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Repeatable artefacts that compound across AI deliverables under AI Act compliance

$199.00
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A tailored course, built for your situation

Repeatable artefacts that compound across AI deliverables under AI Act compliance

Build once, reuse across audits, vendor reviews, and governance cycles, a growing library of compliant AI deliverables tailored to EU requirements

$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.

Who this is for

Senior software engineer working at a data and AI platform company, involved in governance-adjacent engineering tasks with exposure to regulatory expectations like AI Act

Who this is not for

Engineers who only maintain legacy systems with no interface to compliance or external audit cycles

What you walk away with

  • Produce AI Act-aligned artefacts that are reusable across projects
  • Reduce time spent recreating similar documentation by 60-70%
  • Design modular risk assessments that plug into multiple system reviews
  • Maintain versioned control mappings that evolve with regulatory updates
  • Demonstrate compliance consistency across internal and external audits

The 12 modules (with all 144 chapters)

Module 1. Foundations of compounding AI governance work
Establish the mindset and structural patterns for creating reusable, AI Act-aligned artefacts from the first draft.
12 chapters in this module
  1. Define artefact reusability
  2. Map AI Act Article 13 to engineering outputs
  3. Identify high-reuse compliance tasks
  4. Structure for version control
  5. Tagging for cross-project retrieval
  6. Ownership without bottlenecks
  7. Balance specificity and flexibility
  8. Integrate with code review cycles
  9. Link artefacts to CI/CD
  10. Document assumptions once
  11. Track lineage across versions
  12. Establish naming conventions
Module 2. Modular risk assessment design
Break risk evaluations into reusable blocks that apply across models, teams, and review cycles.
12 chapters in this module
  1. Chunk risk by harm type
  2. Standardise severity scales
  3. Reuse likelihood assessments
  4. Template for high-risk functions
  5. Version control for updates
  6. Link to Article 6 compliance
  7. Automate risk score carryover
  8. Peer review workflows
  9. Embed risk logic in code
  10. Tag for audit readiness
  11. Adapt for domain differences
  12. Maintain change log
Module 3. Control mapping with reusability
Create control mappings that serve multiple frameworks without custom work each time.
12 chapters in this module
  1. Base mapping on AI Act Annex III
  2. Group controls by function
  3. Use canonical implementation patterns
  4. Link to secure development lifecycle
  5. Tag for technology scope
  6. Validate with test scripts
  7. Reuse evidence packages
  8. Align with ISO 42001 where applicable
  9. Version control mappings
  10. Automate control status updates
  11. Cross-reference with NIST AI RMF
  12. Update once, apply everywhere
Module 4. Validation scripts as compounding assets
Turn one-time validation checks into maintainable, reusable scripts that reduce audit preparation time.
12 chapters in this module
  1. Identify recurring validation needs
  2. Standardise input formats
  3. Build modular script functions
  4. Document assumptions inline
  5. Integrate with model registry
  6. Version control scripts
  7. Tag for use cases
  8. Automate execution schedule
  9. Output audit-ready reports
  10. Reusability scoring system
  11. Update legacy scripts
  12. Share across teams
Module 5. Documentation that compounds
Design system documentation to serve both engineers and auditors across multiple cycles.
12 chapters in this module
  1. Structure for dual audience
  2. Embed AI Act requirements
  3. Use canonical sections
  4. Link to code repositories
  5. Version alongside code
  6. Tag for retrieval
  7. Automate changelog inclusion
  8. Reduce narrative drift
  9. Include compliance rationale
  10. Standardise diagrams
  11. Reuse architecture descriptions
  12. Maintain living documents
Module 6. Versioning strategies for governance assets
Implement version control patterns that preserve history while enabling reuse.
12 chapters in this module
  1. Semantic versioning for artefacts
  2. Branching for use cases
  3. Tagging by compliance context
  4. Automate version updates
  5. Link to ticketing systems
  6. Track dependencies
