Reserving & Actuarial
Complex multi-party engagements where risk, regulation, and claim resolution require coordinated action.
This interactive experience is the shipped product itself — the same application code customers run in production, mounted read-only in your browser over a real sample journey. Not a video, not a mockup: because the demo and the product are one codebase, it can never drift from the real thing.
Inside this journey
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Executive Outcome Alignment
Align on regulatory, audit, and board objectives, timelines, stakeholders, and measurable success criteria for the actuarial engagement.
Alignment Questions
Quick orientation: who we'll be working with
- Select the lines of business this engagement should cover
- Indicate how frequently you engage external actuarial support for reserving, rate work, or capital analysis
- Describe the primary objective you need this engagement to achieve, pick up to two
- Identify who in your organization will have final authority to approve scope and sign deliverables
- Provide the earliest milestone date that must be met to fit your financial close or regulatory filing calendar
Where your numbers actually come from
- If your reserve estimates were audited tomorrow, which data gaps would most likely be challenged?
- Name the core systems that hold the claims, policy, and payment records we would need for analysis
- Assess how clean and analysis-ready your paid and incurred triangles are across the key lines of business
- Confirm who owns the extract process and can provide a data dictionary or lineage for claims and policy files
- Estimate how long it would take to produce claim-level case and payment files for the past five years if requested
- Point out the single data deficiency that would prevent us from completing an audit-defensible reserve opinion
What a miss actually costs you
- Imagine a reserve or rate adjustment of 5-10%, how would that affect reported capital, rating agency outlook, or dividend plans
- Select the external reviewers who are most sensitive to reserve volatility in your reporting
- When a prior external actuarial opinion differed materially from your internal view, what downstream actions followed
- Estimate how often audit or regulator questions delay a filing or financial close by more than one reporting period
- If an external actuarial opinion required a material modification, would leadership accept the remediation timetable and cost within your reporting deadline
Where projects typically get stuck
- Identify the recurring bottleneck in your processes that causes the largest delay or rework in reserve, rate, or capital projects
- Name the team or function that most often creates friction when assumptions or validations are requested
- How long does it typically take to resolve a data or assumption dispute between actuarial and finance
- Has previous consultant work ever failed auditor or regulator scrutiny, and if so, what was the primary issue
- Which operational gap would cause you to postpone or cancel an engagement immediately
The other routes you're considering
- Why would you keep doing this work internally instead of hiring an external actuarial firm
- List the alternatives you have evaluated or currently have in active consideration for this scope
- State the performance threshold your incumbent or internal approach must meet for you to stay with it
- Has anyone on your team proposed solving this without an external partner and described how they would fund the required tooling or headcount
- Would you prefer speed or documented audit defensibility if a competing vendor promises faster delivery at lower cost but lacks audit precedents
Data, systems, and integration readiness
- Point to the single integration dependency most likely to blow up your timeline if it is not available
- Which systems will we need API or extract access to for claims, policy, and payment data
- Are APIs or automated extracts available for those systems, or will data delivery be manual
- Who will act as the technical owner responsible for delivering extracts and resolving ETL issues during the engagement
- Could you accept analysis based on aggregated triangles if claim-level data cannot be provided within agreed timeframes
Decision makers and governance
- Who would need to sign off if the actuary's selected reserve caused a capital impact greater than your internal target
- List the core decision-makers who will participate in acceptance, escalation, or final sign-off
- Specify the governance or independence confirmations auditors will require from an external actuarial firm
- How does your procurement or legal team typically handle statement of work and engagement agreement timelines
- Is there any corporate policy or regulator prohibition that would prevent engaging an external firm for reserve opinions
Success measures and acceptance gates
- Indicate the single metric or outcome you would point to when you say this engagement delivered value to the company
- Choose the deliverables that require explicit client sign-off to trigger billing
- Explain how your auditor or regulator will validate the assumptions and methodology used in our deliverable
- Specify the acceptance criteria you require for sign-off, for example reconciliation to GL within 1-2%
- Should our first report fail to meet your acceptance criteria, would you expect a remediation timeline that still fits your reporting deadline or would that trigger re-engagement terms
Time, pilot ideas, and next steps
- Assuming everything aligns, what would accelerate your signature this quarter
- Provide your target decision date to award the engagement
- Pick the deliverable you would want as a pilot to validate capability quickly
- Are there hard blackout dates around month-end, quarter-end, or year-end close that would prevent work during specific weeks
- Could you sign a fixed-price pilot that meets your acceptance criteria without further delay
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Analysis Working Sessions
Run structured sessions with actuarial, finance, and data teams to review source data, assumptions, modeling approach, and evidence needs.
