A tailored course, built for your situation
Mastering ISO 42001 for BIM Specialists in Engineering and Design
Build AI governance into your BIM practice with confidence and visibility
$199 one-time
24-hour access provisioning
30-day money-back guarantee
Hand-built implementation playbook
12 modules. 12 chapters per module. 144 chapters total.
12 modules, each with 12 chapters (144 chapters total), text-based, plus downloadable templates and a hand-built implementation playbook delivered alongside course access.
AI governance feels abstract, until it breaks your BIM workflow
The situation this course is for
Teams ship models without AI accountability. Audits slow delivery. Stakeholders question decisions made in the dark. You know the gaps, but lack the structure to close them visibly.
Who this is for
Senior BIM Specialist in engineering or design firms, advising on digital delivery and governance, often dual-hatted as trainer or consultant
Who this is not for
Entry-level modelers, software-only AI teams, or executives looking for high-level summaries
What you walk away with
- Map ISO 42001 controls directly to BIM lifecycle stages
- Produce audit-ready documentation for AI-integrated models
- Lead internal reviews with confidence using standardized language
- Position yourself as the go-to for AI governance in built-environment delivery
- Reduce rework by aligning model governance from project kickoff
The 12 modules (with all 144 chapters)
Module 1. Introduction to ISO 42001 in Built-Environment AI
Understand how ISO 42001 applies to BIM and infrastructure AI systems. Learn the scope of AI management systems and their impact on delivery roles.
12 chapters in this module
- What ISO 42001 means for engineers
- Core principles of AI governance
- Relationship to existing BIM standards
- Key definitions and terminology
- AI roles in design workflows
- Governance vs oversight
- Project lifecycle touchpoints
- Documentation expectations
- Risk registers in modeling
- Control objectives by phase
- Audit preparation basics
- Common implementation gaps
Module 2. BIM Workflows and AI System Boundaries
Define where AI operates in your models. Set system boundaries aligned with ISO 42001 for clarity in audits and stakeholder reviews.
12 chapters in this module
- Mapping AI decision points in Revit
- Identifying autonomous features
- Data flows in Navisworks
- Version control implications
- Model sharing risks
- Third-party plugin governance
- Boundary documentation
- Change approval paths
- User access levels
- Model accuracy thresholds
- Validation triggers
- Audit trail design
Module 3. Risk Assessment for AI-Integrated Models
Conduct ISO 42001-aligned risk assessments specific to BIM. Identify biases, safety gaps, and compliance exposure in AI-driven design suggestions.
12 chapters in this module
- Threat modeling for design AI
- Bias in material selection
- Structural safety overrides
- Regulatory alignment checks
- Stakeholder impact tiers
- Likelihood scoring system
- Exposure scoring method
- Risk register format
- Mitigation hierarchy
- Escalation paths
- Review frequency rules
- Documentation standards
Module 4. Control Design for Model Accuracy and Safety
Implement preventative and detective controls in BIM environments to meet ISO 42001 requirements for reliability and oversight.
12 chapters in this module
- Automated validation rules
- Threshold alerts in workflows
- Manual override logging
- Version rollback standards
- Peer review triggers
- Safety gate checklists
- Control ownership
- False positive handling
- Control testing protocol
- Maintenance schedules
- Incident logging
- Control effectiveness review
Module 5. Data Management in AI-Driven BIM
Ensure training and operational data meet ISO 42001 standards for quality, provenance, and lifecycle control within BIM systems.
12 chapters in this module
- Training data sources
- Data labeling standards
- Version tracking
- Access control matrix
- Retention policies
- Data lineage
- Anonymization in reuse
- Model sharing protocols
- Metadata requirements
- Audit trail completeness
- Backup verification
- Disposal process
Module 6. Human Oversight in Automated Design
Define human review points in AI-assisted modeling workflows to satisfy ISO 42001 requirements for accountability and escalation.
12 chapters in this module
- Decision criticality levels
- Required review thresholds
- Override documentation
- Escalation to senior modelers
- Review frequency rules
- Sign-off workflows
- Training for oversight
- Error reporting
- Feedback loops
- Performance tracking
- Compliance monitoring
- Audit preparation
Module 7. Transparency and Documentation Standards
Generate clear, audit-ready documentation for AI use in BIM that aligns with ISO 42001 requirements for transparency and explainability.
