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Sources and specific examples on hand when peers push back

$199.00
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A tailored course, built for your situation

Sources and specific examples on hand when peers push back

Build unshakable reasoning around ORSA decisions with real-world precedents and clear logic chains

$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 defend ORSA assumptions without ready examples or documented rationale

The situation this course is for

Too often, practitioners fall back on 'this is how we've always done it' when challenged on model inputs or scenario weightings. That erodes credibility in cross-functional reviews and limits influence.

Who this is for

Risk practitioners leading ORSA or internal capital model reviews who need to justify methodological choices under scrutiny

Who this is not for

Those looking for introductory ORSA training or general compliance overviews

What you walk away with

  • Trace every ORSA assumption back to a documented source or precedent
  • Respond to challenges with specific examples from prior cycles or peer firms
  • Map NAIC ORSA guidance directly to internal model design choices
  • Build annotated workpapers that preempt common pushback
  • Structure defensible logic chains for risk aggregation and scenario weighting

The 12 modules (with all 144 chapters)

Module 1. Anchoring ORSA assumptions in documented precedent
Learn how to tie model inputs to regulatory guidance, historical filings, or industry benchmarks to eliminate reliance on institutional memory.
12 chapters in this module
  1. Identifying core assumptions in ORSA workflows
  2. Mapping inputs to NAIC ORSA guidance sections
  3. Using prior-year filings as justificatory sources
  4. Benchmarking against public peer disclosures
  5. Documenting rationale for volatility assumptions
  6. Referencing actuarial standards in model design
  7. Sourcing scenario weights from strategic plans
  8. Linking risk appetite to governance minutes
  9. Citing internal research in assumption memos
  10. Validating tail events with incident logs
  11. Aligning aggregation methods with precedent
  12. Avoiding unsubstantiated expert judgment
Module 2. Building logic chains for capital estimates
Turn capital model outputs into defensible narratives with step-by-step justification that holds up in technical review.
12 chapters in this module
  1. Tracing capital results to base assumptions
  2. Explaining aggregation weights with examples
  3. Validating diversification benefits
  4. Justifying concentration adjustments
  5. Linking model outputs to risk appetite
  6. Documenting stress test calibration
  7. Referencing past shocks to justify buffers
  8. Cross-walking capital to strategic risks
  9. Explaining tail dependence assumptions
  10. Mapping internal model results to Solvency II
  11. Using economic scenarios to justify margins
  12. Annotating capital allocations by business line
Module 3. Responding to technical challenges with precision
Develop targeted rebuttals to common critiques of ORSA design, scope, and aggregation methodology.
12 chapters in this module
  1. Handling questions about correlation assumptions
  2. Defending aggregation method choices
  3. Responding to scope challenges
  4. Justifying scenario severity levels
  5. Explaining tail risk modeling approach
  6. Addressing model validation feedback
  7. Clarifying aggregation vs. diversification
  8. Debunking false precision claims
  9. Supporting judgment-based inputs
  10. Challenging external benchmark relevance
  11. Responding to audit inquiries
  12. Handling cross-functional model skepticism
Module 4. Sourcing examples from peer practice and public data
Pull concrete examples from public disclosures, regulatory filings, and industry research to strengthen internal reasoning.
12 chapters in this module
  1. Finding peer ORSA disclosures in 10-Ks
  2. Extracting scenario assumptions from proxies
  3. Benchmarking capital levels across insurers
  4. Using RBC ratios as reference points
  5. Analyzing tail event responses in filings
  6. Mapping risk categories to NAIC templates
  7. Comparing aggregation methods in public data
  8. Sourcing ERM framework disclosures
  9. Using A.M. Best reports as justification
  10. Benchmarking scenario weights
  11. Leveraging SIFMA publications
  12. Citing FSOC reports in risk narratives
Module 5. Documenting ORSA rationale for review cycles
Create clear, reusable workpapers that capture the why behind each decision, reducing rework and strengthening audit readiness.
12 chapters in this module
  1. Designing annotated assumption logs
  2. Versioning rationale across cycles
  3. Creating decision trace matrices
  4. Linking changes to governance updates
  5. Summarizing key changes by risk domain
  6. Capturing dissenting views
  7. Tracking assumption evolution
  8. Building change justification templates
  9. Organizing documentation by NAIC section
  10. Indexing sources by model input
  11. Preparing reviewer-facing summaries
  12. Archiving rationale for continuity
Module 6. Structuring defensible risk aggregation methods
Justify how risks are combined across domains with clear logic, precedent, and mathematical transparency.
12 chapters in this module
  1. Explaining correlation matrix construction
  2. Defending assumed independence
  3. Justifying simplifying assumptions
  4. Linking aggregation to risk appetite
  5. Validating concentration adjustments
  6. Using historical loss data to inform weights
  7. Explaining tail risk combination
  8. Mapping diversification to business model