Working Meetings
- Data Inventory and Access Plan
- Modeling Methodology and Key Assumptions Ratification
- Data Quality Triage and Remediation Plan
- Evidence Review and Exception Closure
- Provide the finalized pre-run checklist confirming readiness to start the first model execution.
- A prioritized defect list is agreed with remediation tasks and test criteria for each priority item.
- A contingency plan is set for defects that cannot be remediated before the next modeling milestone.
- Publish the prioritized defect list with remediation steps and test acceptance criteria.
- Deliver corrected test extracts addressing priority defects according to the agreed schedule.
- Present results of automated and manual data validation
- Provide a reconciliation report mapping corrected fields to the original source system fields.
- Review each evidence item against acceptance criteria
- All evidence items are evaluated and either closed or assigned a clear additional evidence requirement.
- A signed pre-run checklist is created that defines the conditions for proceeding to modeling runs.
- Publish the evidence evaluation log showing closed items and the remaining evidence required for open items.
- Deliver any remaining supporting documents or corrected data extracts specified during the session.
- Confirm engagement scope and success criteria
- A finalized data inventory with required fields and schema definitions is agreed.
- An access and delivery plan is set, including test file and final delivery dates.
- Publish the finalized data inventory spreadsheet with schema definitions and sample records.
- Provide a test extract of each dataset in the agreed format within three business days of the meeting.
- Document the secure transfer method and credentials test result for data exchange.
- Recap objectives and constraints
- A assumptions register is produced with accepted, disputed, and evidence-required flags for each assumption.
- Modeling approach per line of business is confirmed and documented for the next analysis step.
- Publish the assumptions register with notation for accepted, disputed, and evidence-required items.
- List the specific evidentiary items and datasets required to substantiate each disputed assumption.
- Produce a short methodological note explaining why each modeling approach was chosen.
- Classify defects by impact and urgency
- Present recommended modeling approach per line
- Present preliminary data inventory
- Resolve or reclassify remaining exceptions
- Agree final pre-run checklist
- Validate required data elements and schemas
- Review and decide on key assumptions
- Agree remediation tasks and test acceptance criteria
- Define evidence requirements and acceptance criteria
- Agree access methods, delivery formats, and deadlines
- Schedule follow-up checkpoint
- Set checkpoints and contingency options
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Engagement Scope
Define the engagement deliverables (reserve opinions, rate analyses, capital models), data responsibilities, timelines, and acceptance criteria.