12 chapters in this module
- Model decision logs
- Change justification entries
- AI influence tagging
- Stakeholder communication templates
- External reviewer access
- Version comparison reports
- Explanation frameworks
- Clarity thresholds
- Stakeholder summaries
- Internal review packets
- Regulator-facing reports
- Archive standards
Module 8. Performance Monitoring and Review
Set up ongoing monitoring of AI-driven BIM outputs to ensure alignment with ISO 42001 performance and safety objectives.
12 chapters in this module
- Output accuracy metrics
- Model drift detection
- False positive rates
- Review cycle frequency
- Automated alerting
- Dashboard design
- Trend analysis
- Root cause process
- Corrective action logging
- Peer validation
- Management review format
- Continuous improvement loop
Module 9. Competency and Training for AI Governance
Ensure BIM teams meet ISO 42001 competency requirements through structured training and role-based responsibilities.
12 chapters in this module
- Role definitions
- Required knowledge areas
- Training frequency
- Skill assessment
- Onboarding process
- Refresher cycles
- Documentation standards
- Certification tracking
- Performance feedback
- Audit readiness drills
- External validation
- Improvement planning
Module 10. Third-Party and Vendor Oversight
Apply ISO 42001 requirements to third-party tools and services used in BIM workflows, including AI plugins and cloud platforms.
12 chapters in this module
- Vendor selection criteria
- Contractual terms
- Due diligence process
- Oversight frequency
- Access control
- Data handling rules
- Compliance verification
- Incident response
- Exit planning
- Audit rights
- Performance reviews
- Renewal checks
Module 11. Internal Audit and Assurance Process
Conduct ISO 42001-aligned internal audits of BIM-AI integration using repeatable checklists and evidence-based assessment.
12 chapters in this module
- Audit planning
- Evidence collection
- Checklist design
- Sampling method
- Finding documentation
- Remediation tracking
- Reporting hierarchy
- Management review
- Trend analysis
- Audit calendar
- Resource planning
- Competency verification
Module 12. Certification and Continuous Improvement
Prepare for ISO 42001 certification and maintain continual improvement in BIM-AI governance practices.
12 chapters in this module
- Certification roadmap
- Gap assessment
- Evidence pack
- Stage 1 audit prep
- Stage 2 audit prep
- Corrective action process
- Surveillance audit
- Re-certification
- Benchmarking
- Lessons learned
- Process refinement
- Knowledge transfer
How this maps to your situation
- New AI features in BIM software rollout
- Internal push for AI governance
- Client asks about AI accountability in models
- Preparing for ISO 42001 certification
Before vs. after
Before
AI governance feels like an add-on, something for someone else to handle. Your BIM models ship, but the reasoning behind AI-driven decisions isn't documented or visible to leadership.
After
You lead the conversation. Your models come with clear control mappings, audit-ready documentation, and ISO 42001 alignment baked in, making your work impossible to ignore in executive reviews.
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 2.5 hours per module, designed to fit around project deadlines, total time investment: 30 hours over 6-8 weeks.
If nothing changes
Without structured governance, AI in BIM remains a liability. Audits get delayed, clients question decisions, and your expertise stays in the background. The teams who document their AI use first will shape the standards.
How this compares to the alternatives
Unlike generic AI governance courses, this program is specific to BIM workflows and ISO 42001 implementation. No theory without application. Every chapter answers: 'What does this mean for my next model?'
Frequently asked
Is this course technical or managerial?
It's for practitioners. You'll learn how to apply ISO 42001 directly to BIM workflows, no abstract theory.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Do I need prior ISO 42001 experience?
No. The course starts with fundamentals and builds to implementation.
$199 one-time. Approximately 2.5 hours per module, designed to fit around project deadlines, total time investment: 30 hours over 6-8 weeks..
Within 24 hours your account in the learning environment is provisioned and the tailored implementation playbook is delivered alongside it.
30-day money-back guarantee·
144 chapters·
Hand-built playbook included·
Account access within 24 hours