  9. Documenting model limitations
  10. Cross-checking with internal audit
  11. Aligning with Solvency II approaches
  12. Annotating dependence assumptions
Module 7. Mapping ORSA to strategic planning cycles
Connect model outputs to business strategy with documented links that increase relevance and defensibility.
12 chapters in this module
  1. Aligning risk scenarios with strategy
  2. Using ORSA to inform capital allocation
  3. Linking risk appetite to growth plans
  4. Mapping shock responses to contingency plans
  5. Incorporating M&A risks into ORSA
  6. Using ORSA to stress test new products
  7. Connecting model outputs to board updates
  8. Justifying strategic risk selections
  9. Documenting scenario relevance
  10. Aligning time horizons with planning
  11. Using ORSA in divestiture analysis
  12. Linking capital margins to innovation
Module 8. Defending scenario selection and severity
Articulate why specific scenarios were chosen and how their severity was calibrated, using data and precedent.
12 chapters in this module
  1. Justifying baseline scenario assumptions
  2. Explaining stress scenario severity
  3. Linking shocks to historical events
  4. Defending tail event likelihood
  5. Using economic forecasts as inputs
  6. Benchmarking severity levels
  7. Validating scenario realism
  8. Documenting scenario origins
  9. Handling challenges to plausibility
  10. Responding to 'worst-case' critiques
  11. Explaining frequency assumptions
  12. Cross-checking with catastrophe models
Module 9. Using actuarial standards to justify modeling choices
Anchor model design in professional actuarial guidance to strengthen technical credibility.
12 chapters in this module
  1. Applying NAIC actuarial standards
  2. Referencing ASOP guidance in memos
  3. Using SOP 16-1 for internal models
  4. Applying credibility theory to inputs
  5. Defending smoothing assumptions
  6. Justifying curve fitting methods
  7. Using loss development patterns
  8. Referencing loss reserving standards
  9. Aligning with valuation practices
  10. Applying stochastic methods with care
  11. Validating model outputs against standards
  12. Citing actuarial research in reviews
Module 10. Preempting challenges in cross-functional reviews
Anticipate and address technical questions from finance, actuarial, and risk teams with documented responses.
12 chapters in this module
  1. Predicting finance team questions
  2. Answering capital allocation challenges
  3. Responding to model validation feedback
  4. Handling actuarial skepticism
  5. Clarifying risk aggregation logic
  6. Justifying time horizon choices
  7. Defending model simplifications
  8. Explaining tail risk assumptions
  9. Addressing data quality concerns
  10. Supporting judgment-based inputs
  11. Responding to audit inquiries
  12. Aligning with internal control frameworks
Module 11. Building credibility through consistent documentation
Develop a reputation for rigor by maintaining clear, accessible records that stand up to scrutiny.
12 chapters in this module
  1. Creating standardized rationale templates
  2. Versioning model assumptions
  3. Indexing sources by risk domain
  4. Summarizing key changes annually
  5. Organizing files for audit readiness
  6. Using metadata to track decisions
  7. Building searchable rationale banks
  8. Linking assumptions to governance
  9. Documenting change control processes
  10. Maintaining reviewer access logs
  11. Creating executive summaries
  12. Archiving decision trails
Module 12. Sustaining defensibility across leadership changes
Ensure ORSA reasoning survives personnel transitions with clear, institutionalized knowledge.
12 chapters in this module
  1. Documenting institutional memory
  2. Capturing expert judgment
  3. Building onboarding materials
  4. Creating model handover checklists
  5. Archiving rationale across cycles
  6. Training new staff on assumptions
  7. Preserving decision context
  8. Indexing by risk driver
  9. Linking to governance updates
  10. Maintaining consistency across reviews
  11. Updating precedents over time
  12. Adapting to new regulatory guidance

How this maps to your situation

  • Defending ORSA assumptions in executive review
  • Responding to internal audit challenges
  • Justifying capital model design to actuaries
  • Explaining scenario choices to board members

Before vs. after

Before
Relying on general practice or memory when defending ORSA choices
After
Walking through the why behind every assumption with sourced examples and clear logic

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 week over 12 weeks, with self-paced access to all materials.

If nothing changes
Continuing to depend on unstated assumptions increases challenge risk in reviews and limits influence in strategic discussions.

How this compares to the alternatives

Unlike generic compliance courses, this program focuses exclusively on building defensible, source-backed reasoning for ORSA-specific decisions , not broad overviews or awareness training.

Frequently asked

Is this course focused on ORSA only?
Yes, it is tailored specifically to defending ORSA design, assumptions, and outputs with concrete justifications.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Does the course cover Solvency II or NAIC MAR?
It references both as relevant frameworks for context, but the focus is on defensibility within ORSA processes.
$199 one-time. Approximately 2.5 hours per week over 12 weeks, with self-paced access to all materials..

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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