Scope Configuration
- Prepare Statement of Actuarial Opinion
- Indicated Reserves Using Triangle Methods
- Individual Claim-Level Stochastic Reserve Modeling
- Stochastic Reserve Range and Scenario Analysis
- Reserve Reconciliation to Financial Statements
- Rate Level Indication and Filing Package
- Class Plan Review and Rate Relativity Analysis
- Regulatory Filing Preparation and Submission Support
- ORSA and Economic Capital Modeling Report
- Stress Testing and Capital Adequacy Scenarios
- Claims and Policy Data Cleansing for Modeling
- Actuarial Appraisal for M&A Transactions
- Expert Testimony and Litigation Support
Scope Questions
Prepare Statement of Actuarial Opinion
- Provide the target opinion type and reporting standard for the Statement of Actuarial Opinion (for example, NAIC SAO for statutory reporting, IFRS 17 disclosures, or a GAAP actuarial memo)
- List the lines of business and accident years the SAO should explicitly cover (for example: Commercial Auto 2015-2024; Workers Compensation 2018-2024)
- Indicate who will supply the key SAO inputs (loss development triangles, claim-level extracts, premium exposure files, actuarial memoranda)
- Confirm the acceptance criteria for the SAO deliverable: what auditor, regulator, or board sign-off is required and by what date
- Specify any independence attestations or conflict-of-interest disclosures required for the signing actuary (for regulator, auditor, or appointed actuary purposes)
Indicated Reserves Using Triangle Methods
- Identify which triangle formats you maintain (paid triangles, incurred triangles, case-incurred by accident year or report year) and provide sample files
- Describe the development period and calendarization convention used in your triangles and Schedule P submissions (monthly, quarterly, annual)
- When do you require the triangle-method reserve indication relative to your financial close cycle (for example, within 5 business days after close)?
- Select the confidence level(s) or percentiles you want reported for triangle indications (for example, best estimate, 75th percentile, 90th percentile)
- Specify exclusions, bulk IBNR treatment, or large-loss pools to be handled separately with reference to Schedule P line items
Individual Claim-Level Stochastic Reserve Modeling
- Choose which lines of business and claim types require claim-level stochastic modeling (for example, long-tail general liability, complex bodily injury, life disability)
- Attach a sample claim-level extract schema or list required fields (claim_id, report_date, payment_date, case_reserve, claim_status, indemnity_amount, expense_amount)
- State the minimum historical window and closed-claim history you expect for calibration (for example, 10 years of closed claims or all claims since 2012)
- Include any contract or reinsurance features that materially change claim development (for example, excess attachment points, reinstatement provisions, aggregated stop-loss) and provide examples
- Upload or describe run-time and computational constraints for stochastic runs (for example, maximum iterations, maximum runtime in hours, use of your compute cluster)
Stochastic Reserve Range and Scenario Analysis
- Report the scenario types and magnitudes you want included in range analysis (for example, development factor shocks, claim severity inflation 10-30%, tail deterioration scenarios)
- Supply the economic or inflation assumptions you want tested (for example, CPI series, claim-severity inflation by line) or indicate if we should source industry indices
- Assign which percentiles or distributional metrics you require from stochastic output (for example, P50 range, P90, conditional tail expectation)
- Approve whether narrative explanations for each stress scenario are required for regulator or board review
- Explain any constraints tied to reinsurance recoverables or collateral arrangements that should be reflected in net reserve ranges
Reserve Reconciliation to Financial Statements
- Outline the mapping between actuarial reserve outputs and your general ledger accounts (GL codes) and financial statement line items
- Name the internal control documents or reconciliation schedules currently used (for example, monthly reserve roll-forward, audit trail spreadsheets)
- Detail the roll-forward or disclosure format required for auditors (for example, schedule showing opening reserves, paid, incurred, reestimates, and closing reserves)
- Quantify the acceptance thresholds for reconciliation differences that would trigger adjustment or disclosure (for example, $ or percentage materiality thresholds)
- Identify the roles involved in reconciliation reviews and approval (for example, appointed actuary, finance lead, audit lead) and provide expected sign-off timelines
Rate Level Indication and Filing Package
- Explain the rate-level indication methods and exhibits you expect in the filing package (for example, loss cost multiplier, pure premium, rate-change exhibits) and cite form references
- Describe the experience period, trending, and credibility splits to use for rate indications (for example, 3-year experience trended to midpoint with 50% credibility)
- Select the target filing formats and jurisdictions for the rate filing (for example, SERFF package, state form exhibits, actuarial memo) and list states
- Include any external constraints that should limit indicated increases (for example, state-imposed caps, market rate bands)
- Supply the exposure and loss cost datasets and confirm whether policy-level exposure, audited premiums, or premium audits are available for rating analysis
Class Plan Review and Rate Relativity Analysis
- Provide a copy of class definitions, territory codes, and a sample class plan mapping used in your ratebook
- Confirm whether current rating relativities and algorithms are documented and attach the last approved relativity table
- Detail any planned product or class changes (for example, endorsements, split of coverages) that will affect relativity analysis
- Choose preferred statistical approaches for relativity testing (for example, generalized linear model with exposure offsets, constrained least squares, credibility-weighted blend)
- Report any regulatory or internal class-specific caps or bands that must be respected when recommending relativity changes
Regulatory Filing Preparation and Submission Support
- List the target states and filing jurisdictions and indicate any jurisdiction-specific deadlines or filing windows
- Indicate the filing components required by jurisdiction (for example, actuarial memo, supporting exhibits, SERFF attachments) and flag any special forms
- Attach whether you want draft regulator responses prepared and indicate who will own submission tracking and communications
- Validate the acceptance criteria for filings: what regulator acknowledgment or approval stage constitutes completion for this engagement (for example, SERFF acknowledgement, effective date, formal approval letter)
- Upload prior filing correspondence or regulator objections on similar lines to inform rebuttal narratives
ORSA and Economic Capital Modeling Report
- Name the ORSA time horizon, risk categories, and scenario scope required by your regulator or board (for example, 1-year solvency projection and 3-year strategic view)
- State the internal capital model inputs available (loss distributions, premium projections, reinsurance treaties, investment return assumptions) and any known data gaps
- Pick the capital metrics required for the ORSA deliverable (for example, economic capital at 1-in-200, VaR99.5, Solvency II SCR equivalence)
- Assign which governance documents should be bundled in the ORSA pack (risk appetite statement, model validation reports, recent board minutes)
- Who will provide portfolio projections, expense budgets, and reinsurance cashflows required for stress testing in the ORSA model
Stress Testing and Capital Adequacy Scenarios
- Pick the stress scenarios to include (for example, pandemic shock, reserve strengthening across long-tail lines, interest rate shock) and indicate intended severities
- Outline how stress scenarios tie to regulatory capital triggers or internal escalation thresholds (for example, breach of internal capital buffer triggers board escalation)
- Do you have macroeconomic scenario files (GDP, CPI, yield curves) to supply, or should we source market data for scenario inputs
- Set the notification and escalation rules if stress testing shows capital insufficiency (who should be alerted and within what timeframe)
- Deliver the expected stress-testing outputs you require (for example, executive dashboard, PowerPoint summary, full model workbook) and preferred file formats
Claims and Policy Data Cleansing for Modeling
- Highlight common data issues to address for modeling (for example, missing report_date values, duplicated claim_id, inconsistent policy effective/expiration dates) and provide sample error counts
- Quantify acceptable data quality thresholds that define remediation needs (for example, percent missing report_date, percent of claims with unknown reserve)
- Clarify the authoritative sources for policy and claims (policy master file, claims register, billing system) and confirm the preferred access method
- Approve whether cleansing should be deterministic only or should include statistical imputation for missing fields used in stochastic models
- Deliver the cleansing outputs you require (for example, clean extracts, data dictionary, reconciliation report) and an expected delivery schedule
Actuarial Appraisal for M&A Transactions
- Declare the transaction type and timeline (for example, sell-side valuation, buy-side diligence, SPA timeline) and the target close date
- Enumerate the valuation outputs required (for example, present value of in-force, indemnity tail reserve estimate, embedded value) and the desired level of granularity
- Clarify confidentiality and access constraints for diligence (for example, virtual data room access, pseudonymized extracts) and the expected NDA turnaround
- Discuss whether pro forma adjustments are required for reinsurance, portfolio transfers, or loss portfolio transfers and provide examples
- Set the expected deliverable cadence for appraisal work (for example, initial indicative memo, draft valuation, final certified appraisal) and turnaround expectations
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Engagement Agreement
Finalize commercial terms, independence confirmations, deliverable schedule, and governance needed for audit and regulatory review.
Agreement Modules
- Master Services Agreement (MSA)
- Statement of Work (SOW)
- Commercial Terms & Order Form
- Independence and Conflict of Interest Confirmation
- Deliverable Schedule and Acceptance Certificate
- Audit & Regulatory Governance Addendum
- Data Processing and Security Addendum (conditional)
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Delivery Execution
Perform analyses, model runs, report drafting, and stakeholder reviews with clear owners, milestones, and escalation paths.
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Delivery Acceptance
Client sign-off confirming each deliverable (reports, Statements of Actuarial Opinion, filings) meets the agreed acceptance criteria and triggers closure/billing.
Checklist items
- Receive written acceptance for Final Actuarial Report
- Receive signed Statement of Actuarial Opinion (SAO) acceptance
- Obtain signed acceptance of Model and Assumptions package
- Confirm regulatory filing submission and acknowledgement
- Secure documented independence and conflict-of-interest confirmation
- Confirm transfer of final deliverables to agreed secure repository
- Obtain auditor acceptance where required by scope
- Issue final engagement invoice triggered by acceptance
- Record formal engagement closure in project governance system
- Agree post-delivery support and regulatory escalation plan
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Sustain & Regulatory Support
Track outcomes, provide ongoing regulatory/auditor support, and manage issues and enhancement requests to maintain actuarial governance.
Review Meetings
- Go-live Health Check
- First Measurement Review
- Regulatory and Audit Support Quarterly Review
- Operational Issue Burn-down
- Annual Governance and Regulatory Preparedness Review
Issues & Enhancements
- Publish a prioritized list of control enhancements to be implemented before the next major filing window.
- Summary of recent regulatory interactions
- All open audit questions are assigned closure actions or documented on a tracked escalation path.
- Evidence traceability is validated and any documentation gaps are scheduled for completion before the next filing.
- Deliver a closed-item register for audit questions showing resolution status and supporting evidence links.
- Update the model control remediation log with root causes and verification steps completed.
- Review open ticket queue
- Reduce the specific open governance issue count by a defined amount before the next burn-down meeting.
- Assign closure dates to all tickets prioritized for the next operational window.
- Publish the prioritized burn-down list with target closure dates and required evidence for each item.
- Record a decision on each enhancement request indicating immediate action, deferred, or roadmap placement.
- Year-to-date metric summary
- Confirm that annual governance and control improvements reduced recurring audit findings to the agreed level or document further actions if not.
- Agree the evidence calendar and support plan for the next regulatory cycle.
- Produce the annual governance report summarizing improvements, outstanding risks, and the evidence calendar for the next 12 months.
- Reconfirm scope, acceptance criteria, and owners
- All ongoing owners for regulatory, audit, and governance responsibilities are confirmed and recorded in Engagement Scope.
- Critical access or evidence blockers are assigned remediation tasks with target dates.
- Publish an updated owner and escalation matrix reflecting confirmed roles and contact points.
- Deliver a short remediation plan for all high-priority blockers with target completion dates.
- Produce a remediation tracker listing each corrective action, expected result, and target completion date.
- Present first-period outcome data
- Identify the root causes for any metric shortfalls and document corrective actions with resolution timelines.
- Agree the evidence package and reporting cadence for the next quarterly regulatory review.
- Publish the dataset and examples used to calculate regulatory query resolution time for auditability.
- Validate deployment and access
- Prioritize and schedule burn-down tasks
- Metric review
- Root cause diagnosis for any gaps
- Controls and process improvements review
- Regulatory change implications
- Enhancement request triage
- Agree corrective actions and timelines
- Early support signals
- Evidence and model control audit
- Open blockers and immediate remediation
- Close or escalate open audit questions
- Confirm readiness for next quarterly review
- Short blockers review
- Annual support plan and evidence calendar