definitions
- Tracking scope changes across iterative delivery phases
- Preparing scope documentation for leadership review
- Tailoring ISO 27001 risk assessment for AI use cases
- Identifying threats unique to generative AI customer interfaces
- Assessing reputational risk from AI-generated content
- Evaluating third-party model provider dependencies
- Scoring likelihood and impact in customer-facing contexts
- Documenting risk treatment plans for client review
- Linking risk outcomes to customer trust metrics
- Using client feedback loops to inform risk updates
- Handling dynamic risk profiles in continuous AI learning
- Incorporating ethical considerations into risk logs
- Presenting risk findings to non-technical stakeholders
- Maintaining risk registers across multi-client engagements
- Selecting appropriate access controls for AI chat interfaces
- Applying encryption standards to customer interaction logs
- Ensuring auditability of AI decision traces
- Implementing secure development practices for prompt engineering
- Managing third-party AI vendor access securely
- Configuring logging for explainability and compliance
- Enforcing data minimization in customer profiling systems
- Securing model update and retraining pipelines
- Validating control effectiveness in real-world scenarios
- Balancing security with personalization performance
- Adapting controls for low-latency customer interactions
- Documenting control rationale for external review
- Understanding the purpose of the Statement of Applicability
- Populating SoA with CX-relevant control selections
- Justifying exclusions for non-applicable controls
- Linking control choices to client risk tolerance
- Using SoA as a strategic communication document
- Incorporating client feedback into SoA revisions
- Aligning SoA with broader enterprise architecture
- Standardizing language for multi-client consistency
- Versioning SoA across project lifecycles
- Preparing SoA for external auditor scrutiny
- Cross-referencing SoA with internal policy frameworks
- Integrating SoA into advisory delivery templates
- Structuring policies for clarity and adoption
- Translating controls into operational guidance
- Incorporating AI-specific policy considerations
- Aligning policy language with client maturity
- Creating tiered policy versions for different clients
- Ensuring policy enforceability in distributed teams
- Linking policies to training and awareness programs
- Updating policies in response to AI evolution
- Integrating client feedback into policy design
- Documenting policy exceptions and approvals
- Using policy frameworks to strengthen advisory value
- Maintaining policy version control across engagements
- Planning audits around client delivery timelines
- Developing checklists for AI-specific control testing
- Gathering evidence from cross-functional teams
- Interviewing technical staff about control implementation
- Assessing control effectiveness in production systems
- Reporting findings to leadership and client teams
- Prioritizing remediation based on client impact
- Tracking corrective actions to closure
- Using audit insights to improve future proposals
- Maintaining independence while embedded in delivery
- Avoiding common pitfalls in advisory-led audits
- Documenting audit activities for external review
- Assessing vendor compliance posture during procurement
- Negotiating security requirements in contracts
- Reviewing vendor SOC 2 and ISO 27001 reports effectively
- Conducting due diligence on AI model training data
- Monitoring ongoing vendor compliance performance
- Handling incidents involving third-party AI systems
- Enforcing right-to-audit clauses when needed
- Managing sub-vendor risk in AI supply chains
- Creating vendor risk classifications for CX use cases
- Integrating vendor oversight into client reporting
- Using vendor compliance to strengthen deal proposals
- Documenting vendor management activities for audits
- Defining key security metrics for customer AI systems
- Setting up automated alerting for policy violations
- Monitoring for data leakage in AI interactions
- Tracking model drift and performance degradation
- Using logging to support forensic investigations
- Establishing review cycles for control effectiveness
- Integrating monitoring with incident response plans
- Ensuring monitoring tools respect privacy requirements
- Reporting findings to client stakeholders clearly
- Adapting monitoring as AI models evolve
- Scaling monitoring across multiple client engagements
- Documenting monitoring activities for audit readiness
- Understanding auditor expectations in CX contexts
- Organizing documentation for easy access
- Preparing client teams for auditor interviews
- Anticipating common findings in AI implementations
- Responding to auditor questions effectively
- Coordinating evidence collection across teams
- Scheduling pre-audit readiness checks
- Using mock audits to identify gaps
- Communicating audit status to leadership
- Handling non-conformities professionally
- Leveraging audit outcomes for business development
- Post-certification maintenance planning
- Establishing regular management review meetings
- Updating risk assessments with new AI capabilities
- Incorporating lessons from incidents and audits
- Measuring ISMS effectiveness with KPIs
- Engaging leadership in continuous improvement
- Adapting ISMS for new client sectors or regions
- Refreshing policies and controls as needed
- Training new team members on ISMS processes
- Sharing best practices across delivery teams
- Aligning ISMS evolution with client strategy
- Documenting continuous improvement activities
- Preparing for surveillance audits efficiently
- Identifying opportunities to influence adjacent teams
- Translating security controls into business benefits
- Presenting ISO 27001 value to non-security leaders
- Collaborating with legal and privacy functions
- Supporting sales teams with compliance messaging
- Integrating security into client onboarding workflows
- Building internal communities of practice
- Mentoring colleagues on AI-security integration
- Contributing to firm-wide knowledge repositories
- Shaping internal policy through advisory insights
- Positioning CX security as a differentiator
- Measuring expanded influence through engagement data
How this maps to your situation
- Client-facing AI integration
- Cross-regional advisory delivery
- Gen AI compliance in regulated sectors
- Global consulting firm engagement model
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 access.
Time investment: Approximately 90 minutes total, self-paced, designed for completion over a single weekend or focused work session.
How this compares to the alternatives
Unlike generic compliance courses, this program is tailored to CX advisory professionals working with Gen AI, focusing on practical implementation, client communication, and cross-functional influence rather than abstract theory or checklist compliance.
Frequently asked
Within 24 hours your account in the learning environment is provisioned and the tailored implementation playbook is delivered alongside it.