  7. Deprecation workflows
  8. Reversion safeguards
  9. Audit trail generation
  10. Sync with product roadmap
  11. Notify downstream users
  12. Archive obsolete versions
Module 7. Cross-functional reuse patterns
Design artefacts to work across security, compliance, and engineering teams.
12 chapters in this module
  1. Identify shared needs
  2. Standardise terminology
  3. Create cross-team templates
  4. Establish ownership model
  5. Define contribution rules
  6. Link to Jira workflows
  7. Enable discoverability
  8. Integrate with wiki
  9. Align on review cycles
  10. Automate notifications
  11. Resolve version conflicts
  12. Scale reuse practices
Module 8. Automating artefact updates
Use tooling to propagate changes across related artefacts and reduce manual updates.
12 chapters in this module
  1. Map artefact dependencies
  2. Detect change triggers
  3. Build update workflows
  4. Leverage metadata tagging
  5. Integrate with CI/CD
  6. Automate evidence collection
  7. Alert on compliance drift
  8. Reduce rework effort
  9. Validate updated outputs
  10. Log automation actions
  11. Monitor effectiveness
  12. Optimise update scope
Module 9. Scaling artefacts across teams
Enable broader adoption without central bottlenecks or quality loss.
12 chapters in this module
  1. Define core patterns
  2. Create onboarding path
  3. Document best practices
  4. Establish feedback loop
  5. Curate template library
  6. Assign maintainers
  7. Track adoption metrics
  8. Improve discoverability
  9. Support customisation
  10. Balance standards and flexibility
  11. Measure reusability gains
  12. Scale sustainably
Module 10. Evidence packaging for audits
Assemble audit-ready bundles from existing artefacts with minimal new work.
12 chapters in this module
  1. Identify recurring audit asks
  2. Pre-package common responses
  3. Automate report generation
  4. Include version history
  5. Standardise delivery format
  6. Link to control mappings
  7. Tag for auditor types
  8. Update for regulatory changes
  9. Reduce audit prep time
  10. Ensure traceability
  11. Enable self-service access
  12. Improve audit outcomes
Module 11. Governance cycle acceleration
Shorten compliance cycles by leveraging existing artefacts.
12 chapters in this module
  1. Start with prior artefacts
  2. Update for new context
  3. Automate gap analysis
  4. Reduce review cycles
  5. Align with sprint rhythm
  6. Predict effort savings
  7. Demonstrate consistency
  8. Improve audit confidence
  9. Speed time to sign-off
  10. Track cycle time reduction
  11. Narrow feedback loops
  12. Reinvest time into innovation
Module 12. Sustaining compounding momentum
Instil long-term discipline to keep growing the asset library.
12 chapters in this module
  1. Measure reuse impact
  2. Celebrate efficiency wins
  3. Refine tagging system
  4. Update governance rules
  5. Train new hires
  6. Maintain template quality
  7. Solicit improvement ideas
  8. Link to performance goals
  9. Recognise contributors
  10. Scale to new domains
  11. Integrate with roadmap
  12. Compound for years

How this maps to your situation

  • Starting a new AI system review
  • Preparing for an external audit
  • Onboarding a new team member
  • Updating systems for regulatory changes

Before vs. after

Before
Starting from scratch every time, duplicating effort across audits and reviews
After
Leveraging a growing library of proven artefacts that accelerate every new compliance task

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, with templates and playbooks to accelerate implementation.

How this compares to the alternatives

Unlike generic compliance courses, this program focuses on engineering-grade artefacts that compound across real deliverables , not abstract concepts or one-size-fits-all frameworks.

Frequently asked

How is this different from general AI compliance training?
It focuses on creating reusable engineering artefacts , not just understanding regulations. You’ll build assets that save time on every future project.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Will this work if I’m not in a compliance role?
Yes. It’s designed for engineers who deliver systems that must meet AI Act requirements, regardless of title.
$199 one-time. Approximately 3 hours per module, with templates and playbooks to accelerate implementation..

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
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