A tailored course, built for your situation
Credentialed authority when peers question the approach
Build unshakable justification for ERP and AI automation design choices backed by recognized frameworks and audit-ready documentation
$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.
Having to re-explain or defend automation designs due to lack of accepted justification framework
The situation this course is for
Even well-structured automation initiatives stall when they can't withstand peer review. Without a common language tied to established standards, technical rationale gets dismissed as opinion, leading to rework, delayed rollouts, and eroded influence.
Who this is for
Technical ICs in enterprise environments who design or govern AI-driven automation within ERP or core operational platforms and need their work to survive scrutiny from compliance, security, or architecture review boards
Who this is not for
Those seeking high-level AI trends or generic automation tool training without depth in justification frameworks or control mapping
What you walk away with
- Map AI automation logic to recognized control frameworks (e.g., NIST, COBIT, ISO)
- Produce audit-ready documentation that preempts common challenges
- Articulate design intent using standardized risk and control language
- Leverage modular justification templates across projects
- Respond confidently to peer review using credentialed patterns
The 12 modules (with all 144 chapters)
Module 1. Foundations of Defensible Automation
Establish the core principles of justification-ready design in ERP and AI integration, emphasizing traceability, control alignment, and documentation integrity.
12 chapters in this module
- Why defensibility beats speed in automation
- The cost of undefended design choices
- Three pillars of credible automation
- Linking system logic to business risk
- Control frameworks in practice
- Audit expectations for AI logic
- Common review board objections
- Justification as enablement
- Designing for scrutiny
- Documentation that prevents rework
- The role of traceability
- Building your credibility baseline
Module 2. Mapping Automation to Control Standards
Learn how to align AI automation workflows with COBIT, NIST, and ISO control objectives to create inherently defensible architectures.
12 chapters in this module
- COBIT control mapping basics
- NIST AI RMF integration points
- ISO 27001 controls relevant to AI
- Translating policy into design
- Control gaps in automation
- Matching logic to requirements
- Documenting control coverage
- Cross-walking frameworks
- Risk-weighted control focus
- Control ownership models
- Third-party validation paths
- Maintaining control alignment
Module 3. Audit-Ready Artifact Creation
Produce documentation that survives formal review by embedding control language, decision rationale, and traceability from day one.
12 chapters in this module
- Audit lifecycle basics
- What auditors look for in AI
- Design rationale templates
- Version-controlled documentation
- Data provenance tracking
- Change logging essentials
- Control exception handling
- Automated evidence collection
- Review board submission pack
- Maintaining audit trail
- Common documentation fails
- Defensible naming conventions
Module 4. Structured Justification Language
Master the vocabulary used in governance reviews to articulate technical decisions in terms that compliance and risk teams accept.
12 chapters in this module
- Risk language vs engineering terms
- Translating model logic clearly
- Using control terminology
- Avoiding technical jargon
- Writing for non-engineers
- Standardized explanation patterns
- Justification flow templates
- Common misinterpretations
- Clarity over complexity
- Precision in intent statements
- Simplifying without diluting
- Peer review simulation
Module 5. Automation Design Pattern Validation
Evaluate and refine common ERP-AI integration patterns against defensibility criteria to ensure long-term viability.
12 chapters in this module
- Pattern review framework
- Legacy integration risks
- API-based automation checks
- Data pipeline defensibility
- Model retraining safeguards
- Error handling transparency
- Fallback mechanism clarity
- Authentication in automation
- Permission inheritance logic
- Logging for accountability
- Pattern reuse criteria
- Version rollback clarity
Module 6. Cross-Functional Influence Tactics
Build consensus by framing automation decisions in terms that security, compliance, and finance teams recognize and trust.
12 chapters in this module
- Understanding reviewer motives
- Compliance team priorities
- Security review expectations
- Finance control concerns
- Speaking control language
- Preempting objections
- Building coalition support
- Influence without authority
- Documentation as diplomacy
- Meeting design review boards
- Positioning for approval
- Managing stakeholder scope
Module 7. Modular Justification Templates
Create reusable justification blocks that accelerate future automation projects and ensure consistency across teams.
12 chapters in this module
- Template design principles
- Reusable rationale modules
- Control mapping snippets
- Risk assessment fragments
- Audit response sections
- Change justification blocks
- Architecture decision records
- Pattern-based documentation
- Template versioning
- Internal licensing model
- Onboarding with templates
- Scaling through reuse
Module 8. Defensibility in AI Model Integration
Apply defensibility principles specifically to AI/ML model deployment within ERP workflows, covering versioning, drift detection, and explainability.
12 chapters in this module
- Model integration risks
- Version control for AI
- Drift detection protocols
- Explainability requirements
- Bias assessment timing
- Training data documentation
- Model validation cycles
- Human-in-the-loop design
- Fallback triggers
- Performance thresholding
- Model retirement planning
- Revalidation checklists
Module 9. ERP-Specific Automation Risks
Identify and mitigate risks unique to ERP environments, including financial data integrity, access controls, and regulatory reporting dependencies.
12 chapters in this module
- Financial data sensitivity
- Segregation of duties
- Access control inheritance
- Audit log completeness
- Regulatory reporting locks
- Change freeze periods
- Data residency concerns
- Cross-system dependencies
- Master data integrity
- Reconciliation requirements
- Period close impacts
- Compliance boundary mapping
Module 10. Building Credentialed Artifacts
Develop documentation and design packages that carry weight in formal reviews and establish individual authority.
12 chapters in this module
- What makes an artifact credible
- Third-party recognition paths
- Certification-aligned outputs
- Evidence pack assembly
- Versioned design records
- Timestamped approvals
- External validation paths
- Peer-reviewed templates
- Credibility signaling
- Formal sign-off workflows
- Reputation compounding
- Authority through consistency
Module 11. Peer Review Simulation
Practice defending automation designs using mock review boards and structured feedback loops that mirror real-world scrutiny.
12 chapters in this module
- Review board personas
- Compliance pushback drills
- Security challenge patterns
- Finance control questions
- Risk team objections
- Legal hold scenarios
- Documentation gap tests
- Justification stress tests
- Response refinement
- Confidence under pressure
- Improvement tracking
- Post-review follow-up
Module 12. Defensible Automation Playbook
Assemble a personalized implementation guide with templates, checklists, and frameworks tailored to your current automation context.
12 chapters in this module
- Playbook structure
- Custom control mappings
- Personalized templates
- Project onboarding flow
- Review board prep checklist
- Documentation starter pack
- Risk register integration
- Change management alignment
- Stakeholder comms plan
- Audit simulation schedule
- Continuous improvement loop
- Authority growth roadmap
How this maps to your situation
- Designing a new AI-driven ERP integration
- Responding to audit findings in automation
- Presenting automation plan to compliance board
- Scaling automation practices across teams
Before vs. after
Before
Automation designs questioned or delayed due to lack of formal justification or traceability to controls
After
Confident, structured rationale backed by recognized frameworks that gains approval faster and enhances technical authority
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 3 hours per module, designed for completion in 6 weeks with practical application between modules.
If nothing changes
Continued reliance on informal justification leads to rework, eroded influence in cross-functional reviews, and missed opportunities to lead automation governance initiatives.
How this compares to the alternatives
Unlike generic AI or ERP courses, this program focuses specifically on defensibility, giving you the structured justification skills that turn technical work into recognized authority.
Frequently asked
Who is this course designed for?
Practitioners building or governing AI automation within ERP or core business systems who need their designs to withstand formal review and peer scrutiny.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Will this help me in governance reviews?
Yes, every module builds skills specifically used in compliance, security, and architecture review boards to justify automation design choices.
$199 one-time. Approximately 3 hours per module, designed for completion in 6 weeks with practical application between modules